awesome-human-pose-estimation
Human Pose Estimation Resources
A curated collection of resources and papers on human pose estimation, including methods, techniques, and tools for 2D and 3D pose estimation.
Human Pose Estimation Related Publication
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Awesome Human Pose Estimation / Basics | |||
pose_related_human_knowledge | |||
Awesome Human Pose Estimation / Papers / 2D Pose estimation | |||
Learning Human Pose Estimation Features with Convolutional Networks | Jain, A., Tompson, J., Andriluka, M., Taylor, G.W., & Bregler, C. (ICLR 2013) | ||
DeepPose: Human Pose Estimation via Deep Neural Networks | Toshev, A., & Szegedy, C. (CVPR 2014) | ||
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation | - Tompson, J., Jain, A., LeCun, Y., & Bregler, C. (NIPS 2014) | ||
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation | Jain, A., Tompson, J., LeCun, Y., & Bregler, C. (ACCV 2014) | ||
Efficient Object Localization Using Convolutional Networks | Tompson, J., Goroshin, R., Jain, A., LeCun, Y., & Bregler, C (CVPR 2015) | ||
Flowing ConvNets for Human Pose Estimation in Videos | - Pfister, T., Charles, J., & Zisserman, A. (ICCV 2015) | ||
Convolutional Pose Machines | - Wei, S., Ramakrishna, V., Kanade, T., & Sheikh, Y. (CVPR 2016) | ||
Human Pose Estimation with Iterative Error Feedback | Carreira, J., Agrawal, P., Fragkiadaki, K., & Malik, J. (CVPR 2016) | ||
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation | - Pishchulin, L., Insafutdinov, E., Tang, S., Andres, B., Andriluka, M., Gehler, P.V., & Schiele, B. (CVPR 2016) | ||
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model | - Insafutdinov, E., Pishchulin, L., Andres, B., Andriluka, M., & Schiele, B. (ECCV 2016) | ||
Stacked Hourglass Networks for Human Pose Estimation | - Newell, A., Yang, K., & Deng, J. (ECCV 2016) | ||
Multi-context Attention for Human Pose Estimation | - Chu, X., Yang, W., Ouyang, W., Ma, C., Yuille, A.L., & Wang, X. (CVPR 2017) | ||
Towards Accurate Multi-person Pose Estimation in the Wild | - Papandreou, G., Zhu, T., Kanazawa, N., Toshev, A., Tompson, J., Bregler, C., & Murphy, K.P. (CVPR 2017) | ||
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields | - Cao, Z., Simon, T., Wei, S., & Sheikh, Y. (CVPR 2017) | ||
Learning Feature Pyramids for Human Pose Estimation | - Yang, W., Li, S., Ouyang, W., Li, H., & Wang, X. (ICCV 2017) | ||
Human Pose Estimation Using Global and Local Normalization | Sun, K., Lan, C., Xing, J., Zeng, W., Liu, D., & Wang, J. (ICCV 2017) | ||
Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation | Chen, Y., Shen, C., Wei, X., Liu, L., & Yang, J. (ICCV 2017) | ||
RMPE: Regional Multi-person Pose Estimation | - Fang, H., Xie, S., & Lu, C. (ICCV 2017) | ||
Self Adversarial Training for Human Pose Estimation | - Chou, C., Chien, J., & Chen, H. (ArXiv 2017) | ||
Recurrent Human Pose Estimation | - Belagiannis, V., & Zisserman, A. (FG 2017) | ||
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation | Ning, G., Zhang, Z., & He, Z. (IEEE Transactions on Multimedia 2018) | ||
Human Pose Estimation with Parsing Induced Learner | Xuecheng Nie, Jiashi Feng, Yiming Zuo, Shuicheng Yan (CVPR 2018) | ||
LSTM Pose Machines | - Yue Luo, Jimmy Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, Liang Lin (CVPR 2018) | ||
Cascaded Pyramid Network for Multi-Person Pose Estimation | - Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, Jian Sun (CVPR 2018) | ||
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation | - Peng, Xi and Tang, Zhiqiang and Yang, Fei and Feris, Rogerio S and Metaxas, Dimitris (CVPR 2018) | ||
Human Pose Estimation with Parsing Induced Learner | - Xuecheng Nie, Jiashi Feng, Yiming Zuo, Shuicheng Yan (CVPR 2018) | ||
Through-Wall Human Pose Estimation Using Radio Signals | Mingmin Zhao,Tianhong Li, Mohammad Abu Alsheikh, Yonglong Tian, Hang Zhao, Antonio Torralba, Dina Katabi (CVPR 2018) | ||
Simple Baselines for Human Pose Estimation and Tracking | - Bin, Xiao, Haiping Wu, Yichen Wei (ECCV 2018) | ||
Multi-Scale Structure-Aware Network for Human Pose Estimation | Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu (ECCV 2018) | ||
Deeply Learned Compositional Models for Human Pose Estimation | - Wei Tang, Pei Yu, Ying Wu (ECCV 2018) | ||
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network | - Muhammed Kocabas, Salih Karagoz, Emre Akbas (ECCV 2018) | ||
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose | - Osokin, D. (Arxiv 2018) | ||
Rethinking on Multi-Stage Networks for Human Pose Estimation | Wenbo Li, Zhicheng Wang, Binyi Yin, Qixiang Peng, Yuming Du, Tianzi Xiao, Gang Yu,Hongtao Lu, Yichen Wei, and Jian Sun (Arxiv 2018) | ||
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark | - Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, Cewu Lu (CVPR 2019) | ||
Deep High-Resolution Representation Learning for Human Pose Estimation | - - Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang (CVPR 2019) | ||
Human Pose Estimation with Spatial Contextual Information | Hong Zhang, Hao Ouyang, Shu Liu, Xiaojuan Qi, Xiaoyong Shen, Ruigang Yang, Jiaya Jia (Arxiv 2019) | ||
PoseFix: Model-agnostic General Human Pose Refinement Network | - Moon, Gyeongsik and Chang, Juyong and Lee, Kyoung Mu (CVPR 2019) | ||
Graphonomy: Universal Human Parsing via Graph Transfer Learning | - Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin (CVPR 2019) | ||
PifPaf: Composite Fields for Human Pose Estimation | - Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi (CVPR 2019) | ||
Person-in-WiFi: Fine-grained Person Perception using WiFi | Fei Wang, Sanping Zhou, Stanislav Panev, Jinsong Han, Dong Huang (arxiv 2019) | ||
Can WiFi Estimate Person Pose? | Fei Wang, Stanislav Panev, Ziyi Dai, Jinsong Han, Dong Huang (arxiv 2019) | ||
Learning to Learn Relation for Important People Detection in Still Images | - Wei-Hong Li, Fa-Ting Hong, Wei-Shi Zheng (CVPR 2019) | ||
Efficient Online Multi-Person 2D Pose Tracking with Recurrent Spatio-Temporal Affinity Fields | - Yaadhav Raaj, Haroon Idrees, Gines Hidalgo, Yaser Sheikh(CVPR 2019) | ||
Adaptive NMS: Refining Pedestrian Detection in a Crowd | Songtao Liu, Di Huang, Yunhong Wang (CVPR 2019) | ||
Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information | Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang (CVPR 2019) | ||
Fast Human Pose Estimation | - Feng Zhang, Xiatian Zhu, Mao Ye (CVPR 2019) | ||
Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues | Natalia Neverova, James Thewlis, Rıza Alp Güler, Iasonas Kokkinos, Andrea Vedaldi (CVPR 2019) | ||
Objects as Points | - Xingyi Zhou, Dequan Wang, Philipp Krähenbühl (arxiv 2019) | ||
Learning Individual Styles of Conversational Gesture | - Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik (CVPR 2019) | ||
Does Learning Specific Features for Related Parts Help Human Pose Estimation? | Wei Tang and Ying Wu (CVPR 2019) | ||
Visual Person Understanding through Multi-Task and Multi-Dataset Learning | Kilian Pfeiffer, et al (Arxiv 2019) | ||
Movement science needs different pose tracking algorithms | Nidhi Seethapathi, Shaofei Wang, Rachit Saluja, Gunnar Blohm, Konrad P. Kording (Arxiv 2019) | ||
Learning to Train with Synthetic Humans | David T. Hoffmann, Dimitrios Tzionas, Micheal J. Black, Siyu Tang (GCPR 2019) | ||
Falls Prediction Based on Body Keypoints and Seq2Seq Architecture | Minjie Hua, Yibing Nan, Shiguo Lian (Arxiv 2019) | ||
Cross-Domain Adaptation for Animal Pose Estimation | Jinkun Cao, Hongyang Tang, Hao-Shu Fang, Xiaoyong Shen, Cewu Lu, Yu-Wing Tai (ICCV 2019) | ||
Pose Neural Fabrics Search | - Sen Yang, Wankou Yang, Zhen Cui (Arxiv 2019) | ||
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty | Serim Ryou, Seong-Gyun Jeong, Pietro Perona (ICCV 2019) | ||
Single-Network Whole-Body Pose Estimation | - Gines Hidalgo, Yaadhav Raaj, Haroon Idrees, Donglai Xiang, Hanbyul Joo, Tomas Simon, Yaser Sheikh (ICCV 2019) | ||
The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation | Junjie Huang, Zheng Zhu, Feng Guo, Guan Huang (Arxiv 2019) | ||
DirectPose: Direct End-to-End Multi-Person Pose Estimation | Zhi Tian, Hao Chen, Chunhua Shen (Arxiv 2019) | ||
The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation | Junjie Huang, Zheng Zhu, Feng Guo, Guan Huang (ICCV 2019) | ||
TRB: A Novel Triplet Representation for Understanding 2D Human Body | - Haodong Duan, KwanYee Lin, Sheng Jin, Wentao Liu, Chen Qian, Wanli Ouyang (ICCV 2019) | ||
Simple and Lightweight Human Pose Estimation | Zhe Zhang, Jie Tang, Gangshan Wu (Arxiv 2019) | ||
Mixture Dense Regression for Object Detection and Human Pose Estimation | Ali Varamesh, Tinne Tuytelaars (Arxiv 2019) | ||
15 Keypoints Is All You Need | Michael Snower, Asim Kadav, Farley Lai, Hans Peter Graf (Arxiv 2019) | ||
Learning Temporal Pose Estimation from Sparsely Labeled Videos | - Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani (NIPS 2019) | ||
Correlated Uncertainty for Learning DenseCorrespondences from Noisy Labels | Natalia Neverova, David Novotny, Andrea Vedaldi (NIPS 2019) | ||
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation | - Jia Li, Wen Su, Zengfu Wang (AAAI2020) | ||
An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians | Sudip Das, Perla Sai Raj Kishore, Ujjwal Bhattacharya (Arxiv 2020) | ||
Transferring Dense Pose to Proximal Animal Classes | - Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova (CVPR 2020) | ||
Peeking into occluded joints: A novel framework for crowd pose estimation | ingteng Qiu, Xuanye Zhang, Yanran Li, Guanbin Li, Xiaojun Wu, Zixiang Xiong, Xiaoguang Han, Shuguang Cui (Arxiv 2020) | ||
Motion-supervised Co-Part Segmentation | Aliaksandr Siarohin*, Subhankar Roy*, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe (Arxiv 2020) | ||
Detailed 2D-3D Joint Representation for Human-Object Interaction | - Yong-Lu Li, Xinpeng Liu, Han Lu, Shiyi Wang, Junqi Liu, Jiefeng Li, Cewu Lu (CVPR 2020) | ||
Distribution Aware Coordinate Representation for Human Pose Estimation | - Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, Ce Zhu (CVPR 2020) | ||
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses | - Manisha Verma, Sudhakar Kumawat, Yuta Nakashima, Shanmuganathan Raman (CVPRW 2020) | ||
Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos | Rafi Umer, Andreas Doering, Bastian Leibe, Juergen Gall (Arxiv 2020) | ||
Making DensePose fast and light | (Arxiv 2020) | ||
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation | Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo (ECCV 2020) | ||
Whole-Body Human Pose Estimation in the Wild | - Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo (ECCV 2020) | ||
Awesome Human Pose Estimation / Papers / 3D Pose estimation | |||
Reconstruction of Articulated Objects from Point Correspondences in a Single Uncalibrated Image | CJ Taylor. (CVIU 2000) | ||
Covariance-Scaled Sampling for Monocular 3D Body Tracking | Cristian Sminchisescu and Bill Triggs. (CVPR 2001) | ||
Improving the Scope of Deformable Model Shape and Motion Estimation | C. Sminchisescu and D. Metaxas and S. Dickinson. (CVPR 2001) | ||
Recovering 3D Human Posefrom Monocular Images | Ankur Agarwal and Bill Triggs. (PAMI 2006) | ||
3D Human Pose Estimation from Monocular Images with Deep Convolutional Neural Network | Li, S., & Chan, A.B. (ACCV 2014) | ||
3D Pictorial Structures for Multiple Human Pose Estimation | Vasileios Belagiannis , Sikandar Amin, Mykhaylo Andriluka,Bernt Schiele, Nassir Navab, and Slobodan Ilic (CVPR 2014) | ||
3D Human pose estimation: A review of the literature and analysis of covariates | (CVIU 2016) | ||
Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video | - X. Zhou, M. Zhu, G. Pavlakos, S. Leonardos, K.G. Derpanis, K. Daniilidis. (CVPR 2016) | ||
Structured Prediction of 3D Human Pose with Deep Neural Networks | Tekin, B., Katircioglu, I., Salzmann, M., Lepetit, V., & Fua, P. (BMVC 2016) | ||
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera | - Mehta, Dushyant et al. (SIGGRAPH 2017) | ||
Recurrent 3D Pose Sequence Machines | Lin, M., Lin, L., Liang, X., Wang, K., & Cheng, H. (CVPR 2017) | ||
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image | Tomè, D., Russell, C., & Agapito, L. (CVPR 2017) | ||
3D Human Pose Estimation from a Single Image via Distance Matrix Regression | Francesc Moreno-Noguer. (CVPR 2017) | ||
3D Human Pose Estimation = 2D Pose Estimation + Matching | - Ching-Hang Chen, Deva Ramanan. (CVPR 2017) | ||
Coarse-to-Fine Volumetric Prediction for Single-Image 3D Human Pose | - Pavlakos, G., Zhou, X., Derpanis, K.G., & Daniilidis, K. (CVPR 2017) | ||
LCR-Net: Localization-Classification-Regression for Human Pose | - Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid. (CVPR 2017) | ||
Deep Learning on Lie Groups for Skeleton-based Action Recognition | 64 | over 3 years ago | - Zhiwu Huang, Chengde Wan, Thomas Probst, Luc Van Gool. (CVPR 2017) |
Seeing invisible poses: Estimating3d body pose from egocentric video. | Hao Jiang, Kristen Grauman. (CVPR 2017) | ||
Harvesting Multiple Views for Marker-less 3D Human Pose Annotations | - G. Pavlakos, X. Zhou, K. Derpanis, K. Daniilidis. (CVPR 2017) | ||
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach | - Zhou, X., Huang, Q., Sun, X., Xue, X., & Wei, Y. (ICCV 2017) | ||
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision | Hsiao-Yu Fish Tung. etal. (ICCV 2017) | ||
A Simple Yet Effective Baseline for 3d Human Pose Estimation | - Martinez, J., Hossain, R., Romero, J., & Little, J.J. (ICCV 2017) | ||
Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach | - X. Zhou, M. Zhu, S. Leonardos, K. Daniilidis. (PAMI 2017) | ||
Compositional Human Pose Regression | Sun, X., Shang, J., Liang, S., & Wei, Y. (ICCV 2017) | ||
Monocular 3D Human Pose Estimation In The Wild Using Improved CNN Supervision | Mehta, D., Rhodin, H., Casas, D., Fua, P., Sotnychenko, O., Xu, W., & Theobalt, C. (3DV 2017) | ||
3D Human Pose Estimation in the Wild by Adversarial Learning | Yang, W., Ouyang, W., Wang, X., Ren, J.S., Li, H., & Wang, X. (CVPR 2018) | ||
Ordinal Depth Supervision for 3D Human Pose Estimation | - G. Pavlakos, X. Zhou, K. Daniilidis. (CVPR 2018) | ||
V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation From a Single Depth Map | - Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee. (CVPR 2018) | ||
DRPose3D: Depth Ranking in 3D Human Pose Estimation | Wang, M., Chen, X., Liu, W., Qian, C., Lin, L., & Ma, L. (IJCAI 2018) | ||
Human Motion Capture Using a Drone | X. Zhou, S. Liu, G. Pavlakos, V.J. Kumar, K. Daniilidis. (ICRA 2018) | ||
End-to-end Recovery of Human Shape and Pose | - Kanazawa, A., Black, M.J., Jacobs, D.W., & Malik, J. (CVPR 2018) | ||
Learning to Estimate 3D Human Pose and Shape from a Single Color Image | Pavlakos, G., Zhu, L., Zhou, X., & Daniilidis, K. (CVPR 2018) | ||
Monocular 3D Pose and Shape Estimation of Multiple People in Natural Scenes | Andrei Zanfir, Elisabeta Marinoiu, Cristian Sminchisescu. (CVPR 2018) | ||
Dense Human Pose Estimation In The Wild | - Guler, R.A., Neverova, N., & Kokkinos, I. (CVPR 2018) | ||
Learning Monocular 3D Human Pose Estimation from Multi-View Images | Helge Rhodin, Jörg Spörri, Isinsu Katircioglu, Victor Constantin, Frédéric Meyer, Erich Müller, Mathieu Salzmann, Pascal Fua. (CVPR 2018) | ||
3D Human Sensing, Action and Emotion Recognition inRobot Assisted Therapy of Children with Autism | Elisabeta Marinoiu, Mihai Zanfir, Vlad Olaru, Cristian Sminchisescu. (CVPR 2018) | ||
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation | - Omran, Mohamed and Lassner, Christoph and Pons-Moll, Gerard and Gehler, Peter V. and Schiele, Bernt (3DV 2018) | ||
Learning 3D Human Pose from Structure and Motion | Dabral, R., Mundhada, A., Kusupati, U., Afaque, S., Sharma, A., & Jain, A. (ECCV 2018) | ||
Unsupervised Learning of View-invariant Action Representations | Junnan Li.etal. (NIPS 2018) | ||
Deep Network for the Integrated 3D Sensing ofMultiple People in Natural Images | Andrei Zanfir.etal. (NIPS 2018) | ||
Integral Human Pose Regression | - Sun, X., Xiao, B., Liang, S., & Wei, Y. (ECCV 2018) | ||
Dense Pose Transfer | Neverova, N., Guler, R.A., & Kokkinos, I. (ECCV 2018) | ||
Deformable Pose Traversal Convolutionfor 3D Action and Gesture Recognition | Junwu Weng.et.al. (ECCV 2018) | ||
Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling | Matthew Trumble, Andrew Gilbert, Adrian Hilton, John Collomosse (ECCV 2018) | ||
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation | - Rhodin, H., Salzmann, M., & Fua, P. (ECCV 2018) | ||
Monocap: Monocular human motion capture using a CNN coupled with a geometric prior | - X. Zhou, M. Zhu, G. Pavlakos, S. Leonardos, K.G. Derpanis, K. Daniilidis. (TPAMI 2018) | ||
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB | - Mehta, Dushyant and Sotnychenko, Oleksandr and Mueller, Franziska and Xu, Weipeng and Sridhar, Srinath and Pons-Moll, Gerard and Theobalt, Christian (3DV 2018) | ||
HUMBI 1.0: HUman Multiview Behavioral Imaging Dataset | (Arxiv 2018) | ||
Explicit Pose Deformation Learning for Tracking Human Poses | Xiao Sun, Chuankang Li, Stephen Lin (Arxiv 2018) | ||
3D Human Pose Machines with Self-supervised Learning | - Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, and Pengxu Wei. (TPAMI 2019) | ||
3D Human Pose Estimation with 2D Marginal Heatmaps | - Aiden Nibali, Zhen He, Stuart Morgan, Luke Prendergast. (WACV 2019) | ||
Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views | - Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou. (CVPR 2019) | ||
Learning the Depths of Moving People by Watching Frozen People | Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman. (CVPR 2019) | ||
Monocular Total Capture: Posing Face, Body and Hands in the Wild | - Donglai Xiang, Hanbyul Joo, Yaser Sheikh (CVPR 2019) | ||
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation | Bastian Wandt, Bodo Rosenhahn (CVPR 2019) | ||
In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations | Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Gerard Pons-Moll, Christian Theobalt (CVPR 2019) | ||
Semantic Graph Convolutional Networks for 3D Human Pose Regression | - Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas (CVPR 2019) | ||
ON THE CONTINUITY OF ROTATION REPRESENTATIONS IN NEURAL NETWORKS | Yi Zhou*, Connelly Barnes*, Jingwan Lu, Jimei Yang, Hao Li (CVPR 2019) | ||
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry | - Muhammed Kocabas, Salih Karagoz, Emre Akbas, (CVPR 2019) | ||
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network | - Chen Li, Gim Hee Lee (CVPR 2019) | ||
Neural Scene Decomposition for Multi-Person Motion Capture | Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua (CVPR 2019) | ||
Weakly-Supervised Discovery of Geometry-Aware Representationfor 3D Human Pose Estimation | Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin (CVPR 2019) | ||
IGE-Net: Inverse Graphics Energy Networksfor Human Pose Estimation and Single-View Reconstruction | Dominic Jack etal (CVPR 2019) | ||
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking | - Saurabh Sharma, Pavan Teja Varigonda, Prashast Bindal, Abhishek Sharma, Arjun Jain (Arxiv 2019) | ||
Estimating 3D Motion and Forces of Person-Object Interactions from Monocular Video | Zongmian Li, Jiri Sedlar, Justin Carpentier, Ivan Laptev, Nicolas Mansard, Josef Sivic (Arxiv 2019) | ||
Context-aware Human Motion Prediction | Enric Corona, Albert Pumarola, Guillem Alenyà, Francesc Moreno (Arxiv 2019) | ||
Unsupervised 3D Pose Estimation with Geometric Self-Supervision | Ching-Hang Chen, Ambrish Tyagi, Amit Agrawal, Dylan Drover, Rohith MV, Stefan Stojanov, James M. Rehg (Arxiv 2019) | ||
Generalizing Monocular 3D Human Pose Estimation in the Wild | - Luyang Wang, Yan Chen, Zhenhua Guo, Keyuan Qian, Mude Lin, Hongsheng Li, Jimmy S. Ren (Arxiv 2019) | ||
Absolute Human Pose Estimation with Depth Prediction Network | Márton Véges, András Lőrincz (IJCNN 2019) | ||
You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions | - Evonne Ng, Donglai Xiang, Hanbyul Joo, Kristen Grauman (Arxiv 2019) | ||
Learnable Triangulation of Human Pose | - Karim Iskakov, Egor Burkov, Victor Lempitsky, Yury Malkov (ICCV 2019) | ||
Not All Parts Are Created Equal: 3D Pose Estimation by Modelling Bi-directional Dependencies of Body Parts | Jue Wang, Shaoli Huang, Xinchao Wang, Dacheng Tao (Arxiv 2019) | ||
MONET: Multiview Semi-supervised Keypoint via Epipolar Divergence | Yasamin Jafarian, Yuan Yao, Hyun Soo Park (Arxiv 2018) | ||
Feature Boosting Network For 3D Pose Estimation | Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot (TPAMI 2019) | ||
Ego-Pose Estimation and Forecasting as Real-Time PD Control | - Ye Yuan, Kris Kitani (ICCV 2019) | ||
Understanding Human Context in 3D Scenes by Learning Spatial Affordances with Virtual Skeleton Models | Lasitha Piyathilaka, Sarath Kodagoda (Arxiv 2019) | ||
XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera | - Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Mohamed Elgharib, Pascal Fua, Hans-Peter Seidel, Helge Rhodin, Gerard Pons-Moll, Christian Theobalt (Arxiv 2019) | ||
Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image | - - Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee (ICCV 2019) | ||
xR-EgoPose: Egocentric 3D Human Pose from an HMD Camera | - Denis Tome, Patrick Peluse, Lourdes Agapito, Hernan Badino (ICCV 2019) | ||
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras | Andrew Gilbert, Matthew Trumble, Adrian Hilton, John Collomosse (Arxiv 2019) | ||
Resolving 3D Human Pose Ambiguities with 3D Scene Constraints | - - Mohamed Hassan, Vasileios Choutas, Dimitrios Tzionas, Michael J. Black (ICCV 2019) | ||
Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning | Chaoyang Wang, Chen Kong, Simon Lucey (ICCV 2019) | ||
Single-Stage Multi-Person Pose Machines | Xuecheng Nie, Jianfeng Zhang, Shuicheng Yan, Jiashi Feng (ICCV 2019) | ||
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image | - Fu Xiong, Boshen Zhang, Yang Xiao, Zhiguo Cao, Taidong Yu, Joey Tianyi Zhou, Junsong Yuan (ICCV 2019) | ||
Cross View Fusion for 3D Human Pose Estimation | - Haibo Qiu, Chunyu Wang, Jingdong Wang, Naiyan Wang, Wenjun Zeng (ICCV 2019) | ||
Optimizing Network Structure for 3D Human Pose Estimation | Hai Ci, Chunyu Wang, Xiaoxuan Ma, Yizhou Wang, (ICCV 2019) | ||
Motion Capture from Pan-Tilt Cameras with Unknown Orientation | Roman Bachmann, Jörg Spörri, Pascal Fua, Helge Rhodin (3DV 2019) | ||
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion | David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi (ICCV 2019) | ||
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation | - Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi (ICCV 2019) | ||
Multi-Person 3D Human Pose Estimation from Monocular Images | Rishabh Dabral, Nitesh B Gundavarapu, Rahul Mitra, Abhishek Sharma, Ganesh Ramakrishnan, Arjun Jain (3DV 2019) | ||
Human Synthesis and Scene Compositing | Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Andrei Zanfir, Cristian Sminchisescu (Arxiv 2019) | ||
MocapNET: Ensemble of SNN Encoders for 3D Human Pose Estimation in RGB Images | - Qammaz, Ammar and Argyros, Antonis A (BMVC 2019) | ||
Adversarial Attack on Skeleton-based HumanAction Recognition | -Jian Liu, Naveed Akhtar, and Ajmal Mian, (Arxiv 2019) | ||
Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop | - Nikos Kolotouros, Georgios Pavlakos, Michael J. Black, Kostas Daniilidis (ICCV 2019) | ||
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare | Yuanlu Xu, Song-Chun Zhu, Tony Tung (ICCV 2019) | ||
Chirality Nets for Human Pose Regression | Raymond A. Yeh, Yuan-Ting Hu, Alexander G. Schwing (NIPS 2019) | ||
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching | Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao (Arxiv 2020) | ||
A Neural Network for Detailed Human Depth Estimation from a Single Image | Sicong Tang, Feitong Tan, Kelvin Cheng, Zhaoyang Li, Siyu Zhu, Ping Tan (ICCV 2019) | ||
HEMlets Pose: Learning Part-Centric Heatmap Triplets for Accurate 3D Human Pose Estimation | Kun Zhou, Xiaoguang Han, Nianjuan Jiang, Kui Jia, Jiangbo Lu (ICCV 2019) | ||
Convex Optimisation for Inverse Kinematics | Tarun Yenamandra, Florian Bernard, Jiayi Wang, Franziska Mueller, Christian Theobalt (Arxiv 2019) | ||
AbsPoseLifter: Absolute 3D Human Pose Lifting Network from a Single Noisy 2D Human Pose | Ju Yong Chang, Gyeongsik Moon, Kyoung Mu Lee (Arxiv 2019) | ||
SMART: Skeletal Motion Action Recognition aTtack | He Wang, Feixiang He, Zexi Peng, Yongliang Yang, Tianjia Shao, Kun Zhou, David Hogg (Arxiv 2019) | ||
Markerless Outdoor Human Motion Capture Using Multiple Autonomous Micro Aerial Vehicles | - Nitin Saini, Eric Price, Rahul Tallamraju, Raffi Enficiaud, Roman Ludwig, Igor Martinovic, Aamir Ahmad, Michael J. Black (ICCV 2019) | ||
Exploiting Spatial-temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks | Yujun Cai, etal (ICCV 2019) | ||
Occlusion-Aware Networks for 3D Human Pose Estimation in Video | Yu Cheng, Bo Yang, Bo Wang, Wending Yan, and Robby T. Tan (ICCV 2019) | ||
On Boosting Single-Frame 3D Human Pose Estimation via Monocular Videos | Zhi Li,Xuan Wang, Fei Wang, and Peilin Jiang(ICCV 2019) | ||
Monocular 3D Human Pose Estimation by Generation and Ordinal Ranking | - Saurabh Sharma, Pavan Teja Varigonda, Prashast Bindal, Abhishek Sharma, Arjun Jain (ICCV 2019) | ||
Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates | Diogo C Luvizon, Hedi Tabia, David Picard (Arxiv 2019) | ||
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image | Fuyang Huang, Ailing Zeng, Minhao Liu, Qiuxia Lai, Qiang Xu (WACV 2020) | ||
Generating 3D People in Scenes without People | Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J. Black, Siyu Tang (Arxiv 2019) | ||
Video Motion Capture from the Part Confidence Maps of Multi-Camera Images by Spatiotemporal Filtering Using the Human Skeletal Model | Takuya Ohashi, Yosuke Ikegami, Kazuki Yamamoto, Wataru Takano, Yoshihiko Nakamura (IROS 2018) | ||
Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction | |||
From Kinematics To Dynamics: Estimating Center of Pressure and Base of Support from Video Frames of Human Motion | |||
ActiveMoCap: Optimized Drone Flight for Active Human Motion Capture | Sena Kiciroglu, Helge Rhodin, Sudipta Sinha, Mathieu Salzmann, Pascal Fua (Arxiv 2019) | ||
Synergetic Reconstruction from 2D Pose and 3D Motion for Wide-Space Multi-Person Video Motion Capture in the Wild | - Takuya Ohashi, Yosuke Ikegami,Yoshihiko Nakamura (Arxiv 2020) | ||
Deep Reinforcement Learning for Active Human Pose Estimation | Erik Gärtner, Aleksis Pirinen, Cristian Sminchisescu (AAAI 2020) | ||
Deep NRSfM++: Towards 3D Reconstruction in the Wild | Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey (Arxiv 2020) | ||
Anatomy-aware 3D Human Pose Estimation in Videos | Tianlang Chen, Chen Fang, Xiaohui Shen, Yiheng Zhu, Zhili Chen, Jiebo Luo (Arxiv 2020) | ||
PoseNet3D: Unsupervised 3D Human Shape and Pose Estimation | Shashank Tripathi, Siddhant Ranade, Ambrish Tyagi, Amit Agrawal (Arxiv 2020) | ||
EllipBody: A Light-weight and Part-based Representation for Human Pose and Shape Recovery | Min Wang, Feng Qiu, Wentao Liu, Chen Qian, Xiaowei Zhou, Lizhuang Ma (CVPR 2020) | ||
Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild | Umar Iqbal, Pavlo Molchanov, Jan Kautz (CVPR 2020) | ||
Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach | Zhe Zhang, Chunyu Wang, Wenhu Qin, Wenjun Zeng (CVPR 2020) | ||
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation | Rongchang Xie, Chunyu Wang, Yizhou Wang (CVPR 2020) | ||
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation | Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris Kitani (CVPR 2020) | ||
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation | Matteo Fabbri, Fabio Lanzi, Simone Calderara, Stefano Alletto, Rita Cucchiara (CVPR 2020) | ||
Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data | - Henry M. Clever, Zackory Erickson, Ariel Kapusta, Greg Turk, C. Karen Liu, Charles C. Kemp (CVPR 2020) | ||
Lightweight Multi-View 3D Pose Estimation through Camera-Disentangled Representation | Edoardo Remelli, Shangchen Han, Sina Honari, Pascal Fua, Robert Wang (CVPR 2020) | ||
Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision | - Marton Veges, Andras Lorincz (Arxiv 2020) | ||
Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation | Hanbyul Joo, Natalia Neverova, Andrea Vedaldi (Arxiv 2020) | ||
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis | Jogendra Nath Kundu, Siddharth Seth, Varun Jampani, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty (CVPR 2020) | ||
Multimodal and multiview distillation for real-time player detection on a football field | Anthony Cioppa, Adrien Deliège, Noor Ul Huda, Rikke Gade, Marc Van Droogenbroeck, Thomas B. Moeslund (CVPRW 2020) | ||
End-to-End Estimation of Multi-Person 3D Poses from Multiple Cameras | - Hanyue Tu, Chunyu Wang, Wenjun Zeng (Arxiv 2020) | ||
Motion Guided 3D Pose Estimation from Videos | Jingbo Wang, Sijie Yan, Yuanjun Xiong, Dahua Lin (Arxiv 2020) | ||
View Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors | Walid Bekhtaoui, Ruhan Sa, Brian Teixeira, Vivek Singh, Klaus Kirchberg, Yao-jen Chang, Ankur Kapoor (Arxiv 2020) | ||
MEBOW: Monocular Estimation of Body Orientation In the Wild | Chenyan Wu, et,al (CVPR 2020) | ||
Epipolar Transformers | - Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu (CVPR 2020) | ||
Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS | Long Chen, Haizhou Ai, Rui Chen, Zijie Zhuang, Shuang Liu (CVPR 2020) | ||
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation | Rahul Mitra, Nitesh B. Gundavarapu, Abhishek Sharma, Arjun Jain (CVPR 2020) | ||
Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction | - Ruixu Liu, Ju Shen, He Wang, Chen Chen, Sen-ching Cheung, Vijayan Asari (CVPR 2020) | ||
Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data | Shichao Li, Lei Ke, Kevin Pratama, Yu-Wing Tai, Chi-Keung Tang, Kwang-Ting Cheng (CVPR 2020) | ||
Deep Kinematics Analysis for Monocular 3D Human Pose Estimation | Jingwei Xu et al. (CVPR 2020) | ||
Three-dimensional Reconstruction of Human Interactions | - Mihai Fieraru et al. (CVPR 2020) | ||
Coherent Reconstruction of Multiple Humans from a Single Image | - Wen Jiang, Nikos Kolotouros, Georgios Pavlakos , Xiaowei Zhou, Kostas Daniilidis (CVPR 2020) | ||
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation | - Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris Kitani (CVPR 2020) | ||
Kinematic-Structure-Preserved Representation for Unsupervised 3D Human Pose Estimation | Jogendra Nath Kundu, Siddharth Seth, Rahul M V, Mugalodi Rakesh, R. Venkatesh Babu, Anirban Chakraborty (AAAI 2020) | ||
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation | Jianfeng Zhang, Xuecheng Nie, Jiashi Feng (Arxiv 2020) | ||
Geometric Pose Affordance: 3D Human Pose with Scene Constraints | - Zhe Wang, Liyan Chen, Shaurya Rathore, Daeyun Shin, Charless Fowlkes (Arxiv 2019) | ||
Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation | - Zhe Wang, Daeyun Shin, Charless C. Fowlkes (Arxiv 2020) | ||
Awesome Human Pose Estimation / Papers / Geometry | |||
Neural 3D Mesh Renderer | 1,147 | over 2 years ago | JKato, Hiroharu and Ushiku, Yoshitaka and Harada, Tatsuya (CVPR 2018) |
Learning Two-View Correspondences and Geometry Using Order-Aware Network | Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Lei Zhou, Tianwei Shen, Yurong Chen, Long Quan, Hongen Liao (ICCV 2019) | ||
UprightNet: Geometry-Aware Camera Orientation Estimation from Single Images | Wenqi Xian, Zhengqi Li, Matthew Fisher, Jonathan Eisenmann, Eli Shechtman, Noah Snavely (Arxiv 2019) | ||
Gravity as a Reference for Estimating a Person's Height from Video | Didier Bieler, Semih Günel, Pascal Fua, Helge Rhodin (ICCV 2019) | ||
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds | DYin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan (CoRL 2019) | ||
EGenerating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models | César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Naila Murray, Antonio Manuel López (IJCV 2019) | ||
Unsupervised High-Resolution Depth Learning From Videos With Dual Networks | Junsheng Zhou, Yuwang Wang, Kaihuai Qin, Wenjun Zeng (ICCV 2019) | ||
Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments | Junsheng Zhou, Yuwang Wang, Kaihuai Qin, Wenjun Zeng (ICCV 2019) | ||
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints | - Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, Yuke Zhu (Arxiv 2019) | ||
GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion | - Anh-Duc Nguyen, Seonghwa Choi, Woojae Kim, Sanghoon Lee (ICCV 2019) | ||
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs | - Yuan Liu, Zehong Shen, Zhixuan Lin, Sida Peng, Hujun Bao, Xiaowei Zhou (NIPS 2019) | ||
Conservative Wasserstein Training for Pose Estimation | Xiaofeng Liu, Yang Zou, Tong Che, Peng Ding, Ping Jia, Jane You, Kumar B.V.K (ICCV 2019) | ||
Tell Me What They're Holding: Weakly-supervised Object Detection with Transferable Knowledge from Human-object Interaction | Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak (AAAI 2020) | ||
Single-Stage 6D Object Pose Estimation | Yinlin Hu, Pascal Fua, Wei Wang, Mathieu Salzmann (Arxiv 2019) | ||
GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild | Alexander Grabner, Peter M. Roth, Vincent Lepetit (ICCV 2019) | ||
SANet: Scene Agnostic Network for Camera Localization | Luwei Yang etal (ICCV 2019) | ||
ViewSynth: Learning Local Features from Depth using View Synthesis | Jisan Mahmud, Peri Akiva, Rajat Vikram Singh, Spondon Kundu, Kuan-Chuan Peng, Jan-Michael Frahm (Arxiv 2019) | ||
KeyPose: Multi-view 3D Labeling and Keypoint Estimation for Transparent Objects | Xingyu Liu, Rico Jonschkowski, Anelia Angelova, Kurt Konolige (Arxiv 2019) | ||
3D Objectness Estimation via Bottom-up Regret Grouping | Zelin Ye, Yan Hao, Liang Xu, Rui Zhu, Cewu Lu (Arxiv 2019) | ||
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation | - Hongwei Yi, Zizhuang Wei, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai (Arxiv 2019) | ||
Neural Network Generalization: The impact of camera parameters | HZhenyi Liu, Trisha Lian, Joyce Farrell, Brian Wandell(Arxiv 2019) | ||
Geometric Capsule Autoencoders for 3D Point Clouds | Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov(Arxiv 2019) | ||
What You See is What You Get: Exploiting Visibility for 3D Object Detection | Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan(Arxiv 2019) | ||
Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints | Pengfei Li, Weichao Qiu, Michael Peven, Gregory D. Hager, Alan L. Yuille (Arxiv 2019) | ||
Quaternion Knowledge Graph Embeddings | - Shuai Zhang, Yi Tay, Lina Yao, Qi Liu (NIPS 2019) | ||
Quaternion Product Units for Deep Learning on 3D Rotation Groups | -Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu (arxiv 2019) | ||
Inferring Distributions Over Depth from a Single Image | -Gengshan Yang, Peiyun Hu, Deva Ramanan (IROS 2019) | ||
A Bayesian 3D Multi-view Multi-object Tracking Filter | -Jonah Ong, Ba Tuong Vo, Ba Ngu Vo, Du Yong Kim, Sven Nordholm (TPAMI 2020) | ||
Learning to Move with Affordance Maps | -William Qi, Ravi Teja Mullapudi, Saurabh Gupta, Deva Ramanan (ICLR 2020) | ||
Depth Estimation by Learning Triangulation and Densification of Sparse Points for Multi-view Stereo | -Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich (arxiv 2019) | ||
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision | - Niemeyer, Michael and Mescheder, Lars and Oechsle, Michael and Geiger, Andreas (CVPR 2020) | ||
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates | -Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker (arxiv 2020) | ||
Real-Time Camera Pose Estimation for Sports Fields | -Leonardo Citraro, Pablo Márquez-Neila, Stefano Savarè, Vivek Jayaram, Charles Dubout, Félix Renaut, Andrés Hasfura, Horesh Ben Shitrit, Pascal Fua (arxiv 2020) | ||
DO OPTIMIZATION METHODS IN DEEP LEARNING APPLICATIONS MATTER | -Buse Melis Ozyildirim, Mariam Kiran (arxiv 2020) | ||
Occlusion-Aware Depth Estimation with Adaptive Normal Constraints | -Xiaoxiao Long, Lingjie Liu, Christian Theobalt, Wenping Wang (arxiv 2020) | ||
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes | -Jonas Schult, Francis Engelmann, Theodora Kontogianni, Bastian Leibe (CVPR 2020) | ||
Robust Single Rotation Averaging | -Seong Hun Lee, Javier Civera (Arxiv 2020) | ||
Self-Supervised Scene De-occlusion | -Xiaohang Zhan, Xingang Pan, Bo Dai, Ziwei Liu, Dahua Lin, Chen Change Loy (CVPR 2020) | ||
RANSAC-Flow: generic two-stage image alignment | -Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry (Arxiv 2020) | ||
Deep Homography Estimation for Dynamic Scenes | -Hoang Le, Feng Liu, Shu Zhang, Aseem Agarwala (CVPR 2020) | ||
Self-Supervised Viewpoint Learning From Image Collections | -Siva Karthik Mustikovela, Varun Jampani, Shalini De Mello, Sifei Liu, Umar Iqbal, Carsten Rother, Jan Kautz (CVPR 2020) | ||
Where Does It End? -- Reasoning About Hidden Surfaces by Object Intersection Constraints | -Michael Strecke, Joerg Stueckler (CVPR 2020) | ||
Leveraging 2D Data to Learn Textured 3D Mesh Generation | -Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert (CVPR 2020) | ||
Image Co-skeletonization via Co-segmentation | -Koteswar Rao Jerripothula, Jianfei Cai, Jiangbo Lu, Junsong Yuan (Arxiv 2020) | ||
On the uncertainty of self-supervised monocular depth estimation | -Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia (CVPR 2020) | ||
Focus on defocus: bridging the synthetic to real domain gap for depth estimation | -Maxim Maximov, Kevin Galim, Laura Leal-Taixé (CVPR 2020) | ||
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End | -Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Mikael Persson (CVPR 2020) | ||
Accurate Estimation of Body Height From a Single Depth Image via a Four-Stage Developing Network | -Fukun Yin, Shizhe Zhou (CVPR 2020) | ||
Quaternion Capsule Networks | (Arxiv 2020) | ||
Awesome Human Pose Estimation / Papers / Group of people | |||
SOCIAL LSTM: HUMAN TRAJECTORY PREDICTION IN CROWDED SPACES. | Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, Silvio Savarese. (CVPR 2016) | ||
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction | Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, Ying Nian Wu (CVPR 2019) | ||
Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in A Triadic Interaction | Hanbyul Joo, Tomas Simon, Mina Cikara, Yaser Sheikh (CVPR 2019) | ||
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks | Vineet Kosaraju, Amir Sadeghian, Roberto Martín-Martín, Ian Reid, S. Hamid Rezatofighi, Silvio Savarese (Arxiv 2019) | ||
To React or not to React: End-to-End Visual Pose Forecasting for Personalized Avatar during Dyadic Conversations | Chaitanya Ahuja, Shugao Ma, Louis-Philippe Morency, Yaser Sheikh (Arxiv 2019) | ||
Awesome Human Pose Estimation / Papers / Person generation | |||
Activity Forecasting. | - Kris M. Kitani, Brian Ziebart, James D. Bagnell and Martial Hebert. (ECCV 2012) | ||
Action-Reaction: Forecasting the Dynamics of Human Interaction. | De-An Huang and Kris M. Kitani. (ECCV 2014) | ||
A deep learning framework for character motion synthesis and editing | (TOG 2016) | ||
Binge Watching: Scaling Affordance Learning from Sitcoms. | - Xiaolong Wang*, Rohit Girdhar*, and Abhinav Gupta. (CVPR 2017) | ||
Pose Guided Person Image Generation | - Ma, L., Jia, X., Sun, Q., Schiele, B., Tuytelaars, T., & Gool, L.V. (NIPS 2017) | ||
A Generative Model of People in Clothing | Lassner, C., Pons-Moll, G., & Gehler, P.V. (ICCV 2017) | ||
First-Person Activity Forecasting with Online Inverse Reinforcement Learning | Nicholas Rhinehart and Kris M. Kitani. (ICCV 2017) | ||
Synthesizing Images of Humans in Unseen Poses | - Guha Balakrishnan, Amy Zhao, Adrian V. Dalca, Fredo Durand, John Guttag. (CVPR 2018) | ||
A Variational U-Net for Conditional Appearance and Shape Generation | - Patrick Esser, Ekaterina Sutter, Björn Ommer. (CVPR 2018) | ||
Deformable GANs for Pose-based Human Image Generation | - Siarohin, A., Sangineto, E., Lathuilière, S., & Sebe, N. (CVPR 2018) | ||
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks | - Agrim Gupta, Justin Johnson, Fei-Fei Li, Silvio Savarese, Alexandre Alahi. (CVPR 2018) | ||
QuaterNet: A Quaternion-based Recurrent Model for Human Motion | - Dario Pavllo, David Grangier, and Michael Auli. (BMVC 2018) | ||
Dense Pose Transfer | Neverova, N., Guler, R.A., & Kokkinos, I. (ECCV 2018) | ||
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics | Xinchen Yan, Akash Rastogi, Ruben Villegas, Kalyan Sunkavalli, Eli Shechtman, Sunil Hadap, Ersin Yumer, Honglak Lee (ECCV 2018) | ||
Few-Shot Human Motion Prediction via Meta-Learning | Liang-Yan Gui, Yu-Xiong Wang, Deva Ramanan, and Jos ́e M. F. Moura (ECCV 2018) | ||
Unsupervised Learning of Object Landmarks through Conditional Image Generation | Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi (NIPS 2018) | ||
FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification | - Yixiao Ge.etal. (NIPS 2018) | ||
Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis | Haoye Dong.etal. (NIPS 2018) | ||
AUTO-CONDITIONED LSTM NETWORK FOR EXTENDED COMPLEX HUMAN MOTION SYNTHESIS | Yi Zhou*, Zimo Li*, Shuangjio Xiao, Chong He, Zeng Huang, Hao Li . (ICLR 2018) | ||
Everybody Dance Now | Caroline Chan, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros (Arxiv 2018) | ||
SiCloPe: Silhouette-Based Clothed People | (Arxiv 2019) | ||
Unpaired Pose Guided Human Image Generation | Xu Chen, Jie Song, Otmar Hilliges (Arxiv 2019) | ||
Peeking into the Future: Predicting Future Person Activities and Locations in Videos | Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei (Arxiv 2019) | ||
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments | - Xueting Li, SIfei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz (CVPR 2019) | ||
Dense Intrinsic Appearance Flow for Human Pose Transfer | - Yining Li, Chen Huang, Chen Change Loy (CVPR 2019) | ||
Vid2Game: Controllable Characters Extracted from Real-World Videos | Oran Gafni, Lior Wolf, Yaniv Taigman (Arxiv 2019) | ||
Textured Neural Avatars | - Aliaksandra Shysheya, et al (Arxiv 2019) | ||
Explicit Disentanglement of Appearance and Perspective in Generative Models | -Nicki S. Detlefsen,Søren Hauberg (Arxiv 2019) | ||
Learning Variations in Human Motion via Mix-and-Match Perturbation | -Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Lars Petersson, Stephen Gould, Amirhossein Habibian (Arxiv 2019) | ||
First Order Motion Model for Image Animation | -Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci and Nicu Sebe (NIPS 2019) | ||
Adversarial Synthesis of Human Pose from Text | -Yifei Zhang, Rania Briq, Julian Tanke, Juergen Gall (Arxiv 2020) | ||
Awesome Human Pose Estimation / Papers / 3D Human Mesh | |||
Video Based Reconstruction of 3D People Models | Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, Gerard Pons-Moll, (CVPR 2018) | ||
End-to-end Recovery of Human Shape and Pose | - Kanazawa, A., Black, M.J., Jacobs, D.W., & Malik, J. (CVPR 2018) | ||
Relighting Humans: Occlusion-Aware Inverse Rendering for Full-Body Human Images | - Yoshihiro Kanamori, Yuki Endo. (Siggraph 2018) | ||
BodyNet: Volumetric Inference of 3D Human Body Shapes | - Varol, G., Ceylan, D., Russell, B., Yang, J., Yumer, E., Laptev, I., & Schmid, C. (ECCV 2018) | ||
Learning to Reconstruct People in Clothing from a Single RGB Camera | Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll (Arxiv 2019) | ||
DeepHuman: 3D Human Reconstruction from a Single Image | Zerong Zheng, Tao Yu, Yixuan Wei, Qionghai Dai, Yebin Liu (Arxiv 2019) | ||
Learning 3D Human Dynamics from Video | - Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik (CVPR 2019) | ||
Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation | - Hao Zhu, Xinxin Zuo, Sen Wang, Xun Cao, Ruigang Yang (CVPR 2019) | ||
LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds | Chun-Liang Li, Tomas Simon, Jason Saragih, Barnabás Póczos, Yaser Sheikh (CVPR 2019) | ||
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction | - Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis (CVPR 2019) | ||
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image | - - - Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black (CVPR 2019) | ||
Volumetric Capture of Humans with a Single RGBD Camera viaSemi-Parametric Learning | Rohit Pandey et al. (CVPR 2019) | ||
DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image | - Pengfei Yao, Zheng Fang, Fan Wu, Yao Feng, Jiwei Li (Arxiv 2019) | ||
Towards 3D Human Shape Recovery Under Clothing | Xin Chen, Anqi Pang, Yu Zhu, Yuwei Li, Xi Luo, Ge Zhang, Peihao Wang, Yingliang Zhang, Shiying Li, Jingyi Yu (Arxiv 2019) | ||
3DPeople: Modeling the Geometry of Dressed Humans | - Albert Pumarola, Jordi Sanchez, Gary P. T. Choi, Alberto Sanfeliu, Francesc Moreno-Noguer (ICCV 2019) | ||
Long-Term Video Generation of Multiple FuturesUsing Human Poses | Naoya Fushishita, Antonio Tejero-de-Pablos, Yusuke Mukuta, Tatsuya Harada (Arxiv 2019) | ||
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization | Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, Hao Li (Arxiv 2019) | ||
Learning 3D Human Body Embedding | Boyi Jiang, Juyong Zhang, Jianfei Cai, Jianmin Zheng (Arxiv 2019) | ||
Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches | Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz (Arxiv 2019) | ||
Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video | Jian Liu, Naveed Akhtar, Ajmal Mian (Arxiv 2019) | ||
Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images | - Valentin Gabeur, Jean-Sebastien Franco, Xavier Martin, Cordelia Schmid, Gregory Rogez (ICCV 2019) | ||
Dressing 3D Humans using a Conditional Mesh-VAE-GAN | Qianli Ma, Siyu Tang, Sergi Pujades, Gerard Pons-Moll, Anurag Ranjan, Michael J. Black (Arxiv 2019) | ||
AMASS: Archive of Motion Capture as Surface Shapes | - - Mahmood, Naureen and Ghorbani, Nima and F. Troje, Nikolaus and Pons-Moll, Gerard and Black, Michael J. (ICCV 2019) | ||
Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation | Sun Yu, Ye Yun, Liu Wu, Gao Wenpeng, Fu YiLi, Mei Tao (ICCV 2019) | ||
Multi-Garment Net: Learning to Dress 3D People from Images | Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt, Gerard Pons-Moll (ICCV 2019) | ||
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild | - Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy (ICCV 2019) | ||
Shape-Aware Human Pose and Shape Reconstruction Using Multi-View Images | Junbang Liang, Ming C. Lin (ICCV 2019) | ||
Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks | Adam Pantanowitz, Emmanuel Cohen, Philippe Gradidge, Nigel Crowther, Vered Aharonson, Benjamin Rosman, David M Rubin (arxiv 2019) | ||
Video Interpolation and Prediction with Unsupervised Landmarks | Kevin J. Shih, Aysegul Dundar, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro (arxiv 2019) | ||
Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop | - Nikos Kolotouros, Georgios Pavlakos, Michael J. Black, Kostas Daniilidis (ICCV 2019) | ||
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare | Yuanlu Xu, Song-Chun Zhu, Tony Tung (ICCV 2019) | ||
Efficient Learning on Point Clouds with Basis Point Sets | 174 | 12 months ago | - Prokudin, Sergey and Lassner, Christoph and Romero, Javier (ICCV 2019) |
TexturePose: Supervising Human Mesh Estimation with Texture Consistency | - YGeorgios Pavlakos, Nikos Kolotouros, Kostas Daniilidis (ICCV 2019) | ||
Towards Robust RGB-D Human Mesh Recovery | Ren Li, Changjiang Cai, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Ziyan Wu (Arxiv 2019) | ||
CLOTH3D: Clothed 3D Humans | Hugo Bertiche, Meysam Madadi, Sergio Escalera(Arxiv 2019) | ||
Learning 3D Human Shape and Pose from Dense Body Parts | Hongwen Zhang Jie Cao Guo Lu Wanli Ouyang Zhenan Sun (Arxiv 2019) | ||
Learning from Synthetic Animals | Jiteng Mu, Weichao Qiu, Gregory Hager, Alan Yuille (Arxiv 2019) | ||
Dressing for Diverse Body Shapes | Wei-Lin Hsiao, Kristen Grauman (Arxiv 2019) | ||
Neural Human Video Rendering: Joint Learning of Dynamic Textures and Rendering-to-Video Translation | Lingjie Liu, Weipeng Xu, Marc Habermann, Michael Zollhoefer, Florian Bernard, Hyeongwoo Kim, Wenping Wang, Christian Theobalt(Arxiv 2020) | ||
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations | Nadine Rueegg, Christoph Lassner, Michael J. Black, Konrad Schindler (AAAI 2020) | ||
The Whole Is Greater Than the Sum of Its Nonrigid Parts | Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas Guibas, Ron Kimmel (Arxiv 2020) | ||
Particle Filter Based Monocular Human Tracking with a 3D Cardbox Model and a Novel Deterministic Resampling Strategy | Ziyuan Liu, Dongheui Lee, Wolfgang Sepp (Arxiv 2020) | ||
PeelNet: Textured 3D reconstruction of human body using single view RGB image | Sai Sagar Jinka, Rohan Chacko, Avinash Sharma, P. J. Narayanan (Arxiv 2020) | ||
VIBE: Video Inference for Human Body Pose and Shape Estimation | 2,897 | over 1 year ago | - Muhammed Kocabas, Nikos Athanasiou, Michael J. Black (CVPR 2020) |
Learning Nonparametric Human Mesh Reconstruction from a Single Image without Ground Truth Meshes | Kevin Lin, Lijuan Wang, Ying Jin, Zicheng Liu, Ming-Ting Sun (Arxiv 2020) | ||
Hierarchical Kinematic Human Mesh Recovery | Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Kosecka, Ziyan Wu (Arxiv 2020) | ||
Learning to Transfer Texture from Clothing Images to 3D Humans | Aymen Mir, Thiemo Alldieck, Gerard Pons-Moll (CVPR 2020) | ||
The Virtual Tailor: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style | - Chaitanya Patel, Zhouyingcheng Liao, Gerard Pons-Moll (CVPR 2020) | ||
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization | - Shunsuke Saito, Tomas Simon, Jason Saragih, Hanbyul Joo (CVPR 2020) | ||
SoftSMPL: Data-driven Modeling of Nonlinear Soft-tissue Dynamics for Parametric Humans | - Igor Santesteban, Elena Garces, Miguel A. Otaduy, Dan Casas (Eurographics 2020) | ||
Learning 3D Human Shape and Pose from Dense Body Parts | - Zhang, Hongwen and Cao, Jie and Lu, Guo and Ouyang, Wanli and Sun, Zhenan (Arxiv 2020) | ||
Robust 3D Self-portraits in Seconds | -Zhe Li, Tao Yu, Chuanyu Pan, Zerong Zheng, Yebin Liu (CVPR 2020) | ||
ARCH: Animatable Reconstruction of Clothed Humans | -Zeng Huang, Yuanlu Xu, Christoph Lassner, Hao Li, Tony Tung (CVPR 2020) | ||
MulayCap: Multi-layer Human Performance Capture Using A Monocular Video Camera | -Zhaoqi Su, Weilin Wan, Tao Yu, Lingjie Liu, Lu Fang, Wenping Wang, Yebin Liu (Arxiv 2020) | ||
TetraTSDF: 3D human reconstruction from a single image with a tetrahedral outer shell | -Hayato Onizuka, Zehra Hayirci, Diego Thomas, Akihiro Sugimoto, Hideaki Uchiyama, Rin-ichiro Taniguchi (Arxiv 2020) | ||
Self-Supervised Human Depth Estimation from Monocular Videos | -Feitong Tan, Hao Zhu, Zhaopeng Cui, Siyu Zhu, Marc Pollefeys, Ping Tan (CVPR 2020) | ||
Learning to Dress 3D People in Generative Clothing | -Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons-Moll, Siyu Tang, Michael J. Black (Arxiv 2020) | ||
IMPLICIT FUNCTIONS IN FEATURE SPACE FOR 3D SHAPE RECONSTRUCTION AND COMPLETION | -Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll (CVPR 2020) | ||
TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style | -Chaitanya Patel, Zhouyingcheng Liao, Gerard Pons-Moll (CVPR 2020) | ||
3D Human Mesh Regression With Dense Correspondence | -Wang Zeng, Wanli Ouyang, Ping Luo, Wentao Liu, Xiaogang Wang (CVPR 2020) | ||
Sequential 3D Human Pose and Shape Estimation From Point Clouds | -Kangkan Wang, Jin Xie, Guofeng Zhang, Lei Liu, Jian Yang (CVPR 2020) | ||
GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models | -Hongyi Xu, Eduard Gabriel Bazavan, Andrei Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu;(CVPR 2020) | ||
Object-Occluded Human Shape and Pose Estimation From a Single Color Image | -Tianshu Zhang, Buzhen Huang, Yangang Wang (CVPR 2020) | ||
Awesome Human Pose Estimation / Papers / Pose And Physics-Robotics | |||
Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter? | - Xue Bin Peng, Michiel van de Panne (Eurographics 2017) | ||
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills | - Xue Bin Peng, Pieter Abbeel, Sergey Levine, Michiel van de Panne (SIGGRAPH 2018) | ||
SFV: Reinforcement Learning of Physical Skills from Videos | - Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine (SIGGRAPH Asia 2018) | ||
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control | - Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng (Arxiv 2018) | ||
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos | - Laura Smith, Nikita Dhawan, Marvin Zhang, Pieter Abbeel, Sergey Levine (Arxiv 2019) | ||
pymanoid | 220 | 9 months ago | - |
Awesome Human Pose Estimation / Papers / Pose and Language-Speech-Reasoning-Semantics | |||
Your body language may shape who you are | (TED 2012) | ||
Generating Animated Videos of Human Activities from Natural Language Descriptions | Angela S. Lin, Lemeng Wu, Rodolfo Corona, Kevin Tai, Qixing Huang, Raymond J. Mooney (NIPS 2018) | ||
Neural Sign Language Translation | - Necati Cihan Camgoz and Simon Hadfield and Oscar Koller and Hermann Ney and Richard Bowden (CVPR 2018) | ||
Learning Individual Styles of Conversational Gesture | - Shiry Ginosar, Amir Bar, Gefen Kohavi, Caroline Chan, Andrew Owens, Jitendra Malik (CVPR 2019) | ||
HAKE: Human Activity Knowledge Engine | - Yong-Lu Li, Liang Xu, Xijie Huang, Xinpeng Liu, Ze Ma, Mingyang Chen, Shiyi Wang, Hao-Shu Fang, Cewu Lu (Arxiv 2019) | ||
Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches | Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz (Arxiv 2019) | ||
Language2Pose: Natural Language Grounded Pose Forecasting | Chaitanya Ahuja, Louis-Philippe Morency (Arxiv 2019) | ||
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison | Dongxu Li, Cristian Rodriguez Opazo, Xin Yu, Hongdong Li (WACV 2020) | ||
Motion Reasoning for Goal-Based Imitation Learning | De-An Huang, Yu-Wei Chao, Chris Paxton, Xinke Deng, Li Fei-Fei, Juan Carlos Niebles, Animesh Garg, Dieter Fox (Arxiv 2019) | ||
Dancing to Music | - Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz (NIPS 2019) | ||
Skeleton based Zero Shot Action Recognition in Joint Pose-Language Semantic Space | Bhavan Jasani, Afshaan Mazagonwalla (Arxiv 2019) | ||
Dressing for Diverse Body Shapes | Wei-Lin Hsiao, Kristen Grauman (Arxiv 2019) | ||
Music-oriented Dance Video Synthesis with Pose Perceptual Loss | Xuanchi Ren, Haoran Li, Zijian Huang, Qifeng Chen (Arxiv 2019) | ||
Music2Dance: Music-driven Dance Generation using WaveNet | Wenlin Zhuang, Congyi Wang, Siyu Xia, Jinxiang Chai, Yangang Wang (Arxiv 2020) | ||
Awesome Human Pose Estimation / Papers / Pose-and-Action | |||
RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition | Yi Zhang, Xinyue Wei, Weichao Qiu, Zihao Xiao, Gregory D. Hager, Alan Yuille. (Arxiv 2019) | ||
Simultaneous Implementation Features Extraction and Recognition Using C3DNetwork for WiFi-based Human Activity Recognition | Yafeng Liu et al. (Arxiv 2019) | ||
Action Recognition via Pose-Based Graph Convolutional Networks with Intermediate Dense Supervision | Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu (Arxiv 2019) | ||
Synthetic Humans for Action Recognition from Unseen Viewpoints | Gül Varol, Ivan Laptev, Cordelia Schmid, Andrew Zisserman (Arxiv 2019) | ||
Action Genome: Actions as Composition of Spatio-temporal Scene Graphs | Jingwei Ji, Ranjay Krishna, Li Fei-Fei, Juan Carlos Niebles (Arxiv 2019) | ||
Mimetics: Towards Understanding Human Actions Out of Context | Philippe Weinzaepfel, Grégory Rogez (Arxiv 2019) | ||
SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong | Steven Schwarcz, Peng Xu, David D'Ambrosio, Juhana Kangaspunta, Anelia Angelova, Huong Phan, Navdeep Jaitly (Arxiv 2019) | ||
Human Motion Anticipation with Symbolic Label | Julian Tanke, Andreas Weber, Juergen Gall (Arxiv 2019) | ||
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition | Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang (CVPR 2020) | ||
SSHFD: Single Shot Human Fall Detection with Occluded Joints Resilience | Umar Asif, Stefan Von Cavallar, Jianbin Tang, Stefan Harre (Arxiv 2020) | ||
Asynchronous Interaction Aggregation for Action Detection | Jiajun Tang, Jin Xia, Xinzhi Mu, Bo Pang, Cewu Lu (Arxiv 2020) | ||
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video | Yancheng Wang, Yang Xiao, Fu Xiong, Wenxiang Jiang, Zhiguo Cao, Joey Tianyi Zhou, Junsong Yuan (CVPR 2020) | ||
Awesome Human Pose Estimation / Papers / Video pose | |||
Nonrigid Structure from Motion in Trajectory Space | Ijaz Akhter, Yaser Sheikh, Sohaib Khan and Takeo Kanade. (NIPS 2008) | ||
Human Attributes from 3D Pose Tracking | Leonid Sigal, David J. Fleet, Nikolaus F. Troje, and Micha Livne. (ECCV 2010) | ||
Pose from Flow and Flow from Pose | Katerina Fragkiadaki, Han Hu and Jianbo Shi . (CVPR 2013) | ||
Recurrent Network Models for Human Dynamics | Katerina Fragkiadaki, Sergey Levine, Panna Felsen, Jitendra Malik . (ICCV 2015) | ||
Personalizing Human Video Pose Estimation | James Charles, Tomas Pfister, Derek Magee, David Hogg, Andrew Zisserman . (CVPR 2016) | ||
On human motion prediction using recurrent neural networks | Julieta Martinez, Michael J. Black, and Javier Romero. (CVPR 2017) | ||
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos | Jie Song, Limin Wang, Luc Van Gool, Otmar Hilliges. (CVPR 2017) | ||
Deep Multitask Architecture for Integrated 2D and 3D Human Sensing | - Alin-Ionut Popa and Mihai Zanfir and Cristian Sminchisescu. (CVPR 2017) | ||
Rpan: An end-to-end recurrent pose-attention network for action recognition in videos | Wenbin Du, Yali Wang, Yu Qiao. (ICCV 2017) | ||
Self-supervised Learning of Motion Capture | - Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki. (NIPS 2017) | ||
Detect-and-Track: Efficient Pose Estimation in Videos, | - Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri and Du Tran. (CVPR 2018) | ||
Neural Kinematic Networks for Unsupervised Motion Retargeting, | - Ruben Villegas, Jimei Yang, Duygu Ceylan, Honglak Lee. (CVPR 2018) | ||
2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning | - Diogo C. Luvizon, David Picard, Hedi Tabia. (CVPR 2018) | ||
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition, | - Sijie Yan, Yuanjun Xiong, and Dahua Lin. (AAAI 2018) | ||
QuaterNet: A Quaternion-based Recurrent Model for Human Motion | - Dario Pavllo, David Grangier, and Michael Auli. (BMVC 2018) | ||
Simple Baselines for Human Pose Estimation and Tracking | - Bin Xiao, Haiping Wu, Yichen Wei. (ECCV 2018) | ||
Exploiting temporal information for 3D pose estimation | Mir Rayat Imtiaz Hossain, James J. Little (ECCV 2018) | ||
Learning 3D Human Pose from Structure and Motion | Dabral, R., Mundhada, A., Kusupati, U., Afaque, S., Sharma, A., & Jain, A. (ECCV 2018) | ||
Propagating LSTM: 3D Pose Estimation based on Joint Interdependency | Kyoungoh Lee, Inwoong Lee, and Sanghoon Lee. (ECCV 2018) | ||
Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera | Timo von Marcard, Roberto Henschel, Michael J. Black, Bodo Rosenhahn,and Gerard Pons-Moll (ECCV 2018) | ||
Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World | - - Matteo Fabbri, Fabio Lanzi, Simone Calderara, Andrea Palazzi, Roberto Vezzani, and Rita Cucchiara (ECCV 2018) | ||
SFV: Reinforcement Learning of Physical Skills from Videos | Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, Sergey Levine. (ACM SIGGRAPH Asia 2018) | ||
3D human pose estimation in video with temporal convolutions and semi-supervised training | Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli. (Arxiv 2018) | ||
Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies | - Xiao Guo, Jongmoo Choi. (AAAI 2019) | ||
BiHMP-GAN: Bidirectional 3D Human Motion Prediction GAN | Jogendra Nath Kundu, Maharshi Gor, R. Venkatesh Babu. (AAAI 2019) | ||
Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction | Xiao Guo, Jongmoo Choi. (Arxiv 2019) | ||
Multi-person Articulated Tracking with Spatial and Temporal Embeddings | Sheng Jin, Wentao Liu, Wanli Ouyang, Chen Qian (CVPR 2019) | ||
Learning Character-Agnostic Motion for Motion Retargeting in 2D | - Kfir Aberman, Rundi Wu, Dani Lischinski, Baoquan Chen, Daniel Cohen-Or. (SIGGRAPH 2019) | ||
Exploiting temporal context for 3D human pose estimation in the wild | Anurag Arnab, Carl Doersch, Andrew Zisserman. (CVPR 2019) | ||
Learning Temporal Pose Estimation from Sparsely-Labeled Videos | Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani. (NIPS 2019) | ||
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping | - Suhas Lohit, Qiao Wang, Pavan Turaga. (CVPR 2019) | ||
Unsupervised Learning of Object Structure and Dynamics from Videos | Matthias Minderer, Chen Sun, Ruben Villegas, Forrester Cole, Kevin Murphy, Honglak Lee (Arxiv 2019) | ||
VRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction | Hongsong Wang, Jiashi Feng (Arxiv 2019) | ||
Delving into 3D Action Anticipation from Streaming Videos | Hongsong Wang, Jiashi Feng (Arxiv 2019) | ||
Sim2real transfer learning for 3D pose estimation: motion to the rescue | Carl Doersch, Andrew Zisserman (Arxiv 2019) | ||
A-MAL: Automatic Motion Assessment Learning from Properly Performed Motions in 3D Skeleton Videos | Tal Hakim, Ilan Shimshoni (Arxiv 2019) | ||
Learning Trajectory Dependencies for Human Motion Prediction | - Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li (ICCV 2019) | ||
Dynamic Kernel Distillation for Efficient Pose Estimation in Videos | Xuecheng Nie, Yuncheng Li, Linjie Luo, Ning Zhang, Jiashi Feng (ICCV 2019) | ||
Imitation Learning for Human Pose Prediction | Borui Wang, Ehsan Adeli, Hsu-kuang Chiu, De-An Huang, Juan Carlos Niebles (ICCV 2019) | ||
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction | Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian (Arxiv 2019) | ||
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction | Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov (CoRL 2019) | ||
Structured Prediction Helps 3D Human Motion Modelling | - Emre Aksan, Manuel Kaufmann, Otmar Hilliges (ICCV 2019) | ||
Human Motion Prediction via Spatio-Temporal Inpainting | Alejandro Hernandez Ruiz, Juergen Gall, Francesc Moreno-Noguer (ICCV 2019) | ||
Imitation Learning for Human Pose Prediction | Borui Wang, Ehsan Adeli, Hsu-kuang Chiu, De-An Huang, Juan Carlos Niebles (ICCV 2019) | ||
Unsupervised learning of object structure and dynamics from videos | - Matthias Minderer*, Chen Sun, Ruben Villegas, Forrester Cole, Kevin Murphy, Honglak Lee (NIPS 2019) | ||
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction | Abduallah Mohamed, Kun Qian, Mohamed Elhoseiny, Christian Claudel (CVPR 2020) | ||
TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting | Yang, Zhuoqian and Zhu, Wentao and Wu, Wayne and Qian, Chen and Zhou, Qiang and Zhou, Bolei and Loy, Chen Change (CVPR 2020) | ||
TITAN: Future Forecast using Action Priors | Srikanth Malla, Behzad Dariush, Chiho Choi (CVPR 2020) | ||
Long-term Human Motion Prediction with Scene Context | Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik (Arxiv 2020) | ||
Human Motion Transfer from Poses in the Wild | Jian Ren, Menglei Chai, Sergey Tulyakov, Chen Fang, Xiaohui Shen, Jianchao Yang (Arxiv 2020) | ||
3D human pose estimation with adaptive receptive fields and dilated temporal convolutions | Michael Shin, Eduardo Castillo, Irene Font Peradejordi, Shobhna Jayaraman (Arxiv 2020) | ||
TPNet: Trajectory Proposal Network for Motion Prediction | Liangji Fang, Qinhong Jiang, Jianping Shi, Bolei Zhou (Arxiv 2020) | ||
Generative Tweening: Long-term Inbetweening of 3D Human Motions | Yi Zhou, Jingwan Lu, Connelly Barnes, Jimei Yang, Sitao Xiang, Hao li(Arxiv 2020) | ||
Skeleton-Aware Networks for Deep Motion Retargeting | - Kfir Aberman, Peizhuo Li, Dani Lischinski, Olga Sorkine-Hornung, Daniel Cohen-Or, Baoquan Chen (SIGGRAPH 2020) | ||
Unpaired Motion Style Transfer from Video to Animation | - Kfir Aberman, Yijia Weng, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen (SIGGRAPH 2020) | ||
Awesome Human Pose Estimation / Papers / Real-time pose estimation | |||
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields | - Cao, Z., Simon, T., Wei, S., & Sheikh, Y. (CVPR 2017) | ||
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera | - Mehta, Dushyant et al. (SIGGRAPH 2017) | ||
RMPE: Regional Multi-person Pose Estimation | - Fang, H., Xie, S., & Lu, C. (ICCV 2017) | ||
Dense Human Pose Estimation In The Wild | - Guler, R.A., Neverova, N., & Kokkinos, I. (CVPR 2018) | ||
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network | - Guler, R.A., Neverova, N., & Kokkinos, I. (ECCV 2018) | ||
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose | - Osokin, D. (Arxiv 2018) | ||
Awesome Human Pose Estimation / Papers / Real-time pose estimation / Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose | |||
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB | Extension to 3D pose estimation (based on - Mehta, D., et al.) - | ||
Awesome Human Pose Estimation / Papers / Real-time pose estimation | |||
Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning | Dong-Hyun Hwang, Suntae Kim, Nicolas Monet, Hideki Koike, Soonmin Bae (Arxiv 2020) | ||
Awesome Human Pose Estimation / Papers / Hand-Face-landmark | |||
Hand PointNet: 3D Hand Pose Estimation Using Point Sets | Liuhao Ge, Yujun Cai, Junwu Weng, Junsong Yuan (CVPR 2018) | ||
Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks | - Xuepeng Shi, Shiguang Shan, Meina Kan, Shuzhe Wu, Xilin Chen (CVPR 2018) | ||
Hand Pose Estimation via Latent 2.5D Heatmap Networks Regression | Umar Iqbal , Pavlo Molchanov, Thomas Breuel, Juergen Gall, Jan Kautz1 (ECCV 2018) | ||
H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions | Bugra Tekin, Federica Bogo, Marc Pollefeys (CVPR 2019) | ||
3D Hand Shape and Pose from Images in the Wild | Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr (Arxiv 2019) | ||
3D Dense Face Alignment via Graph Convolution Networks | Huawei Wei, Shuang Liang, Yichen Wei (Arxiv 2019) | ||
Disentangling Pose from Appearance in Monochrome Hand Images | Yikang Li, Chris Twigg, Yuting Ye, Lingling Tao, Xiaogang Wang (Arxiv 2019) | ||
Single Image 3D Hand Reconstruction with Mesh Convolutions | Dominik Kulon, Haoyang Wang, Riza Alp Güler, Michael Bronstein, Stefanos Zafeiriou (Arxiv 2019) | ||
Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps | Yahui Liu, Marco De Nadai, Gloria Zen, Nicu Sebe, Bruno Lepri (Arxiv 2019) | ||
FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images | - Christian Zimmermann, Duygu Ceylan, Jimei Yang, Bryan Russell, Max Argus, Thomas Brox (ICCV 2019) | ||
Early Estimation of User's Intention of Tele-Operation Using Object Affordance and Hand Motion in a Dual First-Person Vision | Motoki Kojima, Jun Miura (Arxiv 2019) | ||
aligning latent spaces for 3d hand pose estimation | Linlin Yang, Shile Li, Dongheui Lee, Angela Yao (ICCV 2019) | ||
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image | -Fu Xiong, Boshen Zhang, Yang Xiao, Zhiguo Cao, Taidong Yu, Joey Tianyi Zhou, Junsong Yuan (ICCV 2019) | ||
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison | 841 | over 1 year ago | -Dongxu Li and Cristian Rodriguez Opazo and Xin Yu and Hongdong Li (arxiv 2019) |
Deformation-aware Unpaired Image Translation for Pose Estimation on Laboratory Animals | -Siyuan Li, Semih Günel, Mirela Ostrek, Pavan Ramdya, Pascal Fua, Helge Rhodin (arxiv 2020) | ||
Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data | -Yuxiao Zhou, Marc Habermann, Weipeng Xu, Ikhsanul Habibie, Christian Theobalt, Feng Xu (CVPR 2020) | ||
Balanced Alignment for Face Recognition: A Joint Learning Approach | -Huawei Wei, Peng Lu, Yichen Wei (arxiv 2020) | ||
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction | (arxiv 2020) | ||
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map | -Jameel Malik, et,al (CVPR 2020) | ||
Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild | -Dominik Kulon, Riza Alp Güler, Iasonas Kokkinos, Michael Bronstein, Stefanos Zafeiriou (CVPR 2020) | ||
Two-hand Global 3D Pose Estimation Using Monocular RGB | -Fanqing Lin, Connor Wilhelm, Tony Martinez (arxiv 2020) | ||
Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction | -Hasson, Yana and Tekin, Bugra and Bogo, Federica and Laptev, Ivan and Pollefeys, Marc and Schmid, Cordelia (CVPR 2020) | ||
GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes | -Enric Corona, Albert Pumarola, Guillem Alenya, Francesc Moreno-Noguer, Gregory Rogez (CVPR 2020) | ||
Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects | -Seungryul Baek, Kwang In Kim, Tae-Kyun Kim (CVPR 2020) | ||
JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image | (ECCV 2020) | ||
Awesome Human Pose Estimation / Datasets / 2D | |||
MPII Human Pose Dataset | |||
MPII-TRB Dataset | 42 | over 4 years ago | |
COCO-WholeBody Dataset | 762 | about 1 year ago | |
LSP | |||
FLIC | |||
FLIC-plus | |||
Awesome Human Pose Estimation / Datasets / 3D | |||
Human3.6M | |||
HumanEva | |||
MPI-INF-3DHP | |||
Unite The People | |||
3DPW | |||
SMIL | 884 | over 2 years ago | |
GeometricPoseAffordance | |||
Awesome Human Pose Estimation / Datasets / Meshes | |||
Surreal | 588 | over 3 years ago | |
Awesome Human Pose Estimation / Benchmarks / 2D | |||
MPII | |||
COCO | |||
Awesome Human Pose Estimation / Benchmarks / 3D | |||
Human3.6M | |||
Human3.6M2 | |||
MuPoTS-3D | |||
MuPoTS-3D2 | |||
GPA(Geometric Pose Affordance dataset) | |||
Awesome Human Pose Estimation / Workshops | |||
POSETRACK-ECCV | |||
3D HUMANS-CVPR 2018 | |||
3D HUMANS-CVPR 2019 | |||
Awesome Human Pose Estimation / Blog posts | |||
Real-time Human Pose Estimation in the Browser with TensorFlow.js | |||
Deep learning for human pose estimation | |||
Deep Learning based Human Pose Estimation using OpenCV ( C++ / Python ) | |||
A 2019 guide to Human Pose Estimation with Deep Learning | |||
Direct 3d Human Pose and Shape Estimation | |||
Awesome Human Pose Estimation / Popular implementations / PyTorch | |||
MMPose | 5,846 | 4 months ago | |
openpifpaf | 81 | 8 months ago | |
pytorch-pose-hg-3d | 613 | over 1 year ago | |
pytorch_Realtime_Multi-Person_Pose_Estimation | 1,365 | almost 2 years ago | |
AlphaPose | 8,037 | 6 months ago | |
pytorch-pose | 1,105 | almost 3 years ago | |
human-pose-estimation.pytorch | 2,953 | almost 2 years ago | |
coco-analyze,with Miss/Jitter/Swap/Inversion | 233 | 8 months ago | |
Awesome Human Pose Estimation / Popular implementations / TensorFlow | |||
tf-pose-estimation | |||
pose-tensorflow | 1,138 | almost 5 years ago | |
Awesome Human Pose Estimation / Popular implementations / Torch | |||
pose-hg-train | 574 | over 7 years ago | |
pose-hg-demo | 316 | about 7 years ago | |
Awesome Human Pose Estimation / Popular implementations / Others | |||
openpose | 31,256 | 4 months ago | |
DensePose | 6,975 | almost 2 years ago | |
ZedPose | 5 | almost 6 years ago |