SfMLearner
by tinghuiz
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
AI summary
Depth Estimator Framework
A framework for unsupervised depth and ego-motion estimation from monocular videos using deep learning
- stars
- 2K
- forks
- 559
- watching
- 77
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Depth estimator
An implementation of self-supervised monocular depth estimation methods for real-time 3D reconstruction and ego-motion estimation
Video learning library
Pytorch implementation of unsupervised depth and ego-motion learning from video sequences
Head pose estimator
Provides software to estimate head pose from images and videos using deep learning techniques.
Pose Estimation
Real-time pose estimation for mobile devices using deep neural networks and optimized models.
Depth Estimator
This project develops software for depth estimation using defocus blur in images captured by automotive cameras.
Motion Estimator
A deep learning framework to estimate exposure trajectories from motion-blurred images and recover the original sharp image
Human Mobility Model
A PyTorch-based implementation of a predictive model for human mobility patterns using attention mechanisms and recurrent neural networks.
Inference optimizer
A deep learning method for optimizing convolutional neural networks by reducing computational cost while improving regularization and inference efficiency.
Motion Capture System
A deep learning framework for multi-view fusion network-based 3D human motion capture system
3D Vision Framework
A software framework for 3D vision and computer vision tasks using deep learning and 2D keypoints.
3D Pose Estimation
A MATLAB project that uses deep learning and stereo cameras to estimate 3D human pose from image data
Depth reconstructor
A Matlab implementation of a 3D reconstruction algorithm using structured light depth acquisition
Human tracking library
A computer vision library for detecting and tracking human presence in images and videos using convolutional neural networks.
tri-ml/ddad497
Depth Estimator Dataset
A collection of data and tools for training algorithms to estimate dense depth in urban environments.
Object segmentation
A fast and robust algorithm to segment 3D point clouds generated by Velodyne sensors into objects.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions SfMLearner.
