DMH-Net
3D layout estimator
A deep learning framework for estimating 3D room layouts from cubemaps of panoramic images using the Deep Manhattan Hough Transform.
Code for 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform (ECCV 2022)
49 stars
3 watching
2 forks
Language: Python
last commit: over 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
zillow/psmnet-layout | A deep learning framework for estimating 3D room layouts from multi-view panoramas using stereo vision and fusion techniques. | 3 |
zhijieshen-bjtu/dopnet | Estimates room layouts from indoor panoramic images by disentangling orthogonal planes and accounting for cross-scale distortion | 48 |
zouchuhang/layoutnet | A deep learning implementation of a 3D room layout reconstruction method from a single RGB image | 418 |
vevenom/scannet-layout | A dataset and evaluation tool for benchmarking 3D room layout estimation from single views. | 33 |
zouchuhang/layoutnetv2 | An implementation of a 3D layout reconstruction algorithm from a single 360-degree image using PyTorch and machine learning techniques. | 221 |
ericsujw/matterport3dlayoutannotation | Provides annotated 3D layout data for room reconstruction from a single 360° image | 62 |
sunset1995/horizonnet | A PyTorch implementation of a deep learning model for learning room layouts from 360 photos and providing tools for layout analysis and data augmentation. | 324 |
cyang0515/noncuboidroom | A deep learning project that aims to reconstruct 3D room layouts from single RGB images | 102 |
davidgillsjo/polygon-hgt | Automated polygon detection in RGB images for room layout estimation | 25 |
sunset1995/hohonet | A PyTorch implementation of a 360-degree indoor depth estimation and room layout analysis system using latent horizontal features. | 108 |
3dv-casia/polyroom | A deep learning-based system designed to reconstruct floor plans from raw point cloud data | 26 |
tinghuiz/sfmlearner | An unsupervised learning framework for depth and ego-motion estimation from monocular videos | 1,967 |
idegelis/torch-points3d-siamesekpconv | A deep learning framework for 3D point cloud analysis, specifically for change detection and segmentation tasks. | 31 |
mks0601/3dmppe_posenet_release | A PyTorch implementation of a deep learning model for 3D multi-person pose estimation from a single RGB image | 821 |
gap-lab-cuhk-sz/total3dunderstanding | An implementation of a 3D scene reconstruction method from a single image using computer vision and machine learning techniques | 422 |