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)
50 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 | 419 |
 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. | 222 |
 ericsujw/matterport3dlayoutannotation | Provides annotated 3D layout data for room reconstruction from a single 360° image | 63 |
 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. | 325 |
 cyang0515/noncuboidroom | A deep learning project that aims to reconstruct 3D room layouts from single RGB images | 103 |
 davidgillsjo/polygon-hgt | Automated polygon detection in RGB images for room layout estimation | 26 |
| 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 | 27 |
 tinghuiz/sfmlearner | A framework for unsupervised depth and ego-motion estimation from monocular videos using deep learning | 1,977 |
 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 | 825 |
 gap-lab-cuhk-sz/total3dunderstanding | An implementation of a 3D scene reconstruction method from a single image using computer vision and machine learning techniques | 424 |