psmnet-layout
Layout estimator
A deep learning framework for estimating 3D room layouts from multi-view panoramas using stereo vision and fusion techniques.
3 stars
4 watching
0 forks
Language: Python
last commit: about 2 years ago Related projects:
Repository | Description | Stars |
---|---|---|
| A deep learning framework for estimating 3D room layouts from cubemaps of panoramic images using the Deep Manhattan Hough Transform. | 50 |
| An implementation of a 3D layout reconstruction algorithm from a single 360-degree image using PyTorch and machine learning techniques. | 222 |
| Estimates room layouts from indoor panoramic images by disentangling orthogonal planes and accounting for cross-scale distortion | 48 |
| A dataset and evaluation tool for benchmarking 3D room layout estimation from single views. | 33 |
| A deep learning implementation of a 3D room layout reconstruction method from a single RGB image | 419 |
| 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 |
| Provides annotated 3D layout data for room reconstruction from a single 360° image | 63 |
| An implementation of stereo 360 layout based on computer vision and machine learning techniques. | 13 |
| A deep learning project that aims to reconstruct 3D room layouts from single RGB images | 103 |
| A PyTorch implementation of a deep learning model for semantic image segmentation | 1,598 |
| A deep learning-based method to recognize floor plan elements | 288 |
| Provides algorithms for arranging complex network structures in a visually appealing manner | 275 |
| A deep learning framework implementing a specific network architecture for image localization tasks. | 537 |
| A PyTorch implementation of a deep learning model for 3D multi-person pose estimation from a single RGB image | 825 |
| Automated polygon detection in RGB images for room layout estimation | 26 |