FRI-Net
Floor plan reconstructor
Reconstructs floor plans from 3D room data using an implicit representation of rooms
[ECCV 2024] FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation
13 stars
9 watching
0 forks
last commit: 8 months ago Related projects:
Repository | Description | Stars |
---|---|---|
| A deep learning-based system designed to reconstruct floor plans from raw point cloud data | 27 |
| A deep learning-based method to recognize floor plan elements | 288 |
| An implementation of a deep learning-based method for roughcast floorplan segmentation | 45 |
| A deep learning project that aims to reconstruct 3D room layouts from single RGB images | 103 |
| Reconstructs room layouts from indoor spherical panoramas | 2 |
| A deep learning implementation of a 3D room layout reconstruction method from a single RGB image | 419 |
| A floorplan image analysis project with a large-scale dataset and a neural network-based model for object detection and segmentation. | 310 |
| Provides annotated 3D layout data for room reconstruction from a single 360° image | 63 |
| Recovering 3D planes from images using machine learning | 96 |
| A tool for automatically reconstructing virtual function tables in C++ code for various architectures. | 1,290 |
| Estimates room layouts from indoor panoramic images by disentangling orthogonal planes and accounting for cross-scale distortion | 48 |
| 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 |
| A Matlab implementation of a 3D reconstruction algorithm using structured light depth acquisition | 70 |
| Research on an algorithm to learn how robots recover from damage in simulations and real-world environments | 10 |
| Reconstructs the internal state of a Mersenne Twister algorithm from partial output data | 71 |