PlaneRecTR
Plane recovery
A unified query learning approach to recover 3D planes from a single view image
PlaneRecTR: Unified Query Learning for 3D Plane Recovery from a Single View
24 stars
1 watching
1 forks
Language: Python
last commit: 3 months ago Related projects:
Repository | Description | Stars |
---|---|---|
fuy34/planerecover | This codebase recovers 3D planes from a single image using convolutional neural networks. | 96 |
yi-ming-qian/interplane | A framework for learning pairwise inter-plane relations to reconstruct piecewise planar surfaces from 3D scans. | 40 |
icetttb/planetr3d | An implementation of a deep learning-based method for 3D plane recovery from images. | 93 |
icetttb/nopesac | A deep learning-based method for reconstructing 3D scenes from sparse views of planes. | 65 |
resibots/chatzilygeroudis_2018_rte | Research on an algorithm to learn how robots recover from damage in simulations and real-world environments | 10 |
eryixie/planerecnet | An implementation of a deep learning model for instance segmentation and monocular depth estimation. | 79 |
zhou13/shapeunity | Develops a method to reconstruct 3D wireframe models from a single image using deep learning | 70 |
zhendongwang6/uformer | An implementation of a deep learning model for restoring images in various conditions | 811 |
hongwenzhang/pymaf | Reconstructs human 3D models from monocular images using a feedback loop to improve pose and shape estimation | 597 |
jshilong/gpt4roi | Training and deploying large language models on computer vision tasks using region-of-interest inputs | 512 |
xingyizhou/pytorch-pose-hg-3d | A PyTorch implementation of a 3D human pose estimation algorithm using weak supervision. | 613 |
golnazghiasi/lrr | Code and models for reconstructing and refining images in semantic segmentation using Laplacian Pyramid techniques. | 59 |
0beqz/three-billboard-reflection | A performance optimization technique for three.js plane reflections in 3D graphics rendering. | 112 |
snavely/bundler_sfm | Creates 3D reconstructions of camera and scene geometry from unordered image collections. | 1,549 |
qingyonghu/randla-net | A deep learning framework for efficient semantic segmentation of large-scale 3D point clouds | 1,321 |