Stars
[Siggraph Asia 2013] Large-Scale, Real-Time 3D Reconstruction
Code for integrating, raytracing, and meshing a TSDF on the CPU
Fuse multiple depth frames into a TSDF voxel volume.
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 2days)
A curated list of tutorials, papers, software related to multi-view stereo.
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/
A curated list of awesome 3d generation papers
A collection of papers on diffusion models for 3D generation.
For an education purpose, from-scratch, single-file, python-only pose-graph optimization implementation
A curated list of resources relevant to LiDAR-Visual-Fusion-SLAM
This repository contains demos I made with the Transformers library by HuggingFace.
🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites
A curated list of awesome computer vision resources
A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.