Stars
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
[CVPR 2024 Highlight] XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
TriplaneGaussian: A new hybrid representation for single-view 3D reconstruction.
A unified framework for 3D content generation.
Instant neural graphics primitives: lightning fast NeRF and more
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendati…
Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.
Master programming by recreating your favorite technologies from scratch.
Pytorch framework for doing deep learning on point clouds.
[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors
Algorithm to texture 3D reconstructions from multi-view stereo images
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
C++ libraries and programs demonstrating mesh processing research published in ACM SIGGRAPH (1992-2003)
Google Drive Public File Downloader when Curl/Wget Fails
A curated list of resources on implicit neural representations.
A new shapenet rendering 2D image dataset that also contains deph map, normal map and albedo map.
Several simple examples for popular neural network toolkits calling custom CUDA operators.
Implementation of the Chamfer Distance as a module for pyTorch
Open3D: A Modern Library for 3D Data Processing
Python binding of SLAM graph optimization framework g2o
pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
Jrender is an efficient differentiable rendering library implemented in jittor.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)