Pinned Repositories
clash_for_windows_pkg
A Windows/macOS GUI based on Clash
ComputeStuff
MIT-licensed stand-alone CUDA utility functions.
cpd
C++ implementation of the Coherent Point Drift point set registration algorithm.
CUDA-PointPillars
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
DeepViewAgg
[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
di-fusion
[CVPR'21] [Jittor & Pytorch] DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors
eg3d
fast_gicp
A collection of GICP-based fast point cloud registration algorithms
Gaalop
Gaalop (Geometic Algebra Algorithms Optimizer) is a software to compile and optimize geometric algebra (GA) expressions into high-level programming language code. Geometric algebra expressions can be developed using the freely available CLUCalc software by Christian Perwass. Gaalop optimizes CLUCalc expressions and produces C++ (AMP), OpenCL, CUDA, CLUCalc or LaTeX output. The optimized code is free of geometric algebra operations and runs very efficiently on various platforms.
gDel3D
gDel3D is the fastest 3D Delaunay triangulation algorithm. It uses the GPU for massive parallelism.
guyuezuntinggithub's Repositories
guyuezuntinggithub/clash_for_windows_pkg
A Windows/macOS GUI based on Clash
guyuezuntinggithub/CUDA-PointPillars
A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.
guyuezuntinggithub/DeepViewAgg
[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
guyuezuntinggithub/di-fusion
[CVPR'21] [Jittor & Pytorch] DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors
guyuezuntinggithub/eg3d
guyuezuntinggithub/fast_gicp
A collection of GICP-based fast point cloud registration algorithms
guyuezuntinggithub/GEL
A library of geometry processing tools for computer graphics
guyuezuntinggithub/googletest
GoogleTest - Google Testing and Mocking Framework
guyuezuntinggithub/GraphicsSimulation
Resources for Physics based simulation in Computer Graphics 图形学中物理模拟的资源整理
guyuezuntinggithub/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
guyuezuntinggithub/kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
guyuezuntinggithub/keops
KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
guyuezuntinggithub/librealsense
Intel® RealSense™ SDK
guyuezuntinggithub/LLFF
Code release for Local Light Field Fusion at SIGGRAPH 2019
guyuezuntinggithub/mapmap_cpu
A high-performance general-purpose MRF MAP solver, heavily exploiting SIMD instructions.
guyuezuntinggithub/MeshLib
Mesh processing library
guyuezuntinggithub/mvs-texturing
Algorithm to texture 3D reconstructions from multi-view stereo images
guyuezuntinggithub/nerf
Code release for NeRF (Neural Radiance Fields)
guyuezuntinggithub/nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
guyuezuntinggithub/NeuS
Code release for NeuS
guyuezuntinggithub/oneTBB
oneAPI Threading Building Blocks (oneTBB)
guyuezuntinggithub/Open3D
Open3D: A Modern Library for 3D Data Processing
guyuezuntinggithub/openMVS
open Multi-View Stereo reconstruction library
guyuezuntinggithub/patchwork-plusplus
Patchwork++: Fast and robust ground segmentation method for 3D point cloud. @ IROS'22
guyuezuntinggithub/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
guyuezuntinggithub/reconstruction_reserch
delaunay-poisson-marchingcubes-ballpivotingalgrithm
guyuezuntinggithub/redwood_open3d_3dreconstruction
An example project using Open3d for 3d reconstruction with RGB-D images
guyuezuntinggithub/shapmagn
shape registration
guyuezuntinggithub/torch-ngp
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
guyuezuntinggithub/voxblox
A library for flexible voxel-based mapping, mainly focusing on truncated and Euclidean signed distance fields.