ymclsh

ymclsh's Stars

• NVlabs/CF-3DGS

  Language:Python39643

• zju3dv/DetectorFreeSfM

  Code for "Detector-Free Structure from Motion", CVPR 2024

  Language:Python60738

• cvg/NoPoSplat

  No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

  Language:Python49416

• ethanhe42/epipolar-transformers

  Epipolar Transformers (best paper award, CVPR 2020 workshop)

  Language:Jupyter Notebook41637

• cvg/LightGlue

  LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

  Language:Python3.4k336

• murcherful/UGAAN

  This repository contains PyTorch implementation for Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network (NeurIPS 2022).

  Language:Python8

• ZhanxyR/SHERT

  [CVPR'24 Oral] Official Pytorch implementation for Semantic Human Mesh Reconstruction with Textures.

  Language:Python755

• lpiccinelli-eth/UniDepth

  Universal Monocular Metric Depth Estimation

  Language:Python62753

• donydchen/mvsplat

  🌊 [ECCV'24 Oral] MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

  Language:Python84540

• dcharatan/pixelsplat

  [CVPR 2024 Oral, Best Paper Runner-Up] Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, and Vincent Sitzmann

  Language:Python90662

• cvlab-kaist/PF3plat

  Official Implementation of "PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting"

  Language:Python1415

• cgtuebingen/SSS-GS

  Subsurface Scattering for Gaussian Splatting

  1143

• hanl2010/Binocular3DGS

  Language:Python36

• HLinChen/VCR-GauS

  [NeurIPS 2024] VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

  Language:Python1234

• hiroxzwang/adrgaussian

  [SIGGRAPH ASIA 2024] Official implementation of the paper "AdR-Gaussian: Accelerating Gaussian Splatting with Adaptive Radius"

  Language:Python444

• cvg/depthsplat

  DepthSplat: Connecting Gaussian Splatting and Depth

  Language:Python55523

• ziweny11/PhotoRegCodes

  Code release for PhotoReg

  Language:Python381

• city-super/Octree-AnyGS

  Octree-GS

  Language:Python663

• yangjiheng/3DGS_and_Beyond_Docs

  This is a collective repository for all 3DGS related progresses in research and industry world

  42319

• graphdeco-inria/gaussian-splatting

  Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

  Language:Python14.7k1.9k

• SY-007-Research/3dgs_render_python

  Language:Python26323

• shidenggui/easyquotation

  实时获取新浪 / 腾讯 的免费股票行情 / 集思路的分级基金行情

  Language:Python4.3k1.4k

• ming053l/DRCT

  Accepted by New Trends in Image Restoration and Enhancement workshop (NTIRE), in conjunction with CVPR 2024.

  Language:Jupyter Notebook19316

• fabiopoiesi/dip

  Project page of the paper "Distinctive 3D local deep descriptors" accepted in IEEE International Conference on Pattern Recognition 2020.

  Language:Python654

• erikwijmans/Pointnet2_PyTorch

  PyTorch implementation of Pointnet2/Pointnet++

  Language:Python1.5k346

• charlesq34/pointnet2

  PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

  Language:Python3.2k902

• yxzhang15/PCR

  563

• chrischoy/FCGF

  Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

  Language:Python647112

• vinits5/learning3d

  This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

  Language:Python726103

• fabiopoiesi/gedi

  Project page of the paper "Learning general and distinctive 3D local deep descriptors for point cloud registration" published in IEEE T-PAMI

  Language:Python13111