Shhfdsdf

Shhfdsdf's Stars

• NVlabs/instant-ngp

  Instant neural graphics primitives: lightning fast NeRF and more

  Language:Cuda16.2k2031k1.9k

• graphdeco-inria/gaussian-splatting

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

  Language:Python15.3k1201.1k2k

• linhandev/dataset

  医学影像数据集列表 『An Index for Medical Imaging Datasets』

  2.8k2258384

• Anttwo/SuGaR

  [CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

  Language:C++2.4k63229191

• hbb1/2d-gaussian-splatting

  [SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields

  Language:Python2.2k31179160

• GAP-LAB-CUHK-SZ/gaustudio

  A Modular Framework for 3D Gaussian Splatting and Beyond

  Language:Jupyter Notebook1.3k494772

• zju3dv/street_gaussians

  [ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

  Language:Python947707558

• city-super/Scaffold-GS

  [CVPR 2024 Highlight] Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

  Language:C++844199175

• autonomousvision/gaussian-opacity-fields

  [SIGGRAPH Asia'24 & TOG] Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

  Language:Python815299146

• city-super/Octree-GS

  Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians

  Language:C++604266441

• zju3dv/PGSR

  [TVCG2024] PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction

  Language:Python574276938

• BaowenZ/RaDe-GS

  RaDe-GS: Rasterizing Depth in Gaussian Splatting

  Language:C++511356631

• kangpeilun/VastGaussian

  This is an unofficial Implementation

  Language:C++38094327

• zhaofuq/LOD-3DGS

  LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian(Published in SIGGRAPH Asia 2024)

  Language:Python287102235

• drprojects/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"

  Language:Python228103725

• YuxueYang1204/TrimGS

  Trim 3D Gaussian Splatting for Accurate Geometry Representation

  Language:Python21511216

• douzujun/Deep-Learning-Coursera

  吴恩达深度学习课程课后编程作业

  Language:Jupyter Notebook1631073

• jzhangbs/DTUeval-python

  A fast python implementation of DTU MVS 2014 evaluation

  Language:Python1543718

• CAMMA-public/cholect45

  Laparoscopic video dataset for surgical action triplet recognition

  Language:Python38423

• yudhisteer/Assessing-NeRF-s-Efficacy-in-3D-Model-Reconstruction-A-Comparative-Analysis-with-Blender

  This project delves into NeRF basics, such as ray tracing, ray casting, and ray marching. It starts with a simple task of reconstructing a red sphere in 3D. Then, we create a custom 3D model in Blender and take images to reconstruct the model using NeRF built from scratch and train for 7 hours!

  Language:Python10213

• kim-jinuk/hash_mobilenerf

  Language:Python20

• KewalMishra/MobileNeRF

  Real-Time Neural Light Field on Mobile Devices

  Language:Python1