wscstrive

wscstrive's Stars

• LiheYoung/Depth-Anything

  [CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

  Language:Python7.1k49218542

• yenchenlin/nerf-pytorch

  A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

  Language:Python5.5k521161.1k

• naver/dust3r

  DUSt3R: Geometric 3D Vision Made Easy

  Language:Python5.4k53163588

• hbb1/2d-gaussian-splatting

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

  Language:Python2.1k31163147

• yuweihao/MambaOut

  MambaOut: Do We Really Need Mamba for Vision?

  Language:Python2.1k824535

• Totoro97/NeuS

  Code release for NeuS

  Language:Python1.6k25133211

• MarkMoHR/Awesome-Image-Colorization

  :books: A collection of Deep Learning based Image Colorization and Video Colorization papers.

  1k4216105

• google/mipnerf

  Language:Python9051841110

• donydchen/mvsplat

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

  Language:Python863197643

• autonomousvision/gaussian-opacity-fields

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

  Language:Python771308145

• walsvid/Awesome-MVS

  Awesome list of multi-view stereo papers

  70734350

• apchenstu/mvsnerf

  [ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.

  Language:Python675179284

• lpiccinelli-eth/UniDepth

  Universal Monocular Metric Depth Estimation

  Language:Python647157052

• NJU-3DV/Relightable3DGaussian

  [ECCV2024] Relightable 3D Gaussian: Real-time Point Cloud Relighting with BRDF Decomposition and Ray Tracing

  Language:Python464184134

• TQTQliu/MVSGaussian

  [ECCV 2024] MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo

  Language:Python420217521

• duanyiqun/DiffusionDepth

  PyTorch Implementation of introducing diffusion approach to 3D depth perception ECCV 2024

  Language:Python31084217

• jzhangbs/Vis-MVSNet

  Visibility-aware Multi-view Stereo Network

  Language:Python249124127

• maybeLx/MVSFormerPlusPlus

  Codes of MVSFormer++: Revealing the Devil in Transformer’s Details for Multi-View Stereo (ICLR2024)

  Language:Python1789336

• scannetpp/scannetpp

  [ICCV 2023 Oral] ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes

  Language:Python16348112

• Wuuu3511/GoMVS

  [CVPR'24]🦿GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo

  Language:Python1237184

• VISION-SJTU/Lightning-NeRF

  [ICRA 2024] Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving

  Language:Python1074127

• sinoyou/nelf-pro

  repo for paper NeLF-Pro: Neural Light Field Probes

  Language:Python75342

• crp94/textile

  Official repository of "TexTile: A Differentiable Metric for Texture Tileability" [CVPR 2024]

  Language:Python42543

• Youngju-Na/UFORecon

  Official code of UFORecon (CVPR 2024)

  Language:Python39431

• TQTQliu/GeFu

  [CVPR 2024] Geometry-aware Reconstruction and Fusion-refined Rendering for Generalizable Neural Radiance Fields

  Language:Python26332

• wscstrive/CT-MVSNet

  [MMM‘24 Oral]CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer

  Language:Python11321

• Sion1/DVGS

  Language:Python8101

• wswql/DiffREE

  Conditional Diffusion Models

  Language:Python520

• Danielcns/awesome-IELTS

  IELTS materials

  2000

• wwzziheng/FGCVQA

  a new cross-modal Med-VQA framework to more effectively learn the representation of medical images.

  Language:Python1130