zhj296409022

zhj296409022's Stars

• Parskatt/DeDoDe

  [3DV 2024 Oral] DeDoDe 🎶 Detect, Don't Describe --- Describe, Don't Detect, for Local Feature Matching

  Language:Python39319

• dcharatan/flowmap

  [3DV 2025] Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann

  Language:Python90789

• maybeLx/MVSFormerPlusPlus

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

  Language:Python1917

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30.9k7.5k

• jiahao-shao1/ChronoDepth

  ChronoDepth: Learning Temporally Consistent Video Depth from Video Diffusion Priors

  Language:Python2076

• ashawkey/nerf2mesh

  [ICCV2023] Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement

  Language:Python92590

• NVIDIAGameWorks/kaolin

  A PyTorch Library for Accelerating 3D Deep Learning Research

  Language:Python4.6k564

• zju3dv/EfficientLoFTR

  Code for "Efficient LoFTR: Semi-Dense Local Feature Matching with Sparse-Like Speed", CVPR 2024

  Language:Jupyter Notebook66649

• autonomousvision/gaussian-opacity-fields

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

  Language:Python81246

• cvg/EMAP

  [CVPR'24] 3D Neural Edge Reconstruction

  Language:Python1678

• 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++2.4k192

• Alpha-VLLM/Lumina-T2X

  Lumina-T2X is a unified framework for Text to Any Modality Generation

  Language:Python2.1k88

• jasonyzhang/RayDiffusion

  Code for "Cameras as Rays"

  Language:Python54124

• DepthAnything/Depth-Anything-V2

  [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python4.3k370

• Tapall-AI/MeViS_Track_Solution_2024

  [CVPR 2024 Challenge] 1st Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation

  Language:Python271

• Parskatt/RoMa

  [CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.

  Language:Python66859

• magicleap/SuperGluePretrainedNetwork

  SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

  Language:Python3.4k681

• Chaphlagical/Deblur-GS

  [I3D 2024] Deblur-GS: 3D Gaussian Splatting from Camera Motion Blurred Images

  Language:Python36336

• baegwangbin/DSINE

  [CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

  Language:Jupyter Notebook74731

• nerfstudio-project/gsplat

  CUDA accelerated rasterization of gaussian splatting

  Language:Cuda2.4k316

• Surrey-UP-Lab/GS-LPM

  Localized Gaussian Point Management

  Language:Python602

• buaacyw/MeshAnything

  From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"

  Language:Python2.1k91

• justimyhxu/GRM

  Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation

  57535

• qubvel-org/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.9k1.7k

• pengHTYX/Era3D

  Language:Python56725

• TRI-ML/vidar

  Language:Python58569

• hbb1/2d-gaussian-splatting

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

  Language:Python2.2k157

• xiongzhu666/Sky-Segmentation-and-Post-processing

  Language:C++12823

• xuelunshen/gim

  GIM: Learning Generalizable Image Matcher From Internet Videos (ICLR 2024 Spotlight)

  Language:Python56826

• lpiccinelli-eth/UniDepth

  Universal Monocular Metric Depth Estimation

  Language:Python67655