DingLihe

DingLihe's Stars

• PKU-YuanGroup/Open-Sora-Plan

  This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

  Language:Python11.6k1523551k

• facebookresearch/segment-anything-2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook11.1k64259944

• gaomingqi/Track-Anything

  Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

  Language:Python6.5k62140480

• sczhou/ProPainter

  [ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting

  Language:Python5.7k5690667

• DepthAnything/Depth-Anything-V2

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

  Language:Python4k32190341

• colmap/glomap

  GLOMAP - Global Structured-from-Motion Revisited

  Language:C++1.5k259296

• naver/mast3r

  Grounding Image Matching in 3D with MASt3R

  Language:Python1.4k3175102

• TencentARC/MotionCtrl

  Official Code for MotionCtrl [SIGGRAPH 2024]

  Language:Python1.3k503571

• google-deepmind/tapnet

  Tracking Any Point (TAP)

  Language:Jupyter Notebook1.3k31122127

• graphdeco-inria/hierarchical-3d-gaussians

  Official implementation of the SIGGRAPH 2024 paper "A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets"

  Language:Python970198393

• 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:Python896234787

• vye16/shape-of-motion

  Language:Python817175459

• buaacyw/MeshAnythingV2

  From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization"

  Language:Python652191637

• turandai/gaussian_surfels

  Implementation of the SIGGRAPH 2024 conference paper "High-quality Surface Reconstruction using Gaussian Surfels".

  Language:Python53875726

• zju3dv/PGSR

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

  Language:Python514296235

• google/mannequinchallenge

  Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."

  Language:Python4932120104

• VITA-Group/FSGS

  [ECCV 2024]"FSGS: Real-Time Few-Shot View Synthesis using Gaussian Splatting", Zehao Zhu*, Zhiwen Fan*, Yifan Jiang, Zhangyang Wang

  Language:Python417116534

• rabbityl/DeformingThings4D

  [ICCV 2021] A dataset of non-rigidly deforming objects.

  Language:Python310131422

• ZHU-Zhiyu/NVS_Solver

  Source code of paper "NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer"

  Language:Python25714287

• yuehaowang/bilarf

  Code Release for "Bilateral Guided Radiance Field Processing"

  Language:Python140589

• fltwr/generative-image-dynamics

  Language:Jupyter Notebook1386814

• y-zheng18/point_odyssey

  Official code for PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking (ICCV 2023)

  Language:Python1289195

• G-U-N/Motion-I2V

  [SIGGRAPH 2024] Motion I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

  Language:Python11510711

• qianduoduolr/DecoMotion

  [ECCV 2024] Decomposition Betters Tracking Everything Everywhere

  1131819

• KU-CVLAB/locotrack

  Official implementation of "Local All-Pair Correspondence for Point Tracking" (ECCV 2024)

  Language:Python106986

• MegaScenes/nvs

  Language:Python82454

• MegaScenes/dataset

  70320

• davidmcall/SDS-Bridge

  Official Implementation of Rethinking Score Distillation as a Bridge Between Image Distributions

  Language:Python63223

• giannisdaras/ambient-tweedie

  [ICML 2024]: Official implementation for the paper: "Consistent Diffusion Meets Tweedie"

  Language:Python48114

• janehwu/mcc-ho

  MCC-HO

  Language:Python262