wkbian

wkbian's Stars

• yt-dlp/yt-dlp

  A feature-rich command-line audio/video downloader

  Language:Python105k5748.9k8.2k

• graphdeco-inria/gaussian-splatting

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

  Language:Python16.1k1231.1k2.2k

• facebookresearch/sam2

  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 Notebook14.6k824811.5k

• 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:Python11.9k1553731.1k

• THUDM/CogVideo

  text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)

  Language:Python11k1345751.1k

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook10k96423903

• nerfstudio-project/nerfstudio

  A collaboration friendly studio for NeRFs

  Language:Python10k1171.7k1.4k

• open-mmlab/mmsegmentation

  OpenMMLab Semantic Segmentation Toolbox and Benchmark.

  Language:Python8.7k522.4k2.7k

• rany2/edge-tts

  Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key

  Language:Python7.7k56252737

• LiheYoung/Depth-Anything

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

  Language:Python7.4k51225562

• 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:Python6.7k61141489

• naver/dust3r

  DUSt3R: Geometric 3D Vision Made Easy

  Language:Python6k53181643

• DepthAnything/Depth-Anything-V2

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

  Language:Python4.9k40235438

• open-mmlab/mmtracking

  OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

  Language:Python3.7k48466599

• Doubiiu/DynamiCrafter

  [ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

  Language:Python2.8k33148227

• nerfstudio-project/gsplat

  CUDA accelerated rasterization of gaussian splatting

  Language:Python2.7k51318375

• isl-org/ZoeDepth

  Metric depth estimation from a single image

  Language:Jupyter Notebook2.5k36120230

• qianqianwang68/omnimotion

  Language:Python2.2k12156124

• Alpha-VLLM/Lumina-T2X

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

  Language:Python2.2k329091

• mhamilton723/FeatUp

  Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

  Language:Jupyter Notebook1.5k167784

• google-deepmind/tapnet

  Tracking Any Point (TAP)

  Language:Jupyter Notebook1.4k31130138

• Tencent/DepthCrafter

  DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos

  Language:Python1.2k525066

• Junyi42/monst3r

  Official Implementation of paper "MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion"

  Language:Python1.1k366660

• vye16/shape-of-motion

  Language:Python937166668

• henry123-boy/SpaTracker

  [CVPR 2024 Highlight] Official PyTorch implementation of SpatialTracker: Tracking Any 2D Pixels in 3D Space

  Language:Python813594432

• facebookresearch/projectaria_tools

  projectaria_tools is an C++/Python open-source toolkit to interact with Project Aria data

  Language:C++5864411982

• iejMac/video2dataset

  Easily create large video dataset from video urls

  Language:Python585915670

• aharley/pips2

  PIPs++

  Language:Python30342736

• y-zheng18/point_odyssey

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

  Language:Python1408227

• serycjon/MFT

  MFT: Long-Term Tracking of Every Pixel -- code for the WACV 2024 paper

  Language:Python56347