liuzhihui2046

liuzhihui2046's Stars

• facebookresearch/co-tracker

  CoTracker is a model for tracking any point (pixel) on a video.

  Language:Jupyter Notebook3k209

• open-mmlab/mmagic

  OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

  Language:Jupyter Notebook6.9k1.1k

• xiaobai1217/Awesome-Video-Datasets

  Video datasets

  1.2k92

• Tencent/DepthCrafter

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

  Language:Python79738

• sczhou/ProPainter

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

  Language:Python5.6k660

• XiaoyuShi97/FlowFormerPlusPlus

  FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation

  Language:Python12414

• XiaoyuShi97/VideoFlow

  Official implementation of ICCV2023 VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation

  Language:Python25728

• williamyang1991/Rerender_A_Video

  [SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

  Language:Jupyter Notebook3k201

• phoenix104104/fast_blind_video_consistency

  Learning Blind Video Temporal Consistency (ECCV 2018)

  Language:Python42063

• ostris/ai-toolkit

  Various AI scripts. Mostly Stable Diffusion stuff.

  Language:Python3.1k307

• lllyasviel/IC-Light

  More relighting!

  Language:Python5k342

• hacksider/Deep-Live-Cam

  real time face swap and one-click video deepfake with only a single image

  Language:Python38.8k5.6k

• AiuniAI/Unique3D

  Official implementation of Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image

  Language:Python3k233

• AliaksandrSiarohin/first-order-model

  This repository contains the source code for the paper First Order Motion Model for Image Animation

  Language:Jupyter Notebook14.5k3.2k

• Mikoto10032/DeepLearning

  深度学习入门教程, 优秀文章, Deep Learning Tutorial

  Language:Jupyter Notebook14.3k3.5k

• WisconsinAIVision/ViP-LLaVA

  [CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts

  Language:Python28722

• cambrian-mllm/cambrian

  Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

  Language:Python1.7k113

• triton-inference-server/server

  The Triton Inference Server provides an optimized cloud and edge inferencing solution.

  Language:Python8.2k1.5k

• facebookincubator/AITemplate

  AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

  Language:Python4.5k367

• lllyasviel/Fooocus

  Focus on prompting and generating

  Language:Python40.9k5.7k

• HVision-NKU/StoryDiffusion

  Accepted as [NeurIPS 2024] Spotlight Presentation Paper

  Language:Jupyter Notebook5.9k590

• FusionBrainLab/HairFastGAN

  Official Implementation for "HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach"

  Language:Python41360

• JackAILab/ConsistentID

  Customized ID Consistent for human

  Language:Python84176

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python26.7k3k

• Fictionarry/ER-NeRF

  [ICCV'23] Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis

  Language:Python1k134

• comfyanonymous/ComfyUI

  The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

  Language:Python53.6k5.7k

• 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:Python11.4k1k

• lyogavin/train_your_own_sora

  Language:Python17829

• google/gemma.cpp

  lightweight, standalone C++ inference engine for Google's Gemma models.

  Language:C++6k507

• IDEA-Research/GroundingDINO

  [ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

  Language:Python6.5k671