hejingwenhejingwen

hejingwenhejingwen's Stars

• hpcaitech/Open-Sora

  Open-Sora: Democratizing Efficient Video Production for All

  Language:Python22.2k1875042.2k

• THUDM/CogVideo

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

  Language:Python9.1k125375856

• OpenGVLab/LLaMA-Adapter

  [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

  Language:Python5.8k78142374

• AILab-CVC/VideoCrafter

  VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

  Language:Python4.6k7184339

• XPixelGroup/DiffBIR

  Official codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

  Language:Python3.4k35128289

• ali-vilab/VGen

  Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models

  Language:Python3k32135264

• williamyang1991/Rerender_A_Video

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

  Language:Jupyter Notebook3k26112202

• PixArt-alpha/PixArt-alpha

  PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

  Language:Python2.8k470181

• Alpha-VLLM/LLaMA2-Accessory

  An Open-source Toolkit for LLM Development

  Language:Python2.7k37137176

• Alpha-VLLM/Lumina-T2X

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

  Language:Python2.1k308788

• Vchitect/Latte

  Latte: Latent Diffusion Transformer for Video Generation.

  Language:Python1.7k23106177

• NVlabs/edm

  Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

  Language:Python1.4k2926146

• sczhou/Upscale-A-Video

  [CVPR 2024] Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

  Language:Python1k802651

• ali-vilab/videocomposer

  Official repo for VideoComposer: Compositional Video Synthesis with Motion Controllability

  Language:Python900254480

• OpenGVLab/SAM-Med2D

  Official implementation of SAM-Med2D

  Language:Jupyter Notebook876136982

• lucidrains/muse-maskgit-pytorch

  Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch

  Language:Python868343681

• NUS-HPC-AI-Lab/Neural-Network-Parameter-Diffusion

  We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters

  Language:Python835192343

• Vchitect/Vchitect-2.0

  Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models

  Language:Python64371317

• Vchitect/VBench

  [CVPR2024 Highlight] VBench - We Evaluate Video Generation

  Language:Python576117228

• lucidrains/magvit2-pytorch

  Implementation of MagViT2 Tokenizer in Pytorch

  Language:Python562283534

• YingqingHe/ScaleCrafter

  [ICLR 2024 Spotlight] Official implementation of ScaleCrafter for higher-resolution visual generation at inference time.

  Language:Python49393029

• TianxingWu/FreeInit

  [ECCV 2024] FreeInit: Bridging Initialization Gap in Video Diffusion Models

  Language:Python49051924

• Zj-BinXia/DiffIR

  This project is the official implementation of 'Diffir: Efficient diffusion model for image restoration', ICCV2023

  Language:Jupyter Notebook46956720

• Vchitect/VEnhancer

  Official codes of VEnhancer: Generative Space-Time Enhancement for Video Generation

  Language:Python458192825

• VINHYU/CoSeR

  [CVPR 2024] CoSeR: Bridging Image and Language for Cognitive Super-Resolution

  32030109

• city-super/MatrixCity

  Language:Python21910449

• bornfly-detachment/asymmetric_magvitv2

  In 2024, the strongest open-source implementation of asymmetric magvit_v2 supports inference code but excludes VQVAE. It supports the joint encoding of images and videos, accommodating arbitrary video lengths and resolutions. It surpasses all open-source models in FID and FVD, with 4z and 16z models available on huggingface.

  Language:Python1251055

• Shuweis/ResMaster

  62810

• XPixelGroup/SEAL

  ICLR 2024 (Spotlight) - SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution

  Language:Python48315

• Vchitect/LiteGen

  A light-weight and high-efficient training framework for accelerating diffusion tasks.

  Language:Python40412