[NeurIPS 2025] Improving Video Generation with Human Feedback

[NeurIPS 2025] An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models

Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model

[ICCV'25 Best Paper Finalist] ReCamMaster: Camera-Controlled Generative Rendering from A Single Video

CogView4, CogView3-Plus and CogView3(ECCV 2024)

[SIGGRAPH Asia 2024, Best Paper Honorable Mention] This is the official implementation of our SIGGRAPH Asia journal artical: TEXGen: a Generative Diffusion Model for Mesh Textures

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

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

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

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 vi…

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

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

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

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

[CVPR2024 Highlight] VBench - We Evaluate Video Generation

An Open-source Toolkit for LLM Development

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

Open-Sora: Democratizing Efficient Video Production for All

[TMLR 2025] Latte: Latent Diffusion Transformer for Video Generation.

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

[ICCV 2023] MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond.

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

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

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

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

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

Implementation of MagViT2 Tokenizer in Pytorch

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