🔥 InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity

Implementation of [CVPR 2025] "DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation"

CAMixerSR: Only Details Need More “Attention” (CVPR 2024)

[ICLR 2025] Rectified Diffusion: Straightness Is Not Your Need

HunyuanVideo-I2V: A Customizable Image-to-Video Model based on HunyuanVideo

RichHF-18K dataset contains rich human feedback labels we collected for our CVPR'24 paper: https://arxiv.org/pdf/2312.10240, along with the file name of the associated labeled images (no urls or im…

[CVPR 2025] Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distribution

Wan: Open and Advanced Large-Scale Video Generative Models

Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation

Solve Visual Understanding with Reinforced VLMs

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. (EMNLP 2022)

Omegance: A Single Parameter for Various Granularities in Diffusion-Based Synthesis (arXiv, 2024)

Video Generation Foundation Models: https://saiyan-world.github.io/goku/

[CVPR 2025] MatAnyone: Stable Video Matting with Consistent Memory Propagation

CVPR2025

[ICLR 2025] Pyramidal Flow Matching for Efficient Video Generative Modeling

Official PyTorch implementation of paper "CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up".

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

This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

Source code to the ProPainter website

Arbitrary-steps Image Super-resolution via Diffusion Inversion (CVPR 2025)

Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer

RAG that intelligently adapts to your use case, data, and queries

The best OSS video generation models

The best OSS video generation models

[ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

A comparison tool to aid image/video enhancement research