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Starred repositories
[Preprint 2025] Ditto: Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset
Wan: Open and Advanced Large-Scale Video Generative Models
Official Implementation for "InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention"
Official implementation of HYPIR: Harnessing Diffusion-Yielded Score Priors for Image Restoration (SIGGRAPH 2025)
[ICCV 2025] Official implementations for paper: VACE: All-in-One Video Creation and Editing
Lumina-DiMOO - An Open-Sourced Multi-Modal Large Diffusion Language Model
🎦 Video comparison player for Mac and Windows, built using Electron
A beautiful, simple, clean, and responsive Jekyll theme for academics
You can easily calculate FVD, PSNR, SSIM, LPIPS for evaluating the quality of generated or predicted videos.
Official Repo for CVPR 2025 paper "OSDFace: One-Step Diffusion Model for Face Restoration"
📹 A more flexible framework that can generate videos at any resolution and creates videos from images.
A pipeline parallel training script for diffusion models.
Enjoy the magic of Diffusion models!
Official code for "Style Aligned Image Generation via Shared Attention"
Official PyTorch codes for the paper: "ViCo: Detail-Preserving Visual Condition for Personalized Text-to-Image Generation"
FaRL for Facial Representation Learning [Official, CVPR 2022]
⭐ Linux / Windows / macOS 跨平台 V2Ray 客户端 | 支持 VMess / VLESS / SSR / Trojan / Trojan-Go / NaiveProxy / HTTP / HTTPS / SOCKS5 | 使用 C++ / Qt 开发 | 可拓展插件式设计 ⭐
A GUI client for Windows, Linux and macOS, support Xray and sing-box and others
The official implementation of "ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration" [NeurIPS 2024]
🔥 [ICCV 2025 Highlight] InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity
Concat-ID: Towards Universal Identity-Preserving Video Synthesis
Official implementation of "Sonic: Shifting Focus to Global Audio Perception in Portrait Animation"
PyTorch code and models for the DINOv2 self-supervised learning method.