Stars
LLM大模型（重点）以及搜广推等 AI 算法中手写的面试题，（非 LeetCode），比如 Self-Attention, AUC等，一般比 LeetCode 更考察一个人的综合能力，又更贴近业务和基础知识一点
HunyuanImage-3.0: A Powerful Native Multimodal Model for Image Generation
Wan: Open and Advanced Large-Scale Video Generative Models
[CVPR 2025] Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models
[AAAI-2026]FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437
Official inference repo for FLUX.1 models
Controllable video and image Generation, SVD, Animate Anyone, ControlNet, ControlNeXt, LoRA
PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
[CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution
A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
This project is the official implementation of 'Diffir: Efficient diffusion model for image restoration', ICCV2023
[NeurlPS2024] One-Step Effective Diffusion Network for Real-World Image Super-Resolution
[CVPR 2024] SinSR: Diffusion-Based Image Super-Resolution in a Single Step
PyTorch code for our paper "2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution"
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
CVPR 2022 "Online Convolutional Re-parameterization"