Stars
[MIDL 2025] Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…
[CVPR 2025 Oral]Infinity ∞ : Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis
Implementation of Stable Diffusion with PyTorch
Official pytorch implementation for "Low-light Image Enhancement with Wavelet-based Diffusion Models"
Official pytorch implementation for "LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models"
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch.
Stable Video Diffusion Training Code and Extensions.
VideoSys: An easy and efficient system for video generation
Generative Models by Stability AI
Medical Image Segmentation with Diffusion Model
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…
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
[NeurIPS 2024] Code release for "Segment Anything without Supervision"
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
Refine high-quality datasets and visual AI models
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing d…