Curate, Annotate, and Manage Your Data in LightlyStudio.

Official repository of CVPR 2024 paper "EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation"

Official repository of LOG 2025 paper "SearchViG: Optimal Vision GNNs via Ramanujan Spectral Optimization"

Official repository of NeurIPS 2025 paper "LoMix: Learnable Weighted Multi‑Scale Logits Mixing for Medical Image Segmentation"

Official pytorch implementation of Efficient Dual-line Decoder with Multi-Scale Convolutional Attention for Multi Organ segmentation which is published in Biomedical Signal Processing and Control J…

Official repository of ICCV 2025 CVAMD Oral paper: MK-UNet: Multi-kernel Lightweight CNN for Medical Image Segmentation

Official repository of MIDL 2025 Oral paper "Training-Free Dataset Pruning for Polyp Segmentation via Community Detection in Similarity Networks"

Official repository of MICCAI 2025 paper "EfficientMedNeXt: Multi-Receptive Dilated Convolutions for Medical Image Segmentation"

CMU 10-742 - Machine Learning in Healthcare - Fall 2024 (Adam Berger)

[MIDL 2025] Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders

Official Repository of EffiDec3D-CVPR2025 paper

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…

[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.

AI Toolkit for Healthcare Imaging

VideoSys: An easy and efficient system for video generation

Generative Models by Stability AI

Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]

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.

CNNT implementation for Microscopy

[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…