A Training-free Iterative Framework for Long Story Visualization

Medical Image Segmentation with Diffusion Model

This is the official repository of our paper "MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine“

This is the official repository of our paper "What If We Recaption Billions of Web Images with LLaMA-3 ?"

This repository includes the official implementation our paper "Scaling White-Box Transformers for Vision"

HQ-Edit: A High-Quality and High-Coverage Dataset for General Image Editing

[CVPR 2024] This repository includes the official implementation our paper "MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections"

[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)

[ICML 2024] This repository includes the official implementation of our paper "Rejuvenating image-GPT as Strong Visual Representation Learners"

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

This is the official repository for the paper "3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers"

[MICCAI 2023] This repository includes the official implementation our paper "SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation"

Refine high-quality datasets and visual AI models

[NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"

[TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"

This repository houses the official implementation of Multiple Instance NeuroImage Transformer (MINiT) paper, accepted at PRedictive Intelligence in MEdicine (PRIME 2022) in Singapore to be held on…

[ICLR 2023] This repository includes the official implementation our paper "Can CNNs Be More Robust Than Transformers?"

[ECCV 2022] This repository includes the official implementation our paper "In Defense of Image Pre-Training for Spatiotemporal Recognition".

Self-supervised federated learning for medical imaging - IEEE TMI