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Fudan University
- Shanghai, China
Stars
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Reference PyTorch implementation and models for DINOv3
Open-Sora: Democratizing Efficient Video Production for All
A C++ visual studio application for reconstructing a 3D vesselness volume from 2D DSA images. It is assumed the DSA images have been segmented using the VESCL contouring library to generate annotat…
An open-source implementaion for fine-tuning Qwen-VL series by Alibaba Cloud.
MedEvalKit: A Unified Medical Evaluation Framework
[MIDL 2025] Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders
Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens
A fork to add multimodal model training to open-r1
Train transformer language models with reinforcement learning.
👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
[NeurIPS 2023] AbdomenAtlas 1.0 (5,195 CT volumes + 9 annotated classes)
A NIfTI (nii.gz) 3D Visualizer using VTK and Qt5
Explore the world of 3D graphics and visualization with VTK examples in Python.
[NeurIPS 2025 Spotlight] Q-Insight: Understanding Image Quality via Visual Reinforcement Learning
3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
Collection of awesome medical dataset resources.
verl: Volcano Engine Reinforcement Learning for LLMs
[NeurIPS 2025 Spotlight] A Unified Tokenizer for Visual Generation and Understanding
Q-Insight is open-sourced at https://github.com/bytedance/Q-Insight. This repository will not receive further updates.
A comprehensive collection of IQA papers
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
[AAAI 2023] Exploring CLIP for Assessing the Look and Feel of Images
Production-ready platform for agentic workflow development.