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21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
一个基于WebDAV的全平台EPUB阅读器,支持笔记、进度、书签同步,支持Kindle笔记导入。
Collection of awesome medical dataset resources.
[MedIA2022]WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Point Cloud Registration using Representative Overlapping Points. https://arxiv.org/abs/2107.02583.
[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)
《剑指 Offer》 Python, Java, C++ 解题代码,LeetBook《图解算法数据结构》配套代码仓
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
This is the offical implementation of 'PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer'.
An end-to-end geometry-based pipeline for automatic preoperative surgical planning of pelvic fracture reduction and fixation
Rotation-Invariant Transformer for Point Cloud Matching
Point2SSM++: Self-Supervised Learning of Anatomical Shape Models from Point Clouds
[NeurIPS 2023] Jigsaw: Learning to Assemble Multiple Fractured Objects
Official repository for "DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly" accepted at CVPR2024
[CVPR 2024 Highlight] Official GraCo: Granularity-Controllable Interactive Segmentation.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Code for paper "PuzzleFusion++: Auto-agglomerative 3D Fracture Assembly by Denoise and Verify" [ICLR2025]
This is the official code of the paper "Few Shot Medical Image Segmentation with Cross Attention Transformer"
[AAAI' 25] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
[ISBI 2024 Oral] ProMISe: Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models
An open-source pelvis atlas is constructed to provide pelvis CT segmentations, statistical shape models, and surgical screw trajectories
Pytorch package to compute Chamfer distance between point sets (pointclouds).
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/