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Starred repositories
SUMS: Semantic Urban Mesh Segmentation.
(CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds
[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
Pytorch framework for doing deep learning on point clouds.
PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes
An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.
An official implementation for APNet: Urban-level Scene Segmentation of Aerial Images and Point Clouds
[CVPR'24] Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery
PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation [CVPR 2024]
参考《自己动手写 docker》从零开始实现一个简易的 docker 以及相关教程。Build a simple Docker from scratch along with related tutorials.
[ICIP2023] TR3D: Towards Real-Time Indoor 3D Object Detection
[WACV'24] TD3D: Top-Down Beats Bottom-Up in 3D Instance Segmentation
基于 gin+gorm+redis+mysql 读写分离的电子商城，包括 JWT 鉴权，CORS跨域，AES 对称加密，引入ELK体系方便日志查看，jaeger进行trace查看，skywalking进行检测，使用docker容器化部署