awesome-3d-vision
github.com/hardy-uint/awesome-3d-vision ↗3D computer vision incuding SLAM,VSALM,Deep Learning,Structured light,Stereo,Three-dimensional reconstruction,Computer vision,Machine Learning and so on
597
GitHub Stars
426
Curated Resources
26
Categories
17 hours ago
Last Refreshed
相机生产厂家汇总视觉SLAMBooksCourses点云标注工具点云去噪&滤波点云线、面拟合点云识别&分类点云匹配&配准&对齐&注册点云匹配质量评估点云分割点云三维重建点云其它点云数据集单目图像结构光立体视觉3D成像SFMTOFMulti-view StereoPlanar Reconstruction纹理/材料分析与合成场景合成/重建标注工具数据格式不同Github链接
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me project with code resources from awesome-3d-vision"
Installation instructions →What's inside
Courses
- 3D Computer Vision: Past, Present, and Future
- Advances in Computer Vision
Antonio Torralba and Bill Freeman (MIT)
- Computer Vision
Derek Hoiem (UIUC)
- Computer Vision
Steve Seitz (University of Washington)
- Computer Vision
Rob Fergus (NYU)
- Computer Vision
Bastian Leibe (RWTH Aachen University)
点云数据集
点云匹配&配准&对齐&注册
点云去噪&滤波
单目图像
- 3dr2n2: A unified approach for single and multi-view 3d object ReconstructionProject with code
ECCV 2016
- A Point Set Generation Network for 3D Object Reconstruction from a Single ImageProject with code
CVPR 2017
- AtlasNet: A Papier-Mâché Approach to Learning 3D Surface GenerationProject with code
CVPR 2018
- DeepSDF: Learning Continuous Signed Distance Functions for Shape RepresentationProject with code
CVPR 2019
- DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single ImageProject with code
ACCV 2018
- Hierarchical Surface Prediction for 3D Object ReconstructionProject with code
3DV 2017
点云识别&分类
Multi-view Stereo
- 3D Textured Model Encryption via 3D Lu Chaotic Mappingpaper
- Accurate, Dense, and Robust Multiview Stereopsispaper
- A New Variational Framework for Multiview Surface Reconstructionpaper
- Bundler SFMSoftware
- Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matchingpaper
- Clustering Views for Multi-view StereoSoftware
Showing a sample of 426 resources. View the full list on GitHub →