https://github.com/hkust-aerial-robotics/masstar

A Multi-modal Large-scale Scene Dataset and A Versatile Toolchain for Scene Prediction
https://github.com/hkust-aerial-robotics/masstar

3d-scene-understanding scene-prediction

Last synced: about 1 month ago
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A Multi-modal Large-scale Scene Dataset and A Versatile Toolchain for Scene Prediction

• Host: GitHub
• URL: https://github.com/hkust-aerial-robotics/masstar
• Owner: HKUST-Aerial-Robotics
• License: gpl-3.0
• Created: 2023-09-22T06:07:09.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2024-04-06T15:34:14.000Z (about 1 year ago)
• Last Synced: 2025-04-22T14:15:07.582Z (about 1 month ago)
• Topics: 3d-scene-understanding, scene-prediction
• Homepage: https://sysu-star.github.io/MASSTAR/
• Size: 620 KB
• Stars: 13
• Watchers: 6
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        


    
🌟MASSTAR

    
A Multi-Modal Large-Scale Scene Dataset with a Versatile Toolchain for Surface Prediction and Completion

    Submitted to IROS 2024

    


        Guiyong Zheng1,4,*,

        Jinqi Jiang1,3,*,

        Chen Feng2,*,

        Shaojie Shen2,

        Boyu Zhou1,†

    


        

            1 Sun Yat-Sen University.   

            2 The Hong Kong University of Science and Technology.   

            


            3 Harbin Institute of Technology.   

            4 Xidian University.   

            


        

        *Equal Contribution   

        †Corresponding Author

    

    

    

    

    



## Dataset

### Dataset Structure



### Dataset Download

*Download link*: stored in [Zenodo](https://zenodo.org/record/8416679)

## ToolChain

**Code will come soon**