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SUNCG

The SUNCG dataset is a large dataset of 3D indoor scenes with missing objects. The dataset is used to evaluate the performance of scene augmentation and context-based object recognition methods.

Data and Resources

Cite this as

Siyuan Qi, Yixin Zhu, Siyuan Huang, Chenfanfu Jiang, Song-Chun Zhu (2024). Dataset: SUNCG. https://doi.org/10.57702/zpty8syx

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1109/ICCVW.2019.00264
Citation
  • https://doi.org/10.48550/arXiv.1907.11308
  • https://doi.org/10.48550/arXiv.1808.08473
  • https://doi.org/10.48550/arXiv.1904.03895
  • https://doi.org/10.48550/arXiv.1905.00889
  • https://doi.org/10.48550/arXiv.2204.00889
  • https://doi.org/10.48550/arXiv.2004.12498
  • https://doi.org/10.48550/arXiv.1806.05361
  • https://doi.org/10.48550/arXiv.2007.13727
  • https://doi.org/10.48550/arXiv.1905.02722
Author Siyuan Qi
More Authors
Yixin Zhu
Siyuan Huang
Chenfanfu Jiang
Song-Chun Zhu
Homepage https://github.com/SiyuanQi/SUNCG