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Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

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Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

Canonical Surface Mapping via Geometric Cycle Consistency

Nilesh Kulkarni, Abhinav Gupta*, Shubham Tulsiani*

Project Page

Requirements

  • Python 2.7
  • PyTorch 0.4

Follow-up work on Articulation-aware Canonical Surface Mapping

Please checkout the follow-up work here. We show results on over 10 categories.

Installation

Following instructions here

Training

Please see csm/docs/training.md

Testing

Please see csm/docs/testing.md

Ablation Analysis

Please see csm/docs/ablation.md

Citation

If you use this code for your research, please consider citing:

@article{kulkarni2019csm,
  title={Canonical Surface Mapping via Geometric Cycle Consistency},
  author={Kulkarni, Nilesh
  and Gupta, Abhinav
  and Tulsiani, Shubham},
  journal={International Conference on Computer Vision (ICCV)}
  year={2019}
}

Acknowledgements

Parts of this code were borrowed from CMR.

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> Tags

C++3dcorrespondenceunsupervised-learning

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> Details

PublishedAug 1, 2026
UpdatedSep 18, 2026
Category编程语言
PricingOpen source

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