Official implementation of "Articulation Aware Canonical Surface Mapping"

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Deep Learningacsm
Overview

Articulation-Aware Canonical Surface Mapping

Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani

Paper Project Page

Requirements

  • Python 2.7
  • PyTorch tested with 1.2.0 and works with 1.3.0 too.
  • cuda 9.2

For setup and installation refer to docs/install.md instructions.

Setup Evlaution and Training

For ease of acess we provide python scripts that can generate slurm scripts that can be used to generate the results in the paper.

  • Downloading pre-trained model and annotations. Follow setup instructions here

  • Training from scratch. Follow setup instructions here

Citation

If you find the code useful for your research, please consider citing:-

@inproceedings{kulkarni2020articulation,
  title={Articulation-aware Canonical Surface Mapping},
  author={Kulkarni, Nilesh and Gupta, Abhinav and Fouhey, David F and Tulsiani, Shubham},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={452--461},
  year={2020}
}

Future Release

  • Python 3.6
  • PyTorch 1.5
  • PyTorch3D
Owner
Nilesh Kulkarni
Nilesh Kulkarni
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