Evaluation

Testing Data

OOD pose (CAPE, download): pose.txt
OOD outfits (RenderPeople, link): loose.txt

Run the evaluation

# Benchmark of ECON_{IF}, which uses IF-Net+ for completion
export CUDA_VISIBLE_DEVICES=0; python -m apps.benchmark -ifnet

# Benchmark of ECON_{EX}, which uses registered SMPL for completion
export CUDA_VISIBLE_DEVICES=1; python -m apps.benchmark

Benchmark

Method	$\text{ECON}_\text{IF}$	$\text{ECON}_\text{EX}$
	OOD poses (CAPE)
Chamfer(cm)	0.996	0.926
P2S(cm)	0.967	0.917
Normal(L2)	0.0413	0.0367
	OOD oufits (RenderPeople)
Chamfer(cm)	1.401	1.342
P2S(cm)	1.422	1.458
Normal(L2)	0.0516	0.0478

*OOD: Out-of-Distribution

Citation

:+1: Please cite these CAPE-related papers


@inproceedings{xiu2022icon,
  title     = {{ICON}: {I}mplicit {C}lothed humans {O}btained from {N}ormals},
  author    = {Xiu, Yuliang and Yang, Jinlong and Tzionas, Dimitrios and Black, Michael J.},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  month     = {June},
  year      = {2022},
  pages     = {13296-13306}
}

@inproceedings{CAPE:CVPR:20,
  title = {{Learning to Dress 3D People in Generative Clothing}},
  author = {Ma, Qianli and Yang, Jinlong and Ranjan, Anurag and Pujades, Sergi and Pons-Moll, Gerard and Tang, Siyu and Black, Michael J.},
  booktitle = {Computer Vision and Pattern Recognition (CVPR)},
  month = June,
  year = {2020},
  month_numeric = {6}
}

@article{Pons-Moll:Siggraph2017,
  title = {ClothCap: Seamless 4D Clothing Capture and Retargeting},
  author = {Pons-Moll, Gerard and Pujades, Sergi and Hu, Sonny and Black, Michael},
  journal = {ACM Transactions on Graphics, (Proc. SIGGRAPH)},
  volume = {36},
  number = {4},
  year = {2017},
  note = {Two first authors contributed equally},
  crossref = {},
  url = {http://dx.doi.org/10.1145/3072959.3073711}
}