CLOTH3D: Clothed 3D Humans

Hugo Bertiche; Meysam Madadi; Sergio Escalera

ECCV 2020poster182 citations

CLOTH3D: Clothed 3D Humans

Hugo Bertiche, Meysam Madadi, Sergio Escalera

Abstract

We present CLOTH3D, the first big scale synthetic dataset of 3D clothed human sequences. CLOTH3D contains a large variability on garment type, topology, shape, size, tightness and fabric. Clothes are simulated on top of thousands of different pose sequences and body shapes, generating realistic cloth dynamics. We provide the dataset with a generative model for cloth generation. We propose a Conditional Variational Auto-Encoder (CVAE) based on graph convolutions (GCVAE) to learn garment latent spaces. This allows for realistic generation of 3D garments on top of SMPL model for any pose and shape."

BibTeX

@inproceedings{eccv2020_cloth3dclothed3d,
  title = {CLOTH3D: Clothed 3D Humans},
  author = {Hugo Bertiche and Meysam Madadi and Sergio Escalera},
  booktitle = {ECCV 2020},
  year = {2020}
}