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All Projects → xrenaa → CS-DisMo

xrenaa / CS-DisMo

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[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

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deep-learningpytorchunsupervised-learningimage-translationdisentangled-representationscontent-style

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Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
Xuanchi Ren, Tao Yang, Yuwang Wang and Wenjun Zeng
ICCV Workshop 2021

[Paper] [Appendix] [Demo Video]

NOTE: The following results are obtained in a completely unsupervised manner.

Celeba
image image image
image image image

Content transfer

Cars3D Chairs CelebA
image image image
Cat Anime MNIST
image image image
Market-1501
image
Unseen Image Inference
image image

BibTeX

@inproceedings{ren2021CS,
  title   = {Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement},
  author  = {Xuanchi Ren, Tao Yang, Yuwang Wang, Wenjun Zeng},
  booktitle = {ICCVW},
  year    = {2021}
}
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