WarpGAN: Automatic Caricature Generation

Yichun Shi, Debayan Deb, Anil K. Jain
11/25/2018
cs.CV

Official code: seasonSH/WarpGAN (260 stars, MIT, last commit 2019-04-16).

Abstract

We propose, WarpGAN, a fully automatic network that can generate caricatures given an input face photo. Besides transferring rich texture styles, WarpGAN learns to automatically predict a set of control points that can warp the photo into a caricature, while preserving identity. We introduce an identity-preserving adversarial loss that aids the discriminator to distinguish between different subjects. Moreover, WarpGAN allows customization of the generated caricatures by controlling the exaggeration extent and the visual styles. Experimental results on a public domain dataset, WebCaricature, show that WarpGAN is capable of generating a diverse set of caricatures while preserving the identities. Five caricature experts suggest that caricatures generated by WarpGAN are visually similar to hand-drawn ones and only prominent facial features are exaggerated.

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Code Implementations(1)

seasonSH/WarpGANOfficial100%
MIT

(CVPR 2019 Oral) Style Transfer with Geometric Deformation

26061PythonApr 1, 20197 years agoMIT
caricaturescartoonganstyle-transfer

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Cite this paper

@article{shi2018warpgan,
  title  = {WarpGAN: Automatic Caricature Generation},
  author = {Yichun Shi and Debayan Deb and Anil K. Jain},
  year   = {2018},
  eprint = {1811.10100},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1811.10100}
}

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