---
_id: '8092'
abstract:
- lang: eng
  text: Image translation refers to the task of mapping images from a visual domain
    to another. Given two unpaired collections of images, we aim to learn a mapping
    between the corpus-level style of each collection, while preserving semantic content
    shared across the two domains. We introduce xgan, a dual adversarial auto-encoder,
    which captures a shared representation of the common domain semantic content in
    an unsupervised way, while jointly learning the domain-to-domain image translations
    in both directions. We exploit ideas from the domain adaptation literature and
    define a semantic consistency loss which encourages the learned embedding to preserve
    semantics shared across domains. We report promising qualitative results for the
    task of face-to-cartoon translation. The cartoon dataset we collected for this
    purpose, “CartoonSet”, is also publicly available as a new benchmark for semantic
    style transfer at https://google.github.io/cartoonset/index.html.
article_processing_charge: No
arxiv: 1
author:
- first_name: Amélie
  full_name: Royer, Amélie
  id: 3811D890-F248-11E8-B48F-1D18A9856A87
  last_name: Royer
  orcid: 0000-0002-8407-0705
- first_name: Konstantinos
  full_name: Bousmalis, Konstantinos
  last_name: Bousmalis
- first_name: Stephan
  full_name: Gouws, Stephan
  last_name: Gouws
- first_name: Fred
  full_name: Bertsch, Fred
  last_name: Bertsch
- first_name: Inbar
  full_name: Mosseri, Inbar
  last_name: Mosseri
- first_name: Forrester
  full_name: Cole, Forrester
  last_name: Cole
- first_name: Kevin
  full_name: Murphy, Kevin
  last_name: Murphy
citation:
  ama: 'Royer A, Bousmalis K, Gouws S, et al. XGAN: Unsupervised image-to-image translation
    for many-to-many mappings. In: Singh R, Vatsa M, Patel VM, Ratha N, eds. <i>Domain
    Adaptation for Visual Understanding</i>. Springer Nature; 2020:33-49. doi:<a href="https://doi.org/10.1007/978-3-030-30671-7_3">10.1007/978-3-030-30671-7_3</a>'
  apa: 'Royer, A., Bousmalis, K., Gouws, S., Bertsch, F., Mosseri, I., Cole, F., &#38;
    Murphy, K. (2020). XGAN: Unsupervised image-to-image translation for many-to-many
    mappings. In R. Singh, M. Vatsa, V. M. Patel, &#38; N. Ratha (Eds.), <i>Domain
    Adaptation for Visual Understanding</i> (pp. 33–49). Springer Nature. <a href="https://doi.org/10.1007/978-3-030-30671-7_3">https://doi.org/10.1007/978-3-030-30671-7_3</a>'
  chicago: 'Royer, Amélie, Konstantinos Bousmalis, Stephan Gouws, Fred Bertsch, Inbar
    Mosseri, Forrester Cole, and Kevin Murphy. “XGAN: Unsupervised Image-to-Image
    Translation for Many-to-Many Mappings.” In <i>Domain Adaptation for Visual Understanding</i>,
    edited by Richa Singh, Mayank Vatsa, Vishal M. Patel, and Nalini Ratha, 33–49.
    Springer Nature, 2020. <a href="https://doi.org/10.1007/978-3-030-30671-7_3">https://doi.org/10.1007/978-3-030-30671-7_3</a>.'
  ieee: 'A. Royer <i>et al.</i>, “XGAN: Unsupervised image-to-image translation for
    many-to-many mappings,” in <i>Domain Adaptation for Visual Understanding</i>,
    R. Singh, M. Vatsa, V. M. Patel, and N. Ratha, Eds. Springer Nature, 2020, pp.
    33–49.'
  ista: 'Royer A, Bousmalis K, Gouws S, Bertsch F, Mosseri I, Cole F, Murphy K. 2020.XGAN:
    Unsupervised image-to-image translation for many-to-many mappings. In: Domain
    Adaptation for Visual Understanding. , 33–49.'
  mla: 'Royer, Amélie, et al. “XGAN: Unsupervised Image-to-Image Translation for Many-to-Many
    Mappings.” <i>Domain Adaptation for Visual Understanding</i>, edited by Richa
    Singh et al., Springer Nature, 2020, pp. 33–49, doi:<a href="https://doi.org/10.1007/978-3-030-30671-7_3">10.1007/978-3-030-30671-7_3</a>.'
  short: A. Royer, K. Bousmalis, S. Gouws, F. Bertsch, I. Mosseri, F. Cole, K. Murphy,
    in:, R. Singh, M. Vatsa, V.M. Patel, N. Ratha (Eds.), Domain Adaptation for Visual
    Understanding, Springer Nature, 2020, pp. 33–49.
date_created: 2020-07-05T22:00:46Z
date_published: 2020-01-08T00:00:00Z
date_updated: 2023-09-07T13:16:18Z
day: '08'
department:
- _id: ChLa
doi: 10.1007/978-3-030-30671-7_3
editor:
- first_name: Richa
  full_name: Singh, Richa
  last_name: Singh
- first_name: Mayank
  full_name: Vatsa, Mayank
  last_name: Vatsa
- first_name: Vishal M.
  full_name: Patel, Vishal M.
  last_name: Patel
- first_name: Nalini
  full_name: Ratha, Nalini
  last_name: Ratha
external_id:
  arxiv:
  - '1711.05139'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/1711.05139
month: '01'
oa: 1
oa_version: Preprint
page: 33-49
publication: Domain Adaptation for Visual Understanding
publication_identifier:
  isbn:
  - '9783030306717'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  record:
  - id: '8331'
    relation: dissertation_contains
    status: deleted
  - id: '8390'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: 'XGAN: Unsupervised image-to-image translation for many-to-many mappings'
type: book_chapter
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2020'
...