Title: X-Bridge: Image-to-Image Translation with Reconstruction Capabilities
Other Titles: X-Bridge: Translace obrázků s rekonstrukčními kapacitami
Authors: Gruber, Ivan
Hrúz, Marek
Železný, Miloš
Karpov, Alexey
Citation: GRUBER, I. HRÚZ, M. ŽELEZNÝ, M. KARPOV, A. X-Bridge: Image-to-Image Translation with Reconstruction Capabilities. In 23rd International Conference, SPECOM 2021, St. Petersburg, Russia, September 27–30, 2021, Proceedings. Cham: Springer, 2021. s. 238-249. ISBN: 978-3-030-87801-6 , ISSN: 0302-9743
Issue Date: 2021
Publisher: Springer
Document type: konferenční příspěvek
ConferenceObject
URI: 2-s2.0-85116369882
http://hdl.handle.net/11025/47269
ISBN: 978-3-030-87801-6
ISSN: 0302-9743
Keywords: Translace obrázků;Generativní adversarialní sítě;Heterogenní rozpoznávání lidské tváře
Keywords in different language: Image-to-image translation;Generative adversarial networks;Heterogeneous face recognition
Abstract in different language: This work presents a novel method for image-to-image translation named X-Bridge. The method is based on a conditional adversarial network. X-Bridge is a supervised method build upon the Pix2pix approach, however, it extends the original system with an additional reconstruction path and a shared-latent space assumption between the original and the reconstruction path. With these modifications, we argue that the qualitative results provided by X-Bridge overcome other state-of-the-art methods in terms of similarity between translated and corresponding images, robustness, generalization capacity, and translated features preservation. This assumption is confirmed with provided quantitative results. We demonstrate the power of this approach on the challenging facial image-to-sketch translation task. Code is available at: https://github.com/YvanG/Cross-modal-Bridge.
Rights: Plný text je přístupný v rámci univerzity přihlášeným uživatelům.
© Springer
Appears in Collections:Konferenční příspěvky / Conference Papers (KKY)
Konferenční příspěvky / Conference papers (NTIS)
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