Publicación:
Exploring double cross cyclic interpolation in unpaired image-to-image translation

dc.contributor.author Lopez J. es_PE
dc.contributor.author Mauricio A. es_PE
dc.contributor.author Camara G. es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2019
dc.description.abstract The unpaired image-to-image translation consists of transferring a sample a in the domain A to an analog sample b in the domain B without intensive pixel-to-pixel supervision. The current vision focuses on learning a generative function that maps both domains but ignoring the latent information, although its exploration is not explicit supervision. This paper proposes a cross-domain GAN-based model to achieve a bi-directional translation guided by latent space supervision. The proposed architecture provides a double-loop cyclic reconstruction loss in an exchangeable training adopted to reduce mode collapse and enhance local details. Our proposal has outstanding results in visual quality, stability, and pixel-level segmentation metrics over different public datasets.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.doi https://doi.org/10.1109/SIBGRAPI.2019.00025
dc.identifier.scopus 2-s2.0-85077031640
dc.identifier.uri https://hdl.handle.net/20.500.12390/2695
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof Proceedings - 32nd Conference on Graphics, Patterns and Images, SIBGRAPI 2019
dc.rights info:eu-repo/semantics/openAccess
dc.subject Unpaired Image to Image Translation
dc.subject Cross domain interpolation es_PE
dc.subject Latent space exploration es_PE
dc.subject.ocde http://purl.org/pe-repo/ocde/ford#2.02.03
dc.title Exploring double cross cyclic interpolation in unpaired image-to-image translation
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
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