Publicación:
Ambient lighting generation for flash images with guided conditional adversarial networks

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dc.contributor.author Chávez J. es_PE
dc.contributor.author Mora R. es_PE
dc.contributor.author Cayllahua-Cahuina E. es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2020
dc.description.abstract To cope with the challenges that low light conditions produce in images, photographers tend to use the light provided by the camera flash to get better illumination. Nevertheless, harsh shadows and non-uniform illumination can arise from using a camera flash, especially in low light conditions. Previous studies have focused on normalizing the lighting on flash images; however, to the best of our knowledge, no prior studies have examined the sideways shadows removal, reconstruction of overexposed areas, and the generation of synthetic ambient shadows or natural tone of scene objects. To provide more natural illumination on flash images and ensure high-frequency details, we propose a generative adversarial network in a guided conditional mode. We show that this approach not only generates natural illumination but also attenuates harsh shadows, simultaneously generating synthetic ambient shadows. Our approach achieves promising results on a custom FAID dataset, outperforming our baseline studies. We also analyze the components of our proposal and how they affect the overall performance and discuss the opportunities for future work.
dc.description.sponsorship Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - Concytec
dc.identifier.scopus 2-s2.0-85083578185
dc.identifier.uri https://hdl.handle.net/20.500.12390/2647
dc.language.iso eng
dc.publisher SciTePress
dc.relation.ispartof VISIGRAPP 2020 - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
dc.rights info:eu-repo/semantics/openAccess
dc.subject Illumination
dc.subject Ambient Images es_PE
dc.subject Attention Map es_PE
dc.subject Flash Images es_PE
dc.subject Generative Adversarial Networks es_PE
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#6.05.01
dc.title Ambient lighting generation for flash images with guided conditional adversarial networks
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
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