Semantic photo manipulation with a generative image prior

© 2019 Association for Computing Machinery. All rights reserved. Despite the recent success of GANs in synthesizing images conditioned on inputs such as a user sketch, text, or semantic labels, manipulating the highlevel attributes of an existing natural photograph with GANs is challenging for two r...

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Detalhes bibliográficos
Principais autores: Bau, David, Strobelt, Hendrik, Peebles, William, Wulff, Jonas, Zhou, Bolei, Zhu, Jun-Yan, Torralba, Antonio
Outros Autores: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Formato: Artigo
Idioma:English
Publicado em: Association for Computing Machinery (ACM) 2021
Acesso em linha:https://hdl.handle.net/1721.1/136406

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