Capítulo de livro Acesso aberto Revisado por pares

Pixel-Level Domain Transfer

2016; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-319-46484-8_31

ISSN

1611-3349

Autores

Donggeun Yoo, Nam Il Kim, Sunggyun Park, Anthony S. Paek, In So Kweon,

Tópico(s)

Advanced Image Processing Techniques

Resumo

We present an image-conditional image generation model. The model transfers an input domain to a target domain in semantic level, and generates the target image in pixel level. To generate realistic target images, we employ the real/fake-discriminator as in Generative Adversarial Nets [6], but also introduce a novel domain-discriminator to make the generated image relevant to the input image. We verify our model through a challenging task of generating a piece of clothing from an input image of a dressed person. We present a high quality clothing dataset containing the two domains, and succeed in demonstrating decent results.

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