Pixel-Level Domain Transfer
2016; Springer Science+Business Media; Linguagem: Inglês
10.1007/978-3-319-46484-8_31
ISSN1611-3349
AutoresDonggeun Yoo, Nam Il Kim, Sunggyun Park, Anthony S. Paek, In So Kweon,
Tópico(s)Advanced Image Processing Techniques
ResumoWe 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.
Referência(s)