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arXiv · 1603.07442

Pixel-Level Domain Transfer

Donggeun Yoo·Namil Kim·Sunggyun Park·Anthony S. Paek·In So Kweon
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Abstract

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, 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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Donggeun Yoo, Namil Kim, Sunggyun Park, Anthony S. Paek, In So Kweon. 2016-03-24. Pixel-Level Domain Transfer. https://arxiv.org/abs/1603.07442

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