Segmentation Guided Image-to-Image Translation with Adversarial Networks
FG, Volume abs/1901.01569, 2019.
Experimental results have demonstrated that the proposed Segmentation Guided Generative Adversarial Networks framework is effective and promising in face image translation applications
Recently image-to-image translation has received increasing attention, which aims to map images in one domain to another specific one. Existing methods mainly solve this task via a deep generative model, and focus on exploring the relationship between different domains. However, these methods neglect to utilize higher-level and instance-s...More
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