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TSIT: A Simple and Versatile Framework for Image-to-Image Translation

By Liming Jiang and others
We introduce a simple and versatile framework for image-to-image translation. We unearth the importance of normalization layers, and provide a carefully designed two-stream generative model with newly proposed feature transformations in a coarse-to-fine fashion. This allows multi-scale semantic structure information and style representation to be effectively captured and fused by... Show more
July 25, 2020
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TSIT: A Simple and Versatile Framework for Image-to-Image Translation
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