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Mingyang Huang

2 accepted papers

2020

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

ECCV 2020poster

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 stru…

2019

Towards Instance-Level Image-To-Image Translation

CVPR 2019poster

Unpaired Image-to-image Translation is a new rising and challenging vision problem that aims to learn a mapping between unaligned image pairs in diverse domains. Recent advances in this field like MUNIT and DRIT mainly focus on disentangling content and style/attribute from a given image first, then…

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