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CVPR2020顶会

Rotate-and-Render: Unsupervised Photorealistic Face Rotation From Single-View Images

Hang Zhou, Jihao Liu, Ziwei Liu, Yu Liu, Xiaogang Wang

2020年份
14顶会引用

摘要

The rotated faces synthesized by our approach on CelebA-HQ dataset. The first row is the input and the second row is our result. It can be observed that our unsupervised framework produces near photo-realistic results even under extreme poses and expressions.

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