Spatially-invariant style-codes controlled makeup transfer

Transferring makeup from the misaligned reference image is challenging. Previous methods overcome this barrier by computing pixel-wise correspondences between two images, which is inaccurate and computational-expensive. In this paper, we take a different perspective to break down the makeup transfer...

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Main Authors: DENG, Han, HAN, Chu, CAI, Hongmin, HAN, Guoqiang, HE, Shengfeng
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2021
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在線閱讀:https://ink.library.smu.edu.sg/sis_research/8526
https://ink.library.smu.edu.sg/context/sis_research/article/9529/viewcontent/Spatially_Invariant_Style_Codes_Controlled_Makeup_Transfer.pdf
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