Multi-view face synthesis via progressive face flow

Existing GAN-based multi-view face synthesis methods rely heavily on "creating" faces, and thus they struggle in reproducing the faithful facial texture and fail to preserve identity when undergoing a large angle rotation. In this paper, we combat this problem by dividing the challenging l...

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Bibliographic Details
Main Authors: XU, Yangyang, XU, Xuemiao, JIAO, Jianbo, LI, Keke, XU, Cheng, HE, Shengfeng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
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Online Access:https://ink.library.smu.edu.sg/sis_research/7875
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Institution: Singapore Management University
Language: English