From continuity to editability: Inverting GANs with consecutive images

Existing GAN inversion methods are stuck in a paradox that the inverted codes can either achieve high-fidelity reconstruction, or retain the editing capability. Having only one of them clearly cannot realize real image editing. In this paper, we resolve this paradox by introducing consecutive images...

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Bibliographic Details
Main Authors: XU, Yangyang, DU, Yong, XIAO, Wenpeng, XU, Xuemiao, 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/8528
https://ink.library.smu.edu.sg/context/sis_research/article/9531/viewcontent/From_Continuity_to_Editability__Inverting_GANs_With_Consecutive_Images.pdf
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Institution: Singapore Management University
Language: English