RIGID: Recurrent GAN inversion and editing of real face videos

• Main Authors: XU, Yangyang, HE, Shengfeng, WONG, Kwan-Yee K., LUO, Pingluo
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Computer Sciences; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/8534; https://ink.library.smu.edu.sg/context/sis_research/article/9537/viewcontent/Xu_RIGID_Recurrent_GAN_Inversion_and_Editing_of_Real_Face_Videos_ICCV_2023_paper__1_.pdf
• Institution: Singapore Management University

GAN inversion is indispensable for applying the powerful editability of GAN to real images. However, existing methods invert video frames individually often leading to undesired inconsistent results over time. In this paper, we propose a unified recurrent framework, named Recurrent vIdeo GAN Inversi...