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Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow
Author(s) -
Kaihong Wang,
Kumar Akash,
Teruhisa Misu
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i3.20148
Subject(s) - computer science , consistency (knowledge bases) , optical flow , regularization (linguistics) , artificial intelligence , translation (biology) , motion (physics) , motion estimation , code (set theory) , synthetic data , computer vision , source code , machine learning , image (mathematics) , biochemistry , chemistry , set (abstract data type) , messenger rna , gene , programming language , operating system

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