Pseudo-Supervised Learning for Semantic Multi-Style Transfer

Kim, S; Do, J; Kim, M

Kim, M (corresponding author), Korea Adv Inst Sci & Technol, Sch Elect Engn, Daejeon 34141, South Korea.

IEEE ACCESS, 2021; 9 (): 7930

Abstract

Numerous methods for style transfer have been developed using unsupervised learning and gained impressive results. However, optimal style transfer can......

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