Parsing-Conditioned Anime Translation: A New Dataset and Method

• Main Authors: LI, Zhansheng, XU, Yangyang, ZHAO, Nanxuan, ZHOU, Yang, LIU, Yongtuo, LIN, Dahua, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Abstract arts; Aggregation methods; Anchorings; Feasible solution; Image editing; Image translation; Image-to-image translation; Labeled images; Prior-knowledge; Two domains; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8434; https://ink.library.smu.edu.sg/context/sis_research/article/9437/viewcontent/Parsing_Conditioned_Anime_Translation__A_New_Dataset_and_Method.pdf
• Institution: Singapore Management University

Anime is an abstract art form that is substantially different from the human portrait, leading to a challenging misaligned image translation problem that is beyond the capability of existing methods. This can be boiled down to a highly ambiguous unconstrained translation between two domains. To this...