AGTGAN: Unpaired Image Translation for Photographic Ancient Character Generation-Reference-Cited by-同舟云学术

AGTGAN: Unpaired Image Translation for Photographic Ancient Character Generation

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Huang Hongxiang¹,Yang Daihui¹,Dai Gang¹,Han Zhen²,Wang Yuyi³,Lam Kin-Man⁴,Yang Fan¹,Huang Shuangping⁵,Liu Yongge⁶,He Mengchao⁷

Affiliation:

1. South China University of Technology, Guangzhou, China

2. Ludwig Maximilian University of Munich, Munich, Germany

3. Swiss Federal Institute of Technology, Zurich, Switzerland

4. The Hong Kong Polytechnic University, Hong Kong, China

5. South China University of Technology, Pazhou Laboratory, Guangzhou, China

6. Anyang Normal University, Anyang, China

7. DAMO Academy, Alibaba Group, Hangzhou, China

Funder

Alibaba Innovative Research

Key Realm R&D Program of Guangzhou

GD-NSF

National Nature Science Foundation of China

Guangdong Basic and Applied Basic Research Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3548338

Reference67 articles.

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