All-to-key Attention for Arbitrary Style Transfer
Author:
Affiliation:
1. Xidian University,Xi’an,China
2. The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China
3. Chongqing University of Post and Telecommunications,Chongqing,China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Xidian University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376651.pdf?arnumber=10376651
Reference52 articles.
1. ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows
2. Coherent Online Video Style Transfer
3. StyleBank: An Explicit Representation for Neural Image Style Transfer
4. Fast patch-based style transfer of arbitrary style;Chen,2016
5. Style-Aware Normalized Loss for Improving Arbitrary Style Transfer
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