Unpaired Artistic Portrait Style Transfer via Asymmetric Double-Stream GAN
Author:
Affiliation:
1. School of Information Science and Engineering, Yunnan University, Kunming, China
2. School of IT and Mathematical Sciences, University of South Australia, Adelaide, SA, Australia
3. School of Automation, Southeast University, Nanjing, China
Funder
National Science and Technology Foundation of China
Key Project of Applied Basic Research Program of Yunnan Provincial Department of Science and Technology
Major Science and Technology Special Project in Yunnan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software
Link
http://xplorestaging.ieee.org/ielx7/5962385/10237282/10184919.pdf?arnumber=10184919
Reference53 articles.
1. Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping
2. APDrawingGAN: Generating Artistic Portrait Drawings From Face Photos With Hierarchical GANs
3. Dual-Affinity Style Embedding Network for Semantic-Aligned Image Style Transfer
4. Image Style Transfer Using Convolutional Neural Networks
5. Learning Linear Transformations for Fast Image and Video Style Transfer
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