SwinIT: Hierarchical Image-to-Image Translation Framework Without Cycle Consistency
Author:
Affiliation:
1. Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China
2. Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA
Funder
NSFC
National Key Research and Development Program of China
Beijing Nova Program
Innovation Research Group Project of NSFC
111 Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/76/10582818/10399932.pdf?arnumber=10399932
Reference84 articles.
1. Semantic Image Synthesis With Spatially-Adaptive Normalization
2. StarGAN v2: Diverse Image Synthesis for Multiple Domains
3. Density-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement
4. DCDR-GAN: A Densely Connected Disentangled Representation Generative Adversarial Network for Infrared and Visible Image Fusion
5. Multi-Grained Attention Networks for Single Image Super-Resolution
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