Image-to-image translation via disentangled representations with invertible neural network-Reference-Cited by-同舟云学术

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Image-to-image translation via disentangled representations with invertible neural network

Published:2024-04-19 Issue: Volume:13 Page:12-15
ISSN:
Container-title:2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL)
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Author:

Gao Canghai¹,Li Bo²,He Zhifen³,Li Yike¹

Affiliation:

1. Nanchang Hangkong University,School of Information Engineering,Nanchang,Jiangxi,China

2. Nanchang Hangkong University,School of Mathematics and Information Science,Nanchang,Jiangxi,China

3. Nanchang Hangkong University,School of Mathematics and Information Science,Nanchang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10603448/10603453/10604241.pdf?arnumber=10604241

Reference14 articles.

1. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

2. ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows

3. DRIT++: Diverse Image-to-Image Translation via Disentangled Representations

4. CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency

5. Cycada: Cycle-consistent adversarial domain adaptation;Hoffman

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