AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks

Author:

Hong Kibeom1,Jeon Seogkyu1,Lee Junsoo2,Ahn Namhyuk2,Kim Kunhee3,Lee Pilhyeon1,Kim Daesik2,Uh Youngjung1,Byun Hyeran1

Affiliation:

1. Yonsei University

2. NAVER WEBTOON AI

3. KAIST AI

Publisher

IEEE

Reference42 articles.

1. HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms

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

3. Ultrafast Photorealistic Style Transfer via Neural Architecture Search

4. Artistic style transfer with internal-external learning and contrastive learning;Chen;NeurIPS,2021

5. Fast patch-based style transfer of arbitrary style;Chen

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4. Arbitrary style transfer method with attentional feature distribution matching;Multimedia Systems;2024-03-27

5. Style-Driven Image Enhancement for Entry-Level Mobile Devices;Proceedings of the 2024 7th International Conference on Machine Vision and Applications;2024-03-12

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