A Scale-Arbitrary Network for Chinese Painting Super-Resolution

Author:

Wu Yuekun1ORCID,Zhou Yue1ORCID,Xu Kun1ORCID

Affiliation:

1. State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, China

Publisher

ACM

Reference12 articles.

1. Ying Liu , Yangge Qiao, Yu Hao , Fuping Wang, and Sheikh Faisal Rashid , "Single Image Super Resolution Techniques Based on Deep Learning: Status, Applications and Future Directions," Journal of Image and Graphics , Vol. 9 , No. 3 , pp. 74 - 86 , September 2021 . doi: 10.18178 Ying Liu, Yangge Qiao, Yu Hao, Fuping Wang, and Sheikh Faisal Rashid, "Single Image Super Resolution Techniques Based on Deep Learning: Status, Applications and Future Directions," Journal of Image and Graphics, Vol. 9, No. 3, pp. 74-86, September 2021. doi: 10.18178

2. Learning A Single Network for Scale-Arbitrary Super-Resolution

3. Meta-SR: A Magnification-Arbitrary Network for Super-Resolution

4. Texture Hallucination for Large-Factor Painting Super-Resolution

5. Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution

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1. HDMA-CGAN: Advancing Image Style Transfer with Deep Learning;International Journal of Pattern Recognition and Artificial Intelligence;2024-06-29

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