CAIR: Fast and Lightweight Multi-scale Color Attention Network for Instagram Filter Removal-Reference-Cited by-同舟云学术

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CAIR: Fast and Lightweight Multi-scale Color Attention Network for Instagram Filter Removal

Published:2023 Issue: Volume: Page:714-728
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Yeo Woon-Ha^ORCID,Oh Wang-Taek^ORCID,Kang Kyung-Su^ORCID,Kim Young-Il^ORCID,Ryu Han-Cheol^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-25063-7_45

Reference27 articles.

1. Ba, J.L., Kiros, J.R., Hinton, G.E.: Layer normalization. arXiv preprint arXiv:1607.06450 (2016)

2. Bianco, S., Cusano, C., Piccoli, F., Schettini, R.: Artistic photo filter removal using convolutional neural networks. J. Electron. Imaging 27(1), 011004 (2017)

3. Brooks, T., Mildenhall, B., Xue, T., Chen, J., Sharlet, D., Barron, J.T.: Unprocessing images for learned raw denoising. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 11036–11045 (2019)

4. Chen, L., Chu, X., Zhang, X., Sun, J.: Simple baselines for image restoration. arXiv preprint arXiv:2204.04676 (2022)

5. Chen, Y.H., Chao, T.H., Bai, S.Y., Lin, Y.L., Chen, W.C., Hsu, W.H.: Filter-invariant image classification on social media photos. In: Proceedings of the 23rd ACM international conference on Multimedia, pp. 855–858 (2015)

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FFAFR: Feature Fusion Attention Network for Colorful Filter Removal;2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE);2024-03-01

2. Abnormal Action Recognition in Social Media Clips Using Deep Learning to Analyze Behavioral Change;Lecture Notes in Networks and Systems;2024

3. NTIRE 2023 Image Shadow Removal Challenge Report;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

4. AIM 2022 Challenge on Instagram Filter Removal: Methods and Results;Lecture Notes in Computer Science;2023

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