Image color rendering based on frequency channel attention GAN-Reference-Cited by-同舟云学术

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Image color rendering based on frequency channel attention GAN

Published:2024-01-20 Issue:4 Volume:18 Page:3179-3186
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Li Hong-an,Wang Diao,Zhang Min,Liu Jun

Funder

Natural Science Basis Research Plan in Shaanxi Province of China

Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11760-023-02980-7.pdf

Reference33 articles.

1. Afifi, M., Brubaker, M.A., Brown, M.S.: Histogan: Controlling colors of gan-generated and real images via color histograms. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 7941–7950 (2021)

2. Allegra, D., Furnari, G., Gargano, S., et al.: A method to improve the color rendering accuracy in cultural heritage: preliminary results. In: Journal of Physics: Conference Series, p. 012057. IOP Publishing (2022)

3. Bahng, H., Yoo, S., Cho, W., et al.: Coloring with words: guiding image colorization through text-based palette generation. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 431–447 (2018)

4. Goodfellow, I., Pouget-Abadie, J., Mirza, M., et al.: Generative adversarial nets. Adv. Neural Inf. Process. Syst. 27, 2672–2680 (2014)

5. Hong’an, L., Min, Z., Zhuoming, D., et al.: Interactive image color editing method based on block feature. Infrared Laser Eng. 48(12), 293–298 (2019)

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1. Research on Visually Rendering Technology for Images Based on Generative Adversarial Network and OpenCV;2024 International Symposium on Intelligent Robotics and Systems (ISoIRS);2024-06-14

2. A new degradation model and an improved SRGAN for multi-image super-resolution reconstruction;The Imaging Science Journal;2024-03-25

3. Spectrum Attention Mechanism for a Complex Neural Network;IEEE Signal Processing Letters;2024

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