Image Colorization using Generative Adversarial Network
Published in Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 2022
A novel lightweight GAN pipeline for automatic image colorization with YUV-channel separation technique, improving structural fidelity and perceptual sharpness.
Recommended citation: Erxi Cheng, Ruiqian Ma, Ruichen Qi, Yupeng Tang. (2022). "Image colorization using generative adversarial network." Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122943Z (19 October 2022).
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