Image generation based on multi-channel encoder and dual attention module

Genyuan Zhang D.D.S.; Xiaohua He D.D.S.; Jianhao Ding D.D.S.

doi:10.1117/12.2637361

24 May 2022 Image generation based on multi-channel encoder and dual attention module

Genyuan Zhang D.D.S., Xiaohua He D.D.S., Jianhao Ding D.D.S.

Author Affiliations +

Proceedings Volume 12260, International Conference on Computer Application and Information Security (ICCAIS 2021); 122600V (2022) https://doi.org/10.1117/12.2637361
Event: International Conference on Computer Application and Information Security (ICCAIS 2021), 2021, Wuhan, China

Abstract

Aiming at the requirements of appearance content generation of industrial products, this paper proposes an intelligent appearance product generation network architecture based on multi-channel encoder and dual attention module. Through multiple encoders, our network can learn the semantic information at different levels of the image, and then intelligently generate the appearance product image through the learned semantic information. Our model takes the line diagram as the input and can also input the sample image of the image to be generated. The network can generate appearance products that are consistent with the contour of the line graph and the color of the sample graph. The experimental results of the algorithm are qualitatively and quantitatively evaluated to verify that the algorithm can effectively generate appearance product images with high quality.

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Genyuan Zhang D.D.S., Xiaohua He D.D.S., and Jianhao Ding D.D.S. "Image generation based on multi-channel encoder and dual attention module", Proc. SPIE 12260, International Conference on Computer Application and Information Security (ICCAIS 2021), 122600V (24 May 2022); https://doi.org/10.1117/12.2637361

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