UCCTGAN: Unsupervised Clothing Color Transformation Generative Adversarial Network

Clothing color transformation refers to changing the clothes color in an original image to the clothes color in a target image. In this paper, we propose an Unsupervised Clothing Color Transformation Generative Adversarial Network (UCCTGAN) for the task. UCCTGAN adopts the color histogram of a targe...

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Bibliographic Details
Published in2020 25th International Conference on Pattern Recognition (ICPR) pp. 1582 - 1589
Main Authors Sun, Shuming, Li, Xiaoqiang, Li, Jide
Format Conference Proceeding
LanguageEnglish
Published IEEE 10.01.2021
Subjects
Feature extraction
Fuses
Generative adversarial networks
Histograms
Image color analysis
Linear programming
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Summary:Clothing color transformation refers to changing the clothes color in an original image to the clothes color in a target image. In this paper, we propose an Unsupervised Clothing Color Transformation Generative Adversarial Network (UCCTGAN) for the task. UCCTGAN adopts the color histogram of a target clothes as color guidance and an improved U-net architecture called AntennaNet is put forward to fuse the extracted color information with the original image. Meanwhile, to accomplish unsupervised learning, the loss function is carefully designed according to color moment, which evaluates the chromatic aberration between the target clothing and the generated clothing. Experimental results show that our network has the ability to generate convincing color transformation results.
DOI:10.1109/ICPR48806.2021.9412002