Image domain conversion using CycleGAN

버전 1.0 (44.8 MB) 작성자: Takuji Fukumoto
MATLAB example of deep learning for image domain conversion
다운로드 수: 455
업데이트 날짜: 2020/6/11

This example shows how to convert images from one domain into another using CycleGAN
CycleGAN is a GAN model that is generally used for the following purposes.
-Style transfer (images and paintings)
-Season conversion
-Day / night conversion
-Object transformation
The difference from Pix2Pix, which also perform image-image conversion, is that CycleGAN uses unsupervised learning, so there is no need for a paired image dataset. In this example, even with unsupervised learning, you can see the model convert the images by understanding whether the fruit was a whole one or a cut one.



인용 양식

Takuji Fukumoto (2024). Image domain conversion using CycleGAN (, GitHub. 검색됨 .

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개발 환경: R2020a
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