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- W4294203059 abstract "GANs are a very interesting emerging domain. Implementation of the Neural style transfer technique can be done using particular types of these GANs. In this technique, a particular art style is superimposed over a certain image, resulting in the input image looking like a painting in the same style. A similar result can be achieved through manually mixing the input image and a painting using rudimentary image manipulation techniques. The goal of this paper is to analyse the difference between these outputs using a variety of techniques such as Discrete Cosine Transform and Fourier Transform along with others, to observe the amount of difference in the techniques. We conclude with a discussion on how the manually mixed image can be tweaked to most closely resemble the GAN output." @default.
- W4294203059 created "2022-09-02" @default.
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- W4294203059 date "2022-09-02" @default.
- W4294203059 modified "2023-09-30" @default.
- W4294203059 title "Comparison of Image Blending Using Cycle GAN and Traditional Approach" @default.
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- W4294203059 doi "https://doi.org/10.1007/978-981-19-2840-6_44" @default.
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