victor369basu/CycleGAN-with-Self-Attention
In this repository, I have developed a CycleGAN architecture with embedded Self-Attention Layers, that could solve three different complex tasks. Here the same principle Neural Network architecture has been used to solve the three different task. Although truth be told, my model has not exceeded any state of the art performances for the given task, but the architecture was powerful enough to understand the task that has been given to solve and produce considerably good results.
This project helps graphic designers, digital artists, or anyone working with facial imagery to transform photos. It takes an input image, like a facial sketch, a male face, or a face with glasses, and outputs a modified image, such as a colored sketch, a feminized face, or a face with glasses removed. This is useful for creative professionals or content creators needing automated image manipulation.
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Use this if you need to quickly colorize sketches, change a male face to a female face, or remove glasses from facial images for creative projects or digital content.
Not ideal if you require state-of-the-art precision or highly nuanced, photorealistic results for professional image retouching.
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Language
Python
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Last pushed
Jan 26, 2022
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