aitorzip/PyTorch-CycleGAN
A clean and readable Pytorch implementation of CycleGAN
This tool helps convert images from one visual style or domain to another without needing paired examples. For instance, you can transform photos of horses into zebras, or vice-versa, using separate collections of horse and zebra pictures. It takes two distinct sets of images and produces new images that look like they belong to the target domain. This is ideal for researchers or artists exploring image-to-image translation.
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Use this if you need to translate the style or appearance of images between two distinct visual domains where you don't have exact, matching pairs of images for training.
Not ideal if you require precise, pixel-level transformations based on paired examples, or if your image manipulation needs are simple photo editing.
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Language
Python
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GPL-3.0
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Last pushed
Apr 20, 2022
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