mingyuliutw/UNIT
Unsupervised Image-to-Image Translation
This project transforms an image from one visual style or domain into another, without needing paired examples for training. For instance, you can take a daytime street scene and generate a nighttime version, or change a dog's breed in a photo. It takes a collection of images from a source domain and a collection from a target domain, and outputs translated images. This tool is useful for artists, designers, or visual content creators who need to generate diverse image variations or augment datasets.
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Use this if you need to translate the visual style or characteristics of images from one domain to another (e.g., snowy to summery, day to night, or changing animal breeds) and don't have exact 'before and after' image pairs for training.
Not ideal if you need a more performant implementation or multimodal (many-to-many) image translation, in which case the MUNIT or Imaginaire projects might be better suited.
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Python
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Sep 02, 2021
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