MUNIT and UNIT
About MUNIT
NVlabs/MUNIT
Multimodal Unsupervised Image-to-Image Translation
This project helps graphic designers, digital artists, or researchers transform images from one visual domain to another, even when there isn't a direct pairing between the original and desired styles. For example, you can input a summer landscape and get a winter version, or turn a drawing of edges into a realistic shoe photo. This is useful for anyone needing to generate diverse visual content or explore different stylistic representations of existing images.
About UNIT
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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