pytorch-CycleGAN-and-pix2pix and UNIT
About pytorch-CycleGAN-and-pix2pix
junyanz/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
This project helps you transform images from one style or domain to another, like turning horses into zebras or architectural outlines into photorealistic buildings. You provide a collection of images in one style, and it outputs corresponding images in a different style. This is ideal for artists, designers, researchers, or anyone needing to generate diverse image variations or augment datasets.
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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