DLR-MI/atme
Official pytorch implementation of ATME [CVPR 2023 GMCV]
This project helps computer vision researchers and practitioners transform images from one domain to another, such as converting satellite maps into street views or day scenes into night scenes. You provide a dataset of paired images, and it outputs a model that can generate new images in the target style. This is ideal for those working on generative image tasks.
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Use this if you need to perform high-quality image-to-image translation for tasks like converting sketches to photos, altering facial expressions, or changing environmental conditions in images.
Not ideal if you don't have paired datasets for your image transformation task, as this method requires input images with corresponding output examples.
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Nov 02, 2023
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