genforce/trgan
Unsupervised Image Transformation Learning via Generative Adversarial Networks
This tool helps graphic designers and digital artists quickly apply complex visual changes to images based on examples. You provide a 'source' image and a 'target' image showing the desired change (like changing season or adding clouds), and it then transforms other images to apply that same style or characteristic. This is useful for creative professionals who need to generate variations or explore different visual concepts without manual editing.
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Use this if you need to transfer a specific visual style or semantic change, learned from an example pair, onto new images.
Not ideal if you need precise, pixel-level control over image edits or require transformations that aren't easily encapsulated by an example 'before and after' image.
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MIT
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Last pushed
Oct 05, 2022
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