sooyeon-go/eye_for_an_eye
Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models
This tool helps you transfer the visual appearance (like colors and textures) from one image onto another, while preserving the second image's original structure. You provide a 'structure' image and an 'appearance' image, and the tool generates a new image where elements like a bird's wing or a car's wheel take on the colors from the corresponding part in the appearance image. This is ideal for artists, designers, or anyone needing to visually re-style existing images with precision.
Use this if you need to precisely repaint an object in an image using the color scheme and textures from a different image, ensuring that specific parts (like a head or a wing) maintain their original structure but adopt the appearance of their semantic counterparts.
Not ideal if you're looking for simple, broad image recoloring or style transfer that doesn't require precise semantic mapping between objects.
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Last pushed
Mar 09, 2026
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