Visual Attribute Transfer through Deep Image Analogy

Understand

We propose a new technique for visual attribute transfer across images that may have very different appearance but have perceptually similar semantic structure.

• By visual attribute transfer, we mean transfer of visual information (such as color, tone, texture, and style) from one image to another.
• For example, one image could be that of a painting or a sketch while the other is a photo of a real scene, and both depict the same type of scene.
• Our technique finds semantically-meaningful dense correspondences between two input images.