Title : Appearance Transfer
link : Appearance Transfer
Appearance Transfer
Computer networks are able to generate photographically realistic images from a simple written description. They can recognize and distinguish the various elements in a photo. And they can alter the weather or the time of day in a video clip.In this post, we'll see how they can start with a simple outline drawing and complete it to match the appearance of another object. So, for example, a line drawing of a purse can be rendered to match the color scheme of a shoe.
The input is a simple outline drawing of a handbag (top row). The network fills them in using the colors from a photo of a shoe (left-most image).
Even more remarkably, the system can start with the basic input of a mannikin pose (top row), and then transfer to that pose the appearance of a photo of a model in a completely different pose. The system will generate a plausibly photographic image of that model in the desired pose.
This video by Two Minute Papers summarizes the research (Link to YouTube)
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Scientific paper: A VARIATIONAL U-NET FOR CONDITIONAL APPEARANCE AND SHAPE GENERATION
Previously: Text to Image Synthesis
Image Translation
Semantic Image Mapping
Thus Article Appearance Transfer
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