Edge device pose-guided portrait generator
AssigneeSnap Inc.
InventorsAleksandr Belskikh, Lucas Anton Christoph Deecke, Marija Jegorova, Dmitrii Smoliakov
Life of this patent
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AssigneeSnap Inc.
InventorsAleksandr Belskikh, Lucas Anton Christoph Deecke, Marija Jegorova, Dmitrii Smoliakov
Estimating the term…
Examples relate to image generation and processing technologies for transforming digital photographs into stylized portraits using on-device machine learning. A system preprocesses an input image containing a view of a face to generate a pose and face image by combining a cropped view of the face with a visual representation of a body pose. An edge device model processes the pose and face image to generate a portrait having a predetermined portrait style and comprising a stylized depiction of the face along with a posed body portion. The edge device model is trained using distillation techniques to establish relationships between training inputs comprising pose and face images and corresponding training targets comprising portraits having the portrait style. The system enhances the generated portrait to improve correspondence between the face in the input image and the stylized depiction in the portrait through on-device or backend processing.
A system comprising:
A method comprising:
A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by at least one processor of a system, cause the system to perform operations comprising:
Dependencies are inferred from the claim text.