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AssigneeAdobe Inc.
InventorsSunil Hadap, Elya Shechtman, Zhixin Shu, Kalyan Sunkavalli, Mehmet Yumer
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Techniques are disclosed for performing manipulation of facial images using an artificial neural network. A facial rendering and generation network and method learns one or more compact, meaningful manifolds of facial appearance, by disentanglement of a facial image into intrinsic facial properties, and enables facial edits by traversing paths of such manifold(s). The facial rendering and generation network is able to handle a much wider range of manipulations including changes to, for example, viewpoint, lighting, expression, and even higher-level attributes like facial hair and age—aspects that cannot be represented using previous models.
A neural network architecture for manipulating a facial image, the architecture comprising:
A computer program product including one or more non-transitory computer readable mediums encoded with instructions that when executed by one or more processors cause operations of a neural network architecture to be carried out, the operations comprising:
A method for manipulating a facial image, the method comprising:
Dependencies are inferred from the claim text.