公开(公告)号：US10692265B2

公开(公告)日：2020-06-23

申请号：US16676733

申请日：2019-11-07

Applicant: Adobe Inc.

Inventor： Sunil Hadap ,  Elya Shechtman ,  Zhixin Shu ,  Kalyan Sunkavalli ,  Mehmet Yumer

IPC: G06K9/62 ,  G06T11/60 ,  G06T5/00 ,  G06N3/04 ,  G06N3/08

Abstract: 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.

公开(公告)号：US20200090389A1

公开(公告)日：2020-03-19

申请号：US16676733

申请日：2019-11-07

Applicant: Adobe Inc.

Inventor： Sunil Hadap ,  Elya Shechtman ,  Zhixin Shu ,  Kalyan Sunkavalli ,  Mehmet Yumer

IPC: G06T11/60 ,  G06N3/04 ,  G06N3/08 ,  G06T5/00

Abstract: 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.