Invention Publication
- Patent Title: DISENTANGLING LATENT REPRESENTATIONS FOR IMAGE REENACTMENT
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Application No.: US17455318Application Date: 2021-11-17
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Publication No.: US20230154088A1Publication Date: 2023-05-18
- Inventor: Kevin Duarte , Wei-An Lin , Ratheesh Kalarot , Shabnam Ghadar , Jingwan Lu , Elya Shechtman , John Thomas Nack
- Applicant: ADOBE INC.
- Applicant Address: US CA SAN JOSE
- Assignee: ADOBE INC.
- Current Assignee: ADOBE INC.
- Current Assignee Address: US CA SAN JOSE
- Main IPC: G06T13/40
- IPC: G06T13/40 ; G06T5/50 ; G06N3/04

Abstract:
Systems and methods for image processing are described. Embodiments of the present disclosure encode features of a source image to obtain a source appearance encoding that represents inherent attributes of a face in the source image; encode features of a target image to obtain a target non-appearance encoding that represents contextual attributes of the target image; combine the source appearance encoding and the target non-appearance encoding to obtain combined image features; and generate a modified target image based on the combined image features, wherein the modified target image includes the inherent attributes of the face in the source image together with the contextual attributes of the target image.
Public/Granted literature
- US11900519B2 Disentangling latent representations for image reenactment Public/Granted day:2024-02-13
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