Invention Publication
- Patent Title: TRANSFERRING FACES BETWEEN DIGITAL IMAGES BY COMBINING LATENT CODES UTILIZING A BLENDING NETWORK
-
Application No.: US17660090Application Date: 2022-04-21
-
Publication No.: US20230342893A1Publication Date: 2023-10-26
- Inventor: Tobias Hinz , Shabnam Ghadar , Richard Zhang , Ratheesh Kalarot , Jingwan Lu , Elya Shechtman
- 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: G06T5/50
- IPC: G06T5/50 ; G06T11/60 ; G06V10/82

Abstract:
The present disclosure relates to systems, non-transitory computer-readable media, and methods for combining digital images. In particular, in one or more embodiments, the disclosed systems combine latent codes of a source digital image and a target digital image utilizing a blending network to determine a combined latent encoding and generate a combined digital image from the combined latent encoding utilizing a generative neural network. In some embodiments, the disclosed systems determine an intersection face mask between the source digital image and the combined digital image utilizing a face segmentation network and combine the source digital image and the combined digital image utilizing the intersection face mask to generate a blended digital image.
Public/Granted literature
- US12211178B2 Transferring faces between digital images by combining latent codes utilizing a blending network Public/Granted day:2025-01-28
Information query