Invention Application
- Patent Title: WEB-BASED DIGITAL IMAGE EDITING IN REAL TIME UTILIZING A LATENT VECTOR STREAM RENDERER AND AN IMAGE MODIFICATION NEURAL NETWORK
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Application No.: US17182492Application Date: 2021-02-23
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Publication No.: US20220270310A1Publication Date: 2022-08-25
- Inventor: Akhilesh Kumar , Baldo Faieta , Piotr Walczyszyn , Ratheesh Kalarot , Archie Bagnall , Shabnam Ghadar , Wei-An Lin , Cameron Smith , Christian Cantrell , Patrick Hebron , Wilson Chan , Jingwan Lu , Holger Winnemoeller , Sven Olsen
- 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: G06T11/60
- IPC: G06T11/60 ; G06N3/04 ; G06T11/20

Abstract:
The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image.
Public/Granted literature
Information query