- 专利标题: Web-based digital image editing in real time utilizing a latent vector stream renderer and an image modification neural network
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申请号: US18449604申请日: 2023-08-14
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公开(公告)号: US12014452B2公开(公告)日: 2024-06-18
- 发明人: 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
- 申请人: Adobe Inc.
- 申请人地址: US CA San Jose
- 专利权人: Adobe Inc.
- 当前专利权人: Adobe Inc.
- 当前专利权人地址: US CA San Jose
- 代理机构: Keller Preece PLLC
- 主分类号: G06T11/60
- IPC分类号: G06T11/60 ; G06N3/04 ; G06T11/20
摘要:
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.
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