Invention Grant
- Patent Title: Editing digital images utilizing a neural network with an in-network rendering layer
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Application No.: US15448206Application Date: 2017-03-02
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Publication No.: US10430978B2Publication Date: 2019-10-01
- Inventor: Mehmet Yumer , Jimei Yang , Guilin Liu , Duygu Ceylan Aksit
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Keller Jolley Preece
- Main IPC: G06T11/00
- IPC: G06T11/00 ; G06F17/50 ; G06T11/60 ; G06N3/04 ; G06N3/08

Abstract:
The present disclosure includes methods and systems for generating modified digital images utilizing a neural network that includes a rendering layer. In particular, the disclosed systems and methods can train a neural network to decompose an input digital image into intrinsic physical properties (e.g., such as material, illumination, and shape). Moreover, the systems and methods can substitute one of the intrinsic physical properties for a target property (e.g., a modified material, illumination, or shape). The systems and methods can utilize a rendering layer trained to synthesize a digital image to generate a modified digital image based on the target property and the remaining (unsubstituted) intrinsic physical properties. Systems and methods can increase the accuracy of modified digital images by generating modified digital images that realistically reflect a confluence of intrinsic physical properties of an input digital image and target (i.e., modified) properties.
Public/Granted literature
- US20180253869A1 EDITING DIGITAL IMAGES UTILIZING A NEURAL NETWORK WITH AN IN-NETWORK RENDERING LAYER Public/Granted day:2018-09-06
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06T | 一般的图像数据处理或产生 |
G06T11/00 | 2D〔二维〕图像的生成 |