Invention Grant
- Patent Title: Utilizing an object relighting neural network to generate digital images illuminated from a target lighting direction
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Application No.: US15970367Application Date: 2018-05-03
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Publication No.: US10692276B2Publication Date: 2020-06-23
- Inventor: Kalyan Sunkavalli , Zexiang Xu , Sunil Hadap
- 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: G06K9/00
- IPC: G06K9/00 ; G06T15/50 ; G06T19/20 ; G06T7/70 ; G06N20/00

Abstract:
The present disclosure relates to using an object relighting neural network to generate digital images portraying objects under target lighting directions based on sets of digital images portraying the objects under other lighting directions. For example, in one or more embodiments, the disclosed systems provide a sparse set of input digital images and a target lighting direction to an object relighting neural network. The disclosed systems then utilize the object relighting neural network to generate a target digital image that portrays the object illuminated by the target lighting direction. Using a plurality of target digital images, each portraying a different target lighting direction, the disclosed systems can also generate a modified digital image portraying the object illuminated by a target lighting configuration that comprises a combination of the different target lighting directions.
Public/Granted literature
Information query