UTILIZING AN OBJECT RELIGHTING NEURAL NETWORK TO GENERATE DIGITAL IMAGES ILLUMINATED FROM A TARGET LIGHTING DIRECTION
Patent №
US 10,692,276
Granted
2020-06-23
Filed 2018
Owner
ADOBE SYSTEMS INCORPORATED
Lab
—
AI components
3
ml · vision · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
15970367
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.
AI classification
Ownership
ADOBE SYSTEMS INCORPORATED
assignment · 457090332
Assignors
SUNKAVALLI, KALYAN, XU, ZEXIANG, HADAP, SUNIL
On an employer assignment, the assignors are typically the inventors.