Adobe, Inc.

Darshan D Prasad

Zhihong Ding

Zhe Lin

Scott David Cohen

Gregg Darryl Wilensky

Walter Chang

Lubomira A Dontcheva

Zhifei Zhang

Claudia Veronica Roberts

The present disclosure relates to systems, non-transitory computer-readable media, and methods for transferring global style features between digital images utilizing one or more machine learning models or neural networks. In particular, in one or more embodiments, the disclosed systems receive a request to transfer a global style from a source digital image to a target digital image, identify at least one target object within the target digital image, and transfer the global style from the source digital image to the target digital image while maintaining an object style of the at least one target object.

Applying object-aware style transfer to digital images

A tutorial for a given application may be leveraged to generate executable code that can then be executed within a native instruction service of the application. In this way, a software application may thus provide an integrated, interactive learning experience for a user, in a manner that extends beyond the instructional content included in the native instruction service, i.e., that includes at least a portion of the instructional content of the tutorial.

Interactive tutorial integration

Growing community of inventors

San Jose, CA, United States of America

Darshan D Prasad