Adobe, Inc.

Piotr Walczyszyn

Jingwan Lu

Baldo Antonio Faieta

Shabnam Ghadar

Holger Winnemoeller

Ratheesh Kalarot

Cameron Smith

Christian Thomas Cantrell

Wei-An Lin

Akhilesh Kumar

Wilson Chan

Archie Samuel Bagnall

Patrick James Hebron

Sven Olsen

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.

Web-based digital image editing in real time utilizing a latent vector stream renderer and an image modification neural network

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Warsaw, Poland

Piotr Walczyszyn