Adobe, Inc.

Thomas Muehrke

Zhe Lin

Scott David Cohen

Jianming Zhang

Jonathan Worthen Brandt

Geoffrey Charles Dowd

Zhihong Ding

Andreas Wurf

Matthew Joss

Celso Gomes

Darshan Prasad

Michael Zimmermann

Olena Soroka

The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For instance, in one or more embodiments, the disclosed systems generate utilizing a segmentation neural network, an object mask for each object of a plurality of objects of a digital image. The disclosed systems detect a first user interaction with an object in the digital image displayed via a graphical user interface. The disclosed systems surface, via the graphical user interface, the object mask for the object in response to the first user interaction. The disclosed systems perform an object-aware modification of the digital image in response to a second user interaction with the object mask for the object.

Modifying digital images via scene-based editing using image understanding facilitated by artificial intelligence

In response to receiving, by an image editing application, selection of a layer from an image comprising at least two layers, selecting the layer in the image editing application. A view from a camera may be rendered by the image editing application in at least a portion of the selected layer. In response to receiving, by the image editing application, an input indicating that the view from the camera should be captured, the view from the camera can be captured. The captured view from the camera may be inserted into the at least the portion of the selected layer by the image editing application.

Systems and methods for live view photo layer in digital imaging applications

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Hamburg, Germany

Thomas Muehrke