Adobe, Inc.

Ashish Anand

Paul A George

Deep Sinha

Robert S Sargent

Frank Stokes-Guinan

Nikhil Gupta

Abhishek Garg

William Eisley

Sandeep Pradhan

Shivam Mishra

Puneet Gupta

Arpit Kumar Singh

Harjot Singh

Techniques and systems are provided for performing drawing tool identification and retrieval. For instance, based on a user creating content within a digital image using a drawing tool, a drawing tool-retrieval system may determine a unique identifier corresponding to the drawing tool. The identifier may indicate the type of the drawing tool, as well as any configurable settings of the drawing tool selected by the user. The drawing tool-retrieval system can store the identifier in association with pixels corresponding to the content. When the user wishes to use the drawing tool again, the user can provide a drawing tool-picking input that includes selection of a pixel corresponding to the content. In response to the drawing tool-picking input, the drawing tool-retrieval system can obtain the identifier of the drawing tool and then activate the drawing tool to enable the user to edit the image with the drawing tool.

Drawing tool identification and retrieval

Methods, systems, and non-transitory computer readable storage media are disclosed for losslessly exchanging image layer data between image applications by generating an edit-restricted layer for one image application to represent an incompatible or unsupported image layer from another image application. For example, the disclosed system can determine that one or more image layers in a layered image file formatted for a layered image application include characteristics incompatible (e.g., unsupported) with a feature-restricted image application. The disclosed system can then generate an edit-restricted image layer representing the image layer(s) in the feature-restricted image application by limiting or preventing edit operations to the edit-restricted layer as a type of preview object. The disclosed system can also store image layer data from the feature-restricted image application back to the layered image file for viewing and editing in the layered image application without loss of image layer data corresponding to the edit-restricted layer.

Losslessly exchanging image layer data between image editing applications

This disclosure relates to methods, non-transitory computer readable media, and systems that use a design-component-neural network to categorize a design component from an interface-design file as a platform widget corresponding to a particular computing platform. Having categorized the design component as a platform widget, in certain implementations, the disclosed systems compare and validate properties of the design component against user-interface guidelines for the particular computing platform. Upon determining that the design component does not comply with a user-interface guideline, the systems can provide and implement options to modify the design component to comply with the user-interface guideline.

Automatically categorizing and validating user-interface-design components using a design-component-neural network

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Noida, India

Ashish Anand