公开(公告)号：US20200081691A1

公开(公告)日：2020-03-12

申请号：US16126849

申请日：2018-09-10

Applicant: Adobe Inc.

Inventor： Nikhil Gupta ,  Shivam Mishra ,  Ashish Anand ,  Arpit Kumar Singh

IPC: G06F8/38 ,  G06N3/04 ,  G06F9/448 ,  G06F3/0484

Abstract: 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.

公开(公告)号：US20230127525A1

公开(公告)日：2023-04-27

申请号：US17512264

申请日：2021-10-27

Applicant: Adobe Inc.

Inventor： Nishant Rai ,  Shivam Mishra ,  Nitesh Jain ,  Nikhil Gupta ,  Anubhav Jain

IPC: G06N3/04

Abstract: The present disclosure describes methods, systems, and non-transitory computer-readable media for implementing a machine learning framework to generate a recommend digital assets from a digital image. For example, in one or more embodiments, the disclosed systems utilize a machine learning model to detect a shape, color, pattern, or other digital asset type from a digital image and then extract (and further modify) the detected asset type to create various different digital assets as recommendations. In some cases, the disclosed system utilizes the machine learning model to determine one or more digital asset classes associated with the digital image, generate preprocessed digital assets from the digital image for those digital asset classes, and generate production-ready digital assets from the preprocessed digital assets. Further, in some instances, the disclosed systems provide one or more of the digital assets via recommendations based on asset scores determined via the generation process.

公开(公告)号：US10732942B2

公开(公告)日：2020-08-04

申请号：US16126849

申请日：2018-09-10

Applicant: Adobe Inc.

Inventor： Nikhil Gupta ,  Shivam Mishra ,  Ashish Anand ,  Arpit Kumar Singh

IPC: G06F9/44 ,  G06F8/38 ,  G06F3/0484 ,  G06F9/448 ,  G06N3/04

Abstract: 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.