Adobe Inc.
Generating modified digital images by identifying digital image patch matches utilizing a Gaussian mixture model

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Abstract:

The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating a modified digital image by identifying patch matches within a digital image utilizing a Gaussian mixture model. For example, the systems described herein can identify sample patches and corresponding matching portions within a digital image. The systems can also identify transformations between the sample patches and the corresponding matching portions. Based on the transformations, the systems can generate a Gaussian mixture model, and the systems can modify a digital image by replacing a target region with target matching portions identified in accordance with the Gaussian mixture model.

Status:
Grant
Type:

Utility

Filling date:

27 Feb 2018

Issue date:

15 Jun 2021