Invention Grant
- Patent Title: Image processing network search for deep image priors
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Application No.: US16796878Application Date: 2020-02-20
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Publication No.: US11966849B2Publication Date: 2024-04-23
- Inventor: John Collomosse , Hailin Jin
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Nicholson De Vos Webster & Elliott LLP
- Main IPC: G06N3/086
- IPC: G06N3/086 ; G06N3/045 ; G06N3/048

Abstract:
Techniques and systems are provided for configuring neural networks to perform certain image manipulation operations. For instance, in response to obtaining an image for manipulation, an image manipulation system determines the fitness scores for a set of neural networks resulting from the processing of a noise map. Based on these fitness scores, the image manipulation system selects a subset of the set of neural networks for cross-breeding into a new generation of neural networks. The image manipulation system evaluates the performance of this new generation of neural networks and continues cross-breeding this neural networks until a fitness threshold is satisfied. From the final generation of neural networks, the image manipulation system selects a neural network that provides a desired output and uses the neural network to generate the manipulated image.
Public/Granted literature
- US20210264282A1 IMAGE PROCESSING NETWORK SEARCH FOR DEEP IMAGE PRIORS Public/Granted day:2021-08-26
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