Invention Grant
- Patent Title: Enhanced image processing techniques for deep neural networks
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Application No.: US16794824Application Date: 2020-02-19
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Publication No.: US11367163B2Publication Date: 2022-06-21
- Inventor: Francesco Rossi , Marco Zuliani , Bartlomiej W. Rymkowski , Albert Antony , Brian P. Keene , Xiaojin Shi
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: Blank Rome LLP
- Main IPC: G06T3/40
- IPC: G06T3/40 ; G06T11/60 ; G06N3/04

Abstract:
Artistic styles extracted from source images may be applied to target images to generate stylized images and/or video sequences. The extracted artistic styles may be stored as a plurality of layers in one or more neural networks, which neural networks may be further optimized, e.g., via the fusion of various elements of the networks' architectures. The artistic style may be applied to the target images and/or video sequences using various optimization methods, such as the use of a first version of the neural network by a first processing device at a first resolution to generate one or more sets of parameters (e.g., scaling and/or biasing parameters), which parameters may then be mapped for use by a second version of the neural network by a second processing device at a second resolution. Analogous multi-processing device and/or multi-network solutions may also be applied to other complex image processing tasks for increased efficiency.
Public/Granted literature
- US20200380639A1 Enhanced Image Processing Techniques for Deep Neural Networks Public/Granted day:2020-12-03
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