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US Patent 11367163 Enhanced image processing techniques for deep neural networks

Patent 11367163 was granted and assigned to Apple (company) on June, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Apple (company)
Apple (company)
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Current Assignee
Apple (company)
Apple (company)
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
113671630
Patent Inventor Names
Albert Antony0
Bartlomiej W. Rymkowski0
Brian P. Keene0
Francesco Rossi0
Marco Zuliani0
Xiaojin Shi0
Date of Patent
June 21, 2022
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Patent Application Number
167948240
Date Filed
February 19, 2020
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Patent Citations
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US Patent 10891723 Realistic neural network based image style transfer
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US Patent 10565757 Multimodal style-transfer network for applying style features from multi-resolution style exemplars to input images
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US Patent 10535164 Stylizing input images
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US Patent 10664718 Real-time adjustment of hybrid DNN style transfer networks
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US Patent 10740939 Fast image style transfers
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US Patent 10769492 Unsupervised visual attribute transfer through reconfigurable image translation
Patent Primary Examiner
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Andrae S Allison
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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.

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