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公开(公告)号：US11361403B2
公开(公告)日：2022-06-14
申请号：US16324061
申请日：2018-02-26
Applicant: DeepMind Technologies Limited
Inventor： Nal Emmerich Kalchbrenner , Daniel Belov , Sergio Gomez Colmenarejo , Aaron Gerard Antonius van den Oord , Ziyu Wang , Joao Ferdinando Gomes de Freitas , Scott Ellison Reed
Abstract: A method of generating an output image having an output resolution of N pixels×N pixels, each pixel in the output image having a respective color value for each of a plurality of color channels, the method comprising: obtaining a low-resolution version of the output image; and upscaling the low-resolution version of the output image to generate the output image having the output resolution by repeatedly performing the following operations: obtaining a current version of the output image having a current K×K resolution; and processing the current version of the output image using a set of convolutional neural networks that are specific to the current resolution to generate an updated version of the output image having a 2K×2K resolution.
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公开(公告)号：US11734797B2
公开(公告)日：2023-08-22
申请号：US17751359
申请日：2022-05-23
Applicant: DeepMind Technologies Limited
Inventor： Nal Emmerich Kalchbrenner , Daniel Belov , Sergio Gomez Colmenarejo , Aaron Gerard Antonius van den Oord , Ziyu Wang , Joao Ferdinando Gomes de Freitas , Scott Ellison Reed
CPC classification number: G06T3/4046 , G06N3/045 , G06N20/00 , G06T3/4076
Abstract: A method of generating an output image having an output resolution of N pixels×N pixels, each pixel in the output image having a respective color value for each of a plurality of color channels, the method comprising: obtaining a low-resolution version of the output image; and upscaling the low-resolution version of the output image to generate the output image having the output resolution by repeatedly performing the following operations: obtaining a current version of the output image having a current K×K resolution; and processing the current version of the output image using a set of convolutional neural networks that are specific to the current resolution to generate an updated version of the output image having a 2K×2K resolution.
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公开(公告)号：US20220284546A1
公开(公告)日：2022-09-08
申请号：US17751359
申请日：2022-05-23
Applicant: DeepMind Technologies Limited
Inventor： Nal Emmerich Kalchbrenner , Daniel Belov , Sergio Gomez Colmenarejo , Aaron Gerard Antonius van den Oord , Ziyu Wang , Joao Ferdinando Gomes de Freitas , Scott Ellison Reed
Abstract: A method of generating an output image having an output resolution of N pixels×N pixels, each pixel in the output image having a respective color value for each of a plurality of color channels, the method comprising: obtaining a low-resolution version of the output image; and upscaling the low-resolution version of the output image to generate the output image having the output resolution by repeatedly performing the following operations: obtaining a current version of the output image having a current K×K resolution; and processing the current version of the output image using a set of convolutional neural networks that are specific to the current resolution to generate an updated version of the output image having a 2K×2K resolution.
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公开(公告)号：US20210027425A1
公开(公告)日：2021-01-28
申请号：US16324061
申请日：2018-02-26
Applicant: DeepMind Technologies Limited
Inventor： Nal Emmerich Kalchbrenner , Daniel Belov , Sergio Gomez Colmenarejo , Aaron Gerard Antonius van den Oord , Ziyu Wang , Joao Gomes de Freitas , Scott Ellison Reed
Abstract: A method of generating an output image having an output resolution of N pixels×N pixels, each pixel in the output image having a respective color value for each of a plurality of color channels, the method comprising: obtaining a low-resolution version of the output image; and upscaling the low-resolution version of the output image to generate the output image having the output resolution by repeatedly performing the following operations: obtaining a current version of the output image having a current K×K resolution; and processing the current version of the output image using a set of convolutional neural networks that are specific to the current resolution to generate an updated version of the output image having a 2K×2K resolution.
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