Invention Grant
- Patent Title: Generating images using neural networks
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Application No.: US17198096Application Date: 2021-03-10
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Publication No.: US11462034B2Publication Date: 2022-10-04
- Inventor: Aaron Gerard Antonius van den Oord , Nal Emmerich Kalchbrenner , Karen Simonyan
- Applicant: DeepMind Technologies Limited
- Applicant Address: GB London
- Assignee: DeepMind Technologies Limited
- Current Assignee: DeepMind Technologies Limited
- Current Assignee Address: GB London
- Agency: Fish & Richardson P.C.
- Main IPC: G06V30/194
- IPC: G06V30/194 ; G06N3/04 ; G06N3/08 ; H04N19/52 ; H04N19/50 ; G06V10/56 ; H04N19/186 ; H04N19/172 ; H04N19/182 ; G06K9/62

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating images using neural networks. One of the methods includes generating the output image pixel by pixel from a sequence of pixels taken from the output image, comprising, for each pixel in the output image, generating a respective score distribution over a discrete set of possible color values for each of the plurality of color channels.
Public/Granted literature
- US20210192298A1 GENERATING IMAGES USING NEURAL NETWORKS Public/Granted day:2021-06-24
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