ATTENTION-BASED IMAGE GENERATION NEURAL NETWORKS

Number of patents in Portfolio can not be more than 2000

United States of America

APP PUB NO 20250118064A1
SERIAL NO

18913134

Stats

ATTORNEY / AGENT: (SPONSORED)

Importance

Loading Importance Indicators... loading....

Abstract

See full text

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output image. In one aspect, one of the methods includes generating the output image intensity value by intensity value according to a generation order of pixel-color channel pairs from the output image, comprising, for each particular generation order position in the generation order: generating a current output image representation of a current output image, processing the current output image representation using a decoder neural network to generate a probability distribution over possible intensity values for the pixel—color channel pair at the particular generation order position, wherein the decoder neural network includes one or more local masked self-attention sub-layers; and selecting an intensity value for the pixel—color channel pair at the particular generation order position using the probability distribution.

Loading the Abstract Image... loading....

First Claim

See full text

Family

Loading Family data... loading....

Patent Owner(s)

Patent OwnerAddress
GOOGLE LLC1600 AMPHITHEATRE PARKWAY MOUNTAIN VIEW CA 94043

International Classification(s)

Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Kaiser, Lukasz Mieczyslaw San Francisco, US 36 238
Parmar, Niki J San Francisco, US 19 92
Shazeer, Noam M Palo Alto, US 66 517
Uszkoreit, Jakob D Berlin, DE 59 200
Vaswani, Ashish Teku San Francisco, US 18 91

Cited Art Landscape

Load Citation

Patent Citation Ranking

Forward Cite Landscape

Load Citation