公开(公告)号：US20240135492A1

公开(公告)日：2024-04-25

申请号：US18379519

申请日：2023-10-12

Applicant: Google LLC

Inventor： Cristina Nader Vasconcelos ,  Ahmet Cengiz Oztireli ,  Andrea Tagliasacchi ,  Kevin Jordan Swersky ,  Mark Jeffrey Matthews ,  Milad Olia Hashemi

IPC: G06T3/40 ,  G06T5/20 ,  G06V10/771

CPC classification number: G06T3/4053 ,  G06T5/20 ,  G06V10/771 ,  G06T2207/10024 ,  G06T2207/20084

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing an input image using a super-resolution neural network to generate an up-sampled image that is a higher resolution version of the input image. In one aspect, a method comprises: processing the input image using an encoder subnetwork of the super-resolution neural network to generate a feature map; generating an updated feature map, comprising, for each spatial position in the updated feature map: applying a convolutional filter to the feature map to generate a plurality of features corresponding to the spatial position in the updated feature map, wherein the convolutional filter is parametrized by a set of convolutional filter parameters that are generated by processing data representing the spatial position using a hyper neural network; and processing the updated feature map using a projection subnetwork of the super-resolution neural network to generate the up-sampled image.