US 2024/0257316 A1 · APPARATUS AND METHOD OF GUIDED NEURAL NETWORK MODEL FOR IMAGE PROCESSING

Abstract

The present disclosure provides an apparatus and method of guided neural network model for image processing. An apparatus may comprise a guidance map generator, a synthesis network and an accelerator. The guidance map generator may receive a first image as a content image and a second image as a style image, and generate a first plurality of guidance maps and a second plurality of guidance maps, respectively from the first image and the second image. The synthesis network may synthesize the first plurality of guidance maps and the second plurality of guidance maps to determine guidance information. The accelerator may generate an output image by applying the style of the second image to the first image based on the guidance information.

Claims20

Dependent claims

An apparatus comprising:

processor circuitry coupled to a memory, the processor circuitry to:
receive a first image as a content image and a second image as a style image;
generate first guidance maps and second guidance maps, respectively, from the first image and the second image;
synthesize first guidance maps and the second guidance maps to determine guidance information;
and
generate an output image by applying the style of the second image to the first image based on the guidance information.

3 more elements

A method comprising:

receiving, by a processor of a computing device, a first image as a content image and a second image as a style image;
generating first guidance maps and second guidance maps, respectively, from the first image and the second image;
synthesizing first guidance maps and the second guidance maps to determine guidance information;
and
generating an output image by applying the style of the second image to the first image based on the guidance information.

2 more elements

At least one computer-readable medium comprising instructions which, when executed, cause a computing device to perform operations comprising:

receiving, by one or more processors, a first image as a content image and a second image as a style image;
generating first guidance maps and second guidance maps, respectively, from the first image and the second image;
synthesizing first guidance maps and the second guidance maps to determine guidance information;
and
generating an output image by applying the style of the second image to the first image based on the guidance information.

2 more elements

Dependencies are inferred from the claim text.

Facts

Application

18/615,050Filed 25 Mar 2024

Priority

CN 202011562902.625 Dec 2020

Published

1 Aug 2024

Term ends

Not estimatedThe source records don’t support an estimate.

Classification12 codes

G06T 1/20
General purpose image data processing: processor architectures; Processor configuration, e.g. pipelining
G06T 5/50
Image enhancement or restoration: using two or more images, e.g. averaging or subtraction
G06N 3/02
Computing arrangements based on biological models: neural networks
G06T 7/13
Segmentation; Edge detection: edge detection

Apparatus and method of guided neural network model for image processing

Life of this patent

Apparatus and method of guided neural network model for image processing

Life of this patent

Abstract

Claims20