Log in
Enquire now
Image Style Transfer

Image Style Transfer

A technique that endow images with selected artistic styles.

OverviewStructured DataIssuesContributors

Contents

TimelineTable: Further ResourcesReferences

Other attributes

Wikidata ID
Q30693467

Image style transfer is an emerging technique which is able to endow images with attractive artistic styles.

Transferring the style from one image onto another can be considered a problem of texture transfer. In texture transfer the goal is to synthesise a texture from a source image while constraining the texture synthesis in order to preserve the semantic content of a target image. There exists some non-parametric algorithms, but they are limited to inform the texture transfer with only low-level image features of the target image. Gatys et al introduced a way to use Convolutional Neural Network (CNN) to separate and recombine the image content and style of natural images by extracting image representations from response layers in VGG networks.

Later Johnson et al proposed a way to train a feed-forward network to approximate the operation. This technique was used by Prisma, an app that let users render any image with the chosen artistic style.

Timeline

No Timeline data yet.

Further Resources

Title
Author
Link
Type
Date
No Further Resources data yet.

References

Find more entities like Image Style Transfer

Use the Golden Query Tool to find similar entities by any field in the Knowledge Graph, including industry, location, and more.
Open Query Tool
Access by API
Golden Query Tool
Golden logo

Company

  • Home
  • Press & Media
  • Blog
  • Careers
  • WE'RE HIRING

Products

  • Knowledge Graph
  • Query Tool
  • Data Requests
  • Knowledge Storage
  • API
  • Pricing
  • Enterprise
  • ChatGPT Plugin

Legal

  • Terms of Service
  • Enterprise Terms of Service
  • Privacy Policy

Help

  • Help center
  • API Documentation
  • Contact Us
By using this site, you agree to our Terms of Service.