PofoliaShared via Pofolia

· 2016

Image Style Transfer Using Convolutional Neural Networks

Leon A. Gatys, Alexander S. Ecker, Matthias Bethge

Short summary

A novel algorithm separates and recombines image content and style using representations from Convolutional Neural Networks (CNNs), producing new images with high perceptual quality that merge arbitrary photos with artistic styles.

AI-generated from the title and abstract; the full text is not read.

TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app

The rest is in the Pofolia app

Takeaways, key points and questions to the paper; new summaries every day for your field. Free.

Sign in on the web to open

Field: Computer Vision and Pattern Recognition

Computer Vision and Pattern RecognitionComputer Science