A Neural Algorithm of Artistic Style

08/26/2015
by   Leon A. Gatys, et al.
0

In fine art, especially painting, humans have mastered the skill to create unique visual experiences through composing a complex interplay between the content and style of an image. Thus far the algorithmic basis of this process is unknown and there exists no artificial system with similar capabilities. However, in other key areas of visual perception such as object and face recognition near-human performance was recently demonstrated by a class of biologically inspired vision models called Deep Neural Networks. Here we introduce an artificial system based on a Deep Neural Network that creates artistic images of high perceptual quality. The system uses neural representations to separate and recombine content and style of arbitrary images, providing a neural algorithm for the creation of artistic images. Moreover, in light of the striking similarities between performance-optimised artificial neural networks and biological vision, our work offers a path forward to an algorithmic understanding of how humans create and perceive artistic imagery.

READ FULL TEXT

page 3

page 5

page 7

research
11/18/2018

CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans

Visual object recognition plays an essential role in human daily life. T...
research
11/16/2016

Neural Style Representations and the Large-Scale Classification of Artistic Style

The artistic style of a painting is a subtle aesthetic judgment used by ...
research
01/25/2023

Connecting metrics for shape-texture knowledge in computer vision

Modern artificial neural networks, including convolutional neural networ...
research
02/28/2020

Learning to See: You Are What You See

The authors present a visual instrument developed as part of the creatio...
research
11/19/2016

PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition

By providing substantial amounts of data and standardized evaluation pro...
research
10/08/2021

Automatic annotation of visual deep neural networks

Computer vision is widely used in the fields of driverless, face recogni...
research
06/14/2016

Inverting face embeddings with convolutional neural networks

Deep neural networks have dramatically advanced the state of the art for...

Please sign up or login with your details

Forgot password? Click here to reset