Photorealistic style transfer with screened Poisson equation

Roey Mechrez, Eli Shechtman, Lihi Zelnik-Manor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recent work has shown impressive success in transferring painterly style to images. These approaches, however, fall short of photorealistic style transfer. Even when both the input and reference images are photographs, the output still exhibits distortions reminiscent of a painting. In this paper we propose an approach that takes as input a stylized image and makes it more photorealistic. It relies on the Screened Poisson Equation, maintaining the fidelity of the stylized image while constraining the gradients to those of the original input image. Our method is fast, simple, fully automatic and shows positive progress in making a stylized image photorealistic. Our results exhibit finer details and are less prone to artifacts than the state-of-the-art.

Original languageEnglish
Title of host publicationBritish Machine Vision Conference 2017, BMVC 2017
ISBN (Electronic)190172560X, 9781901725605
DOIs
StatePublished - 2017
Event28th British Machine Vision Conference, BMVC 2017 - London, United Kingdom
Duration: 4 Sep 20177 Sep 2017

Publication series

NameBritish Machine Vision Conference 2017, BMVC 2017

Conference

Conference28th British Machine Vision Conference, BMVC 2017
Country/TerritoryUnited Kingdom
CityLondon
Period4/09/177/09/17

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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