TY - GEN
T1 - Photorealistic style transfer with screened Poisson equation
AU - Mechrez, Roey
AU - Shechtman, Eli
AU - Zelnik-Manor, Lihi
N1 - Publisher Copyright: © 2017. The copyright of this document resides with its authors.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85088773672&partnerID=8YFLogxK
U2 - https://doi.org/10.5244/c.31.153
DO - https://doi.org/10.5244/c.31.153
M3 - منشور من مؤتمر
T3 - British Machine Vision Conference 2017, BMVC 2017
BT - British Machine Vision Conference 2017, BMVC 2017
T2 - 28th British Machine Vision Conference, BMVC 2017
Y2 - 4 September 2017 through 7 September 2017
ER -