Photo-realistic 2D expression transfer based on FFT and modified Poisson image editing

2018 ◽  
Vol 309 ◽  
pp. 1-10 ◽  
Author(s):  
Chunna Tian ◽  
Haiyang Li ◽  
Xinbo Gao
2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Shan Liu ◽  
Yun Bo ◽  
Lingling Huang

With the further development of the social economy, people pay more attention to spiritual and cultural needs. As the main place of people’s daily life, the family is very important to the creation of its cultural atmosphere. In fact, China has fully entered the era of interior decoration, and people are paying more and more attention to decorative effects and the comfort and individual characteristics of decoration. Therefore, it is of practical significance to develop the application of decorative art in interior space design. However, the transfer effect of current interior decoration art design tends to be artistic, which leads to image distortion, and image content transfer errors are easy to occur in the process of transfer. The application of image style transfer in interior decoration art can effectively solve such problems. This paper analyzes the basic theory of image style transfer through image style transfer technology, Gram matrix, and Poisson image editing technology and designs images from several aspects such as image segmentation, content loss, enhanced style loss, and Poisson image editing constrained image spatial gradient. The application process of style transfer in interior decoration art realizes the application of image style transfer in interior decoration art. The experimental results show that the application of image style transmission in interior decoration art design can effectively avoid the contents of the interior decoration errors and distortions and has a good style transfer effect.


2011 ◽  
Author(s):  
David Doria

This code provides an implementation of two techniques from ``Poisson Image Editing’’ on ITK images. First, we fill a hole in an image given only the pixel values on the boundary. Second, we copy a patch of an image into another image and make the result as smooth as possible. We also explain how these techniques can be used to reconstruct an image after perform editing operations in the gradient domain.The code is available here: https://github.com/daviddoria/PoissonEditing


2012 ◽  
Vol 33 (3) ◽  
pp. 342-348 ◽  
Author(s):  
J.-M. Morel ◽  
A.B. Petro ◽  
C. Sbert

Author(s):  
Daniel Leventhal ◽  
Bernard Gordon ◽  
Peter G. Sibley

2009 ◽  
Vol 28 (5) ◽  
pp. 1-8 ◽  
Author(s):  
Stefan Jeschke ◽  
David Cline ◽  
Peter Wonka

Author(s):  
Khaled Hussain ◽  
Rasha Mahmoud

2016 ◽  
Vol 5 ◽  
pp. 300-325 ◽  
Author(s):  
J. Matías Di Martino ◽  
Gabriele Facciolo ◽  
Enric Meinhardt-Llopis

Sign in / Sign up

Export Citation Format

Share Document