Transfusive Weights for Content-Aware Image Manipulation
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Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Many image editing operations, such as colorization, matting or deformation, can be performed by propagating user-defined sparse constraints (e.g. scribbles) to the rest of the image using content-aware weight functions. Image manipulation has been recently extended to simultaneous editing of multiple images of the same subject or scene by precomputing dense correspondences, where the content-aware weights play a core role in defining the sub-pixel accurate image warps from source to target images. In this paper, we expand the range of applications for content-aware weights to the multi-image setting and improve the quality of the recently proposed weights and the matching framework. We show that multiple images of a subject can be used to refine the content-aware weights, and we propose a customization of the weights to enable easily-controllable interactive depth segmentation and assignment, image matting and deformation transfer, both in single- and multi-image settings.
Description
@inproceedings{:10.2312/PE.VMV.VMV13.057-064,
booktitle = {Vision, Modeling & Visualization},
editor = {Michael Bronstein and Jean Favre and Kai Hormann},
title = {{Transfusive Weights for Content-Aware Image Manipulation}},
author = {YĆ¼cer, Kaan and Sorkine-Hornung, Alexander and Sorkine-Hornung, Olga},
year = {2013},
publisher = {The Eurographics Association},
ISBN = {978-3-905674-51-4},
DOI = {/10.2312/PE.VMV.VMV13.057-064}
}