ImageAdmixture: Putting Together Dissimilar Objects from Groups

Authors:
Fang-Lue Zhang;Ming-Ming Cheng;Jiaya Jia;Shi-Min Hu
Affiliations:
Tsinghua University, Beijing;Tsinghua University, Beijing;The Chinese University of Hong Kong, Hong Kong;Tsinghua University, Beijing
Venue:
IEEE Transactions on Visualization and Computer Graphics
Year:
2012

Citing 0
Cited 2

Inverse image editing: recovering a semantic editing history from a before-and-after image pair

ACM Transactions on Graphics (TOG)
PatchNet: a patch-based image representation for interactive library-driven image editing

ACM Transactions on Graphics (TOG)

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a semiautomatic image editing framework dedicated to individual structured object replacement from groups. The major technical difficulty is element separation with irregular spatial distribution, hampering previous texture, and image synthesis methods from easily producing visually compelling results. Our method uses the object-level operations and finds grouped elements based on appearance similarity and curvilinear features. This framework enables a number of image editing applications, including natural image mixing, structure preserving appearance transfer, and texture mixing.