ImageAdmixture: Putting Together Dissimilar Objects from Groups
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Updated: May 24, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
Published on: November 2, 2012
Fang-Lue Zhang1, Ming-Ming Cheng, Jiaya Jia
1TNList, Tsinghua University, Beijing 100084, China. z.fanglue@gmail.com
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.
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