Inharmonious Region Localization with Auxiliary Style Feature

Penghao Wu (Shanghai Jiao Tong University), Li Niu (Shanghai Jiao Tong University),* Liqing Zhang (Shanghai Jiao Tong University)
The 33rd British Machine Vision Conference


With the prevalence of image editing techniques, users can create fantastic synthetic images, but the image quality may be compromised by the color/illumination discrepancy between the manipulated region and background. Inharmonious region localization aims to localize the inharmonious region in a synthetic image. In this work, we attempt to leverage auxiliary style feature to facilitate this task. Specifically, we propose a novel color mapping module and a style feature loss to extract discriminative style features containing task-relevant color/illumination information. Based on the extracted style features, we also propose a novel style voting module to guide the localization of inharmonious region. Moreover, we introduce semantic information into the style voting module to achieve further improvement. Our method surpasses the existing methods by a large margin on the benchmark dataset.



author    = {Penghao Wu and Li Niu and Liqing Zhang},
title     = {Inharmonious Region Localization with Auxiliary Style Feature},
booktitle = {33rd British Machine Vision Conference 2022, {BMVC} 2022, London, UK, November 21-24, 2022},
publisher = {{BMVA} Press},
year      = {2022},
url       = {}

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