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arXiv · 2407.15481

Diverse Image Harmonization

Xinhao Tao·Tianyuan Qiu·Junyan Cao·Li Niu
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Abstract

Image harmonization aims to adjust the foreground illumination in a composite image to make it harmonious. The existing harmonization methods can only produce one deterministic result for a composite image, ignoring that a composite image could have multiple plausible harmonization results due to multiple plausible reflectances. In this work, we first propose a reflectance-guided harmonization network, which can achieve better performance with the guidance of ground-truth foreground reflectance. Then, we also design a diverse reflectance generation network to predict multiple plausible foreground reflectances, leading to multiple plausible harmonization results. The extensive experiments on the benchmark datasets demonstrate the effectiveness of our method.

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Xinhao Tao, Tianyuan Qiu, Junyan Cao, Li Niu. 2024-07-22. Diverse Image Harmonization. https://arxiv.org/abs/2407.15481

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