Diverse Image Harmonization
<|reference_start|>Diverse Image Harmonization: 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.<|reference_end|>
@article{tao2024diverse,
    title={Diverse Image Harmonization},
    author={Xinhao Tao, Tianyuan Qiu, Junyan Cao, Li Niu},
    journal={arXiv preprint arXiv:2407.15481},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.15481},
    primaryClass={cs.CV}
}