Inharmonious Region Localization by Magnifying Domain Discrepancy


  • Jing Liang Shanghai Jiao Tong University
  • Li Niu Shanghai Jiao Tong University
  • Penghao Wu Shanghai Jiaotong University
  • Fengjun Guo IntSig Information Co. Ltd
  • Teng Long INTSIG



Computer Vision (CV)


Inharmonious region localization aims to localize the region in a synthetic image which is incompatible with surrounding background. The inharmony issue is mainly attributed to the color and illumination inconsistency produced by image editing techniques. In this work, we tend to transform the input image to another color space to magnify the domain discrepancy between inharmonious region and background, so that the model can identify the inharmonious region more easily. To this end, we present a novel framework consisting of a color mapping module and an inharmonious region localization network, in which the former is equipped with a novel domain discrepancy magnification loss and the latter could be an arbitrary localization network. Extensive experiments on image harmonization dataset show the superiority of our designed framework.




How to Cite

Liang, J., Niu, L., Wu, P., Guo, F., & Long, T. (2022). Inharmonious Region Localization by Magnifying Domain Discrepancy. Proceedings of the AAAI Conference on Artificial Intelligence, 36(2), 1574-1582.



AAAI Technical Track on Computer Vision II