User Study Images

This page shows the image enhancement results used in our user study. Each row contains an input image, our result, and the results of previous image enhancement algorithms: FLL [1], APDE [2], DPED [3], and DPE [4]. All images are converted from png to jpg because of the file size limit of supplementary materials. You can click images to see them in their original sizes.

References

[1] FLL - AUBRY M., PARIS S., HASINOFF S. W., KAUTZ J., DURAND F.: Fast local laplacian filters: Theory and applications. ACM TOG (2014)
[2] APDE - SON M., LEE Y., KANG H., LEE S.: Art-photographic detail enhancement. Computer Graphics Forum 33, 2 (2014), 391–400.
[3] DPED - IGNATOV A., KOBYSHEV N., TIMOFTE R., VANHOEY K., GOOL L. V.: Dslr-quality photos on mobile devices with deep convolutional networks. In Proc. ICCV (2017).
[4] DPE - CHEN Y.-S., WANG Y.-C., KAO M.-H., CHUANG Y.-Y.:Deep photo enhancer: Unpaired learning for image enhancement from photographs with gans. In Proc. CVPR (2018).

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