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A Closed-form Solution to Photorealistic Image Stylization

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Photorealistic image stylization concerns transferring style of a reference photo to a content photo with the constraint that the stylized photo should remain photorealistic. While several photorealistic image stylization methods exist, they tend to generate spatially inconsistent stylizations with noticeable artifacts. In this paper, we propose a method to address these issues. The proposed method consists of a stylization step and a smoothing step. While the stylization step transfers the style of the reference photo to the content photo, the smoothing step ensures spatially consistent stylizations. Each of the steps has a closed-form solution and can be computed efficiently. We conduct extensive experimental validations. The results show that the proposed method generates photorealistic stylization outputs that are more preferred by human subjects as compared to those by the competing methods while running much faster. Source code and additional results are available at https://github.com/NVIDIA/FastPhotoStyle .

Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, Jan Kautz• 2018

Related benchmarks

TaskDatasetResultRank
Image Color Style TransferLuan et al. (test)
CPU Inference Time (s)14.591
15
Color Style Transfer20 image sets (val)
Average Ranking5.75
7
Color Style TransferFHD 1920 x 1080
Inference Time (s)0.599
6
Color Style Transfer2K 2560 x 1440
Inference Time1.002
5
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