Due to the importance and prevalence of computer vision and image generation for applied and enterprise AI, we did feature some of the papers below in our previous article summarizing the top overall machine learning papers of 2018.Since you might not have read that previous piece, we chose to highlight the vision-related research ones again here.The method consists of two steps: stylization and smoothing.
Special thanks also goes to computer vision specialist Rebecca Bur Wei for generously offering her expertise in editing and revising drafts of this article.
In this paper, we propose a method to address these issues.
The proposed method consists of a stylization step and a smoothing step.
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.