This work proposes an efficient example-based photorealistic style transfer algorithm for video. Given a source
unprocessed video and a reference image color graded by an artist, we describe an automatic algorithm
to transfer the visual style of the reference onto the source footage. Our approach builds upon the color
transfer methods based on the statistical properties of images. These methods are fast and of low-complexity,
therefore suitable for real-time implementations. Our contribution ...
This work proposes an efficient example-based photorealistic style transfer algorithm for video. Given a source
unprocessed video and a reference image color graded by an artist, we describe an automatic algorithm
to transfer the visual style of the reference onto the source footage. Our approach builds upon the color
transfer methods based on the statistical properties of images. These methods are fast and of low-complexity,
therefore suitable for real-time implementations. Our contribution is to adapt those methods to be used for
unprocessed video from cinema cameras, and optionally to incorporate regions of interest previously selected
by the user, affecting the final color transfer. The resulting videos are free from artifacts and provide an
excellent approximation to the intended look, bringing savings in pre-production, shooting and post-production
time. Results are free of spatio-temporal artifacts and the method outperforms diverse state-of-the-art methods
according to observer preference experiments.
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