Yanir Kleiman
ABSTRACT
Machine learning techniques are not often associated with artistic work such as visual effects production. Nevertheless, these techniques can save a lot of time for artists when used in the right context. In recent years, deep learning techniques have become a widely used tool with powerful frameworks that can be employed in a production environment. We present two deep learning solutions that were integrated into our production pipeline and used in current productions. One method generates high quality images from a compressed video file that contains various compression artifacts. The other quickly locates slates and color charts used for grading in a large set of images. We discuss these particular solutions in the context of previous work, as well as the challenges of integrating a deep learning solution within a VFX production pipeline, from concept to implementation.
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