“Boosting VFX Production with Deep Learning”
Conference:
Type:
Entry Number: 24
Title:
- Boosting VFX Production with Deep Learning
Presenter(s)/Author(s):
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.
References:
Ryan Baumann. 2015. Automatic ColorChecker Detection, a Survey. (2015). https://ryanfb.github.io/etc/2015/07/08/automatic_colorchecker_detection.html
