Machine-learning denoising in feature film production
Henrik Dahlberg, David A. Adler, Jeremy Newlin · 2019
We present our experience deploying and using machine learning denoising of Monte Carlo renders in the production of animated feature films such as Pixar's Toy Story 4, Disney Animation's Ralph Breaks the Internet and Industrial Light & Magic's visual effects work on photo-realistic films such as Aladdin (2019). We show what it took to move from an R&D implementation of "Denoising with Kernel Prediction and Asymmetric Loss Functions" [Vogels et al. 2018] to a practical tool in a production pipeline.