Kernel-Predicting Convolutional Networks for Denoising

Fig. 1. We introduce a deep learning approach for denoising Monte Carlo-rendered images that produces high-quality results suitable for production. We train a convolutional neural network to learn the complex relationship between noisy and reference data across a large set of frames with varying distributed e ects from the film Finding Dory (le ). The trained network can then be applied to denoise new images from other films with significantly di erent style and content, such as Cars 3 (right), with production-quality results.