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Deep Compositional Denoising for High-quality Monte Carlo Rendering
(The Eurographics Association and John Wiley & Sons Ltd., 2021)
We propose a deep-learning method for automatically decomposing noisy Monte Carlo renderings into components that kernelpredicting denoisers can denoise more effectively. In our model, a neural decomposition module learns ...
Robust Image Denoising using Kernel Predicting Networks
(The Eurographics Association, 2021)
We present a new method for designing high quality denoisers that are robust to varying noise characteristics of input images. Instead of taking a conventional blind denoising approach or relying on explicit noise parameter ...
Automatic Feature Selection for Denoising Volumetric Renderings
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
We propose a method for constructing feature sets that significantly improve the quality of neural denoisers for Monte Carlo renderings with volumetric content. Starting from a large set of hand-crafted features, we propose ...