by America Ortiz | Jun 18, 2024 | Rendering, Video Processing, Visual Computing
Neural Denoising for Deep-Z Monte Carlo Renderings We propose a hybrid reconstruction architecture that combines the depth-resolved reconstruction at each bin with the flattened reconstruction at the pixel level. April 20, 2024 Eurographics (2024) Authors...
by Martina Megaro | Nov 27, 2018 | Rendering, Visual Computing
A radiative transfer framework for non-exponential media We develop a new theory of volumetric light transport for media with non-exponential free-flight distributions. November 27, 2018ACM SIGGRAPH Asia 2018 Authors Benedikt Bitterli (Dartmouth College)...
by Martina Megaro | Jul 30, 2018 | Machine Learning, Rendering, Visual Computing
Denoising with Kernel Prediction and Asymmetric Loss Functions We present a modular convolutional architecture for denoising rendered images. July 30, 2018ACM SIGGRAPH 2018 Authors Thijs Vogels (Disney Research) Fabrice Rousselle (Disney Research) Brian...
by Martina Megaro | Jun 22, 2016 | Rendering, Visual Computing
Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings We address the problem of denoising Monte Carlo renderings by studying existing approaches and proposing a new algorithm that yields state-of-the-art performance on a wide range of...
