by America Ortiz | Apr 8, 2025 | Rendering, Video Processing, Visual Computing
Volume Scattering Probability Guiding We demonstrate that direct control over the VSP can significantly improve efficiency and present an unbiased volume rendering algorithm based on an existing resampling framework for precise control over the VSP. October 7, 2024...
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...
