A survey on deep learning-based Monte Carlo denoising
Monte Carlo (MC) integration is used ubiquitously in realistic image synthesis because of its
flexibility and generality. However, the integration has to balance estimator bias and …
flexibility and generality. However, the integration has to balance estimator bias and …
A review on light transport algorithms and simulation tools to model daylighting inside buildings
M Ayoub - Solar Energy, 2020 - Elsevier
The behavior of daylight inside built settings, though complex, is well understood; and over
past years, designers and researchers investigated different tools and methodologies to …
past years, designers and researchers investigated different tools and methodologies to …
Rviz: a toolkit for real domain data visualization
HR Kam, SH Lee, T Park, CH Kim - Telecommunication Systems, 2015 - Springer
In computational science and computer graphics, there is a strong requirement to represent
and visualize information in the real domain, and many visualization data structures and …
and visualize information in the real domain, and many visualization data structures and …
Monte Carlo methods for volumetric light transport simulation
The wide adoption of path‐tracing algorithms in high‐end realistic rendering has stimulated
many diverse research initiatives. In this paper we present a coherent survey of methods that …
many diverse research initiatives. In this paper we present a coherent survey of methods that …
[PDF][PDF] Light transport simulation with vertex connection and merging.
Results. A comparison of our vertex connection and merging (VCM) algorithm against
bidirectional path tracing (BPT) and progressive photon map** (PPM)[2, 4] after 30 min of …
bidirectional path tracing (BPT) and progressive photon map** (PPM)[2, 4] after 30 min of …
Stochastic progressive photon map**
This paper presents a simple extension of progressive photon map** for simulating global
illumination with effects such as depth-of-field, motion blur, and glossy reflections …
illumination with effects such as depth-of-field, motion blur, and glossy reflections …
On-line learning of parametric mixture models for light transport simulation
Monte Carlo techniques for light transport simulation rely on importance sampling when
constructing light transport paths. Previous work has shown that suitable sampling …
constructing light transport paths. Previous work has shown that suitable sampling …
A framework for transient rendering
Recent advances in ultra-fast imaging have triggered many promising applications in
graphics and vision, such as capturing transparent objects, estimating hidden geometry and …
graphics and vision, such as capturing transparent objects, estimating hidden geometry and …
A path space extension for robust light transport simulation
We present a new sampling space for light transport paths that makes it possible to describe
Monte Carlo path integration and photon density estimation in the same framework. A key …
Monte Carlo path integration and photon density estimation in the same framework. A key …
Scalable realistic rendering with many‐light methods
Recent years have seen increasing attention and significant progress in many‐light
rendering, a class of methods for efficient computation of global illumination. The many‐light …
rendering, a class of methods for efficient computation of global illumination. The many‐light …