Technical Papers
Light Transport
Wednesday, 13 August 10:45 AM - 12:15 PM | Vancouver Convention Centre, East Building, Exhibit Hall A Session Chair: Jaakko Lehtinen, Aalto University/NVIDIA Corporation
Multiplexed Metropolis Light Transport
A novel Markov-chain Monte Carlo rendering algorithm that automatically explores different path sampling techniques based on multiple importance sampling.
Toshiya Hachisuka
Aarhus Universitet
Anton Kaplanyan
Karlsruhe Institute of Technology
Carsten Dachsbacher
Karlsruhe Institute of Technology
On-line Learning of Parametric Mixture Models for Light Transport Simulation
Using parametric-mixture models for importance sampling in light-transport simulation. The core of the approach is online model learning from a continuous stream of particles.
Jiří Vorba
Charles University in Prague
Ondřej Karlík
Charles University in Prague
Martin Šik
Charles University In Prague
Tobias Ritschel
Max-Planck-Institut für Informatik
Jaroslav Křivánek
Charles University In Prague
The Natural Constraint Representation of the Path Space for Efficient Light Transport Simulation
This paper presents a new domain for sampling light-transport paths, which is defined by partitioning the path space into subspaces motivated by Fermat's fundamental principle. The proposed mutation strategy in this new domain improves glossy transport by importance-sampling surface interactions along the entire path, while maintaining path structure.
Anton Kaplanyan
Karlsruhe Institute of Technology
Johannes Hanika
Karlsruhe Institute of Technology
Carsten Dachsbacher
Karlsruhe Institute of Technology
Unifying Points, Beams, and Paths in Volumetric Light Transport Simulation
This paper proposes a robust rendering algorithm that combines the strengths of point- and beam-based volumetric radiance estimators with the versatility of bidirectional path tracing. The algorithm excels at rendering scenes with different kinds of media, where previous specialized techniques require a significantly longer time to converge.
Jaroslav Krivanek
Charles University in Prague
Iliyan Georgiev
Light Transportation Ltd.
Toshiya Hachisuka
Aarhus Universitet
Petr Vevoda
Charles University in Prague
Martin Sik
Charles University in Prague
Derek Nowrouzezahrai
Université de Montréal
Wojciech Jarosz
Disney Research Zürich
High-Order Similarity Relations in Radiative Transfer
This paper presents a complete exposition of similarity theory and introduces a new approach to utilize the theory in its general high-order form. The practical utility of this method is demonstrated with two applications: forward and inverse rendering of translucent materials.
Shuang Zhao
Cornell University
Ravi Ramamoorthi
University of California, Berkeley
Kavita Bala
Cornell University