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