Jaroslav Křivánek

Adaptive sampling and Markov chain Monte Carlo methods in light transport simulation

Research project funded by the Czech Science Foundation (GA ČR).

Project number:16-18964S
Project holder: Jaroslav Křivánek, Charles University in Prague, Faculty of Mathematics and Physics
Team members: Alexander Wilkie, Charles University in Prague, Faculty of Mathematics and Physics
Martin Šik, Charles University in Prague, Faculty of Mathematics and Physics
Petr Vévoda, Charles University in Prague, Faculty of Mathematics and Physics
Ivo Kondapaneni, Charles University in Prague, Faculty of Mathematics and Physics

Abstract

An important problem in computer graphics is realistic image synthesis, with light transport simulation being its fundamental component. The objective of this project is to develop new methods that will be able to efficiently simulate light in a much wider range of environments than the existing ones. To this end, we propose novel research on adaptive sampling in Monte Carlo methods as well as the use of Markov chain Monte Carlo. The main novelty of our research is a rigorous statistical approach to exploiting different sources of information – often suffering from statistical error – in adaptive simulation. Apart from making a theoretical contribution, our project will benefit practical applications such as the film industry or architectural visualization.


Publications

2016

Martin Šik, Hisanari Otsu, Toshiya Hachisuka, Jaroslav Křivánek
Robust Light Transport Simulation via Metropolized Bidirectional Estimators
ACM Trans. Graph., ACM SIGGRAPH Asia 2016

Martin Šik, Jaroslav Křivánek
Improving global exploration of MCMC light transport simulation
ACM SIGGRAPH 2016 posters.

Adrien Gruson, Mickael Ribardiere, Martin Šik, Jiří Vorba, Rémy Cozot, Kadi Bouatouch, Jaroslav Křivánek
A Spatial Target Function for Metropolis Photon Tracing
ACM Trans. Graph. 2016.

Jiří Vorba, Jaroslav Křivánek
Adjoint-Driven Russian Roulette and Splitting in Light Transport Simulation
ACM Trans. Graph., ACM SIGGRAPH 2016.