On-line learning of parametric mixture models for light transport simulation. - Jirí Vorba; Ondrej Karlík; Martin Sik; Tobias Ritschel 001; Jaroslav Krivánek (ACM Trans. Graph., 2014)

Product Importance Sampling for Light Transport Path Guiding. - Sebastian Herholz; Oskar Elek; Jirí Vorba; Hendrik P. A. Lensch; Jaroslav Krivánek (Comput. Graph. Forum, 2016)

Adjoint-driven Russian roulette and splitting in light transport simulation. - Jirí Vorba; Jaroslav Krivánek (ACM Trans. Graph., 2016)

A Spatial Target Function for Metropolis Photon Tracing. - Adrien Gruson; Mickaël Ribardière; Martin Sik; Jirí Vorba; Rémi Cozot; Kadi Bouatouch; Jaroslav Krivánek (ACM Trans. Graph., 2017)

Path guiding in production. - Jirí Vorba; Johannes Hanika; Sebastian Herholz; Thomas Müller 013; Jaroslav Krivánek; Alexander Keller 001 (SIGGRAPH Courses, 2019)

Advances in Monte Carlo rendering: the legacy of Jaroslav Křivánek. - Alexander Keller 001; Pascal Grittmann; Jirí Vorba; Iliyan Georgiev; Martin Sik; Eugene d'Eon; Pascal Gautron; Petr Vévoda; Ivo Kondapaneni (SIGGRAPH Courses, 2020)

Optimised Path Space Regularisation. - Philippe Weier; Marc Droske; Johannes Hanika; Andrea Weidlich; Jirí Vorba (Comput. Graph. Forum, 2021)

Practical aspects of spectral data in digital content production. - Andrea Weidlich; Chloe LeGendre; Carlos Aliaga; Christophe Hery; Jean-Marie Aubry; Jirí Vorba; Daniele Siragusano; Richard Kirk (SIGGRAPH Courses, 2022)

Path tracing in Production: The Path of Water. - Marc Droske; Johannes Hanika; Jirí Vorba; Andrea Weidlich; Manuele Sabbadin (SIGGRAPH Courses, 2023)

Differentiating Variance for Variance-Aware Inverse Rendering. - Kai Yan 006; Vincent Pegoraro; Marc Droske; Jirí Vorba; Shuang Zhao (SIGGRAPH Asia, 2024)

A Data-Driven Approach to Analytical Dwivedi Guiding. - Darryl Gouder; Jirí Vorba; Marc Droske; Alexander Wilkie (Comput. Graph. Forum, 2025)