Petr Vévoda
Most Recent Affiliation(s):
- Charles University, Prague, Chaos Czech, Render Legion, Researcher
Bio:
SIGGRAPH 2020
Petr Vevoda is a PhD student at Charles University and a researcher at Chaos Czech. He was supervised by Jaroslav Kˇrivanek at both positions. His research is focused on realistic rendering algorithms and their application in production. He collaborated on research of a new algorithm for rendering participating media, a principled way of learning a distribution for many-lights sampling from previous observations, and a provably optimal MIS weights.
Learning Category: Presentation(s):
Type: [Technical Papers]
A fitted radiance and attenuation model for realistic atmospheres Presenter(s): [Wilkie] [Vévoda] [Bashford-Rogers] [Hosek] [Iser] [Kolářová] [Rittig] [Křivánek]
[SIGGRAPH 2021]
Type: [Courses]
Advances in Monte Carlo Rendering: The Legacy of Jaroslav Krivanek Organizer(s): [Keller]
Presenter(s): [Gautron] [Vorba] [Georgiev] [Šik] [d’Eon] [Grittmann] [Vévoda] [Kondapaneni]
Entry No.: [22]
[SIGGRAPH 2020]
Type: [Technical Papers]
Variance-aware path guiding Presenter(s): [Rath] [Grittmann] [Herholz] [Vévoda] [Slusallek] [Křivánek]
[SIGGRAPH 2020]
Type: [Technical Papers]
Optimal multiple importance sampling Presenter(s): [Kondapaneni] [Vévoda] [Grittmann] [Skrivan] [Slusallek] [Křivánek]
[SIGGRAPH 2019]
Type: [Technical Papers]
Bayesian online regression for adaptive direct illumination sampling Presenter(s): [Vévoda] [Kondapaneni] [Křivánek]
Entry No.: [125]
[SIGGRAPH 2018]
Role(s):
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