Classes
Publications
- Optimal Multiple Importance Sampling2019 | Faculty of Mathematics and Physics
- Variance-Aware Multiple Importance Sampling2019 | Faculty of Mathematics and Physics
- Bayesian online regression for adaptive direct illumination sampling2018 | Faculty of Mathematics and Physics
- Efficient Caustic Rendering with Lightweight Photon Mapping2018 | Faculty of Mathematics and Physics
- Adjoint-Driven Russian Roulette and Splitting in Light Transport Simulation2016 | Faculty of Mathematics and Physics
- Joint Importance Sampling of Low-Order Volumetric Scattering2013 | Faculty of Mathematics and Physics
- Importance Caching for Complex Illumination2012 | Faculty of Mathematics and Physics
- A Zero-Variance-Based Sampling Scheme for Monte Carlo Subsurface ScatteringPublication without faculty affiliation
- Survey and Evaluation of Neural 3D Shape Classification Approaches2021 | Faculty of Mathematics and Physics, Central Library of Charles University
- A Gradient-Based Framework for 3D Print Appearance Optimization2021 | Faculty of Mathematics and Physics, Central Library of Charles University
Loading network view...