Classes
Publications
- 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
- A Fitted Radiance and Attenuation Model for Realistic Atmospheres2021 | Faculty of Mathematics and Physics, Central Library of Charles University
- Robust and practical measurement of volume transport parameters in solid photo-polymer materials for 3D printing2021 | Faculty of Mathematics and Physics
- Variance-Aware Path Guiding2020 | Faculty of Mathematics and Physics
- Optimal Multiple Importance Sampling2019 | Faculty of Mathematics and Physics
- Quantum Yield Bias in Materials With Lower Absorptance2019 | Faculty of Mathematics and Physics
- Geometry-Aware Scattering Compensation for 3D Printing2019 | Faculty of Mathematics and Physics
- Variance-Aware Multiple Importance Sampling2019 | Faculty of Mathematics and Physics
- MIS Compensation: Optimizing Sampling Techniques in Multiple Importance Sampling2019 | Faculty of Mathematics and Physics
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