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Advanced course in computer graphics with the emphasis on image synthesis. Main topics are rendering equation, Monte-Carlo rendering methods, path tracing, photon mapping etc. Furthermore, the course gives a survey of selected methods from advanced computer graphics such as computational photography, HDR and one mapping, sound simulation, inverse kinematics, skinning, motion capture, dynamics of rigid bodies and fluids.
Last update: Křivánek Jaroslav, doc. Ing., Ph.D. (26.05.2011)
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To pass the labs, the student has to submit assignments and get at least 50% points from the assignments in total. To pass the final exam, the student has to receive at least 50% points from the exam questions and their overall points (home assignments + exam questions) must be at least 55%. Last update: Iser Tomáš, Mgr., Ph.D. (01.09.2025)
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Pharr M., Jakob W., Humphreys G.: Physically Based Rendering: From Theory To Implementation. The MIT Press; 4th edition, 2023. https://www.pbr-book.org/4ed/contents
Pharr M., Jakob W., Humphreys G.: Physically Based Rendering: From Theory To Implementation. Morgan Kaufmann; 3rd edition, 2016. http://www.pbr-book.org/3ed-2018/contents.html
Veach E.: Robust Monte Carlo Methods for Light Transport Simulation, Ph.D. dissertation, Stanford University, 1997. Last update: Iser Tomáš, Mgr., Ph.D. (01.09.2025)
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1. Rendering theory: Radiometric quantities, BRDF, local and global rendering equation.
2. Monte Carlo rendering methods: Monte Carlo integration methods for integration and for solution of integral equations, combined estimators. Applications for in: path tracing, bidirectional path tracing, photon mapping, irradiance caching. Last update: Křivánek Jaroslav, doc. Ing., Ph.D. (03.09.2019)
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This course is intended primarily for Master's students (already from their 1st year), but it is also possible to enroll in it towards the end of Bachelor's studies. Basic knowledge of computer graphics is expected, roughly at the level of NPGR003 and NPGR004 from Bachelor's studies, and basic knowledge of integrals and probability (which is needed for Monte Carlo rendering). However, there are no formal requirements and any student can enroll in the course at their discretion. Last update: Iser Tomáš, Mgr., Ph.D. (01.09.2025)
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