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- 2026年11月14日
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Two Minute Papers · 发布于 2015年5月15日
To be faithful to mother nature, we would need a to trace an infinite number of bounces for every ray (of course this depends on the attenuation of the energy of the photon bounce after bounce). Since we only have finite resources, this sounds impossible. To our surprise, this is possible to solve with a statistical trick call Russian roulette path termination. We can easily prove that the estimator converges to the right quantity, though it has its own variance that recedes over time as more samples are added. Warning: it will boggle your mind! About the course: This course aims to give an overview of basic and state-of-the-art methods of rendering. Offline methods such as ray and path tracing, photon mapping and many other algorithms are introduced and various refinement are explained. The basics of the involved physics, such as geometric optics, surface and media interaction with light and camera models are outlined. The apparatus of Monte Carlo methods is introduced which is heavily used in several algorithms and its refinement in the form of stratified sampling and the Metropolis-Hastings method is explained. At the end of the course students should be familiar with common techniques in rendering and find their way around the current state-of-the-art of the field. Furthermore the exercises should deepen the attendees' understanding of the basic principles of light transport and enable them to write a simple rendering program themselves. These videos are the recordings of the lectures of 2015 at the Teschnische Universität Wien by Károly Zsolnai and Thomas Auzinger Course website and slides → http://www.cg.tuwien.ac.at/courses/Rendering/ Subscribe → http://www.youtube.com/subscription_center?add_user=keeroyz Web → https://cg.tuwien.ac.at/~zsolnai/ Twitter → https://twitter.com/karoly_zsolnai
