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TU Wien Rendering 32 Bidirectional Path Tracing Multiple Importance Sampling
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=RuBjYa4Q3dA
With a classical unidirectional path tracer, we'll have some scenes where it is difficult to connect to the light source, and therefore many of our computed samples will be wasted. What if we would start not only one light path from the camera, but one also from the light source, and connect the two together? It turns out that we get a much more robust technique that can render a variety of packed scenes with lots of occlusions with ease. This way, one light path can now be obtained with different probabilities - as if we were running multiple Monte Carlo integration processes. These samples can be weighted by Multiple Importance Sampling, arguably one of the most powerful technique in all photorealistic rendering research. We'll take a look at the implementation of this amazing noise suppression technique in Wenzel Jakob's Mitsuba renderer. Amazing results ahead! • 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/Re... • Subscribe → http://www.youtube.com/subscription_c... • Web → https://cg.tuwien.ac.at/~zsolnai/ • Twitter → / karoly_zsolnai
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