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#raytracing#pathtracing#montecarlo

TU Wien Rendering #1 - Introduction

Two Minute Papers

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  • Recommended by 4 people: 4 in engineering communities.
  • A classic. People kept recommending it from 2019 to 2024.
  • Presented by Károly Zsolnai-Fehér, TU Wien

Advanced. Deep dive for people who know the field.

103K views11 years ago4 recommendations

Graphics and audioRenderingAlgorithms

Károly Zsolnai-Fehér introduces the TU Wien rendering course, outlining topics like ray tracing, path tracing, and Monte Carlo integration.

Course website: cg.tuwien.ac.at/courses/Rendering/VU.SS2019.html A quick introduction where we learn how to pronounce my name, then I talk about what to expect from the course and what the assignments will be like. 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 → cg.tuwien.ac.at/courses/Rendering/ Subscribe → youtube.com/subscription_center?add_user=keeroyz Web → cg.tuwien.ac.at/~zsolnai/ Twitter → twitter.com/twominutepapers

Why it's here

4 people recommend this

What people say. Recommended as an excellent, highly engaging lecture series that aligns well with the PBRT book for learning modern path tracing.

u/TomClabaultin r/GraphicsProgramming • Recommends

On “Made a path tracer in C++ and Vulkan.”

I can also recommend ray tracing in one weekend. I think it's actually a good place to get started, it explains the basics well and lays the foundation for the more complicated things that you will add to your renderer later on. You can also have a look at the videos of the TU Wien University. But with all these resources from Zydak and I, you can probably just have a look at them, learn the terminology, start implementing something and if something goes wrong, you can just Google it because now you know the terminology.

u/JarJarShaqin r/GraphicsProgramming • Recommends

On “Ray tracing vs Path tracing”

This is an easy to follow, but in-depth playlist and it covers all of modern path tracing and provides some pseudo code and real code examples. It starts with the foundations of the raytracing integral and slowly builds on the concepts by introducing MIS, etc. It will answer your questions about ior and probability and fill in your knowledge gaps. link to this video After this, if you need the ultimate resource, the pbrt book was made freely available online. Good luck.

u/codevemberTeamin r/GraphicsProgramming • Recommends

On “Good Books/Lectures/Articles/Videos”

* http://www.pbr-book.org/ * https://wjakob.github.io/nori/ (Assignments used in Rendering lectures around the globe) * Lecture on Rendering recorded in Vienna 2015 [video (The whole channel is full of interesting graphics videos, great guy!) Generally I can only recommend you to read academic papers (anything published at ACM SIGGRAPH (/Asia), Eurographics or EGSR). They are sometimes not easy to read, but thats the primary source for cutting edge research and cool developments in graphics.

u/Unigmain r/GraphicsProgramming • Recommends

On “reading pbrt (2023) hit the wall on chapter 2 Monte Carlo, any advices?”

Two Minute Papers Tu Wien Tu Wien More Recent Course I would dive into both of these. They both cover the same book (they are using pbrt) so if you watch this and read pbrt it will make a lot more sense. Two Minute Papers guy, professor Karoly Zslonai is a highly engaging and excellent communicator obviously indicated by how well he pivoted to explaining papers on youtube. You'll love that course, it explains the concepts of light at a high level, then dive deeper into implementation. The other more modern course spends more time going through the math. Especially Monte Carlo. Again, both are using the same text book so they serve as excellent complimentary resources.