Overview
Explore the powerful Metropolis Light Transport technique in this 25-minute lecture from TU Wien's rendering course. Discover how this method outperforms Bidirectional Path Tracing in difficult scenes, promising optimal importance sampling and improved convergence over time. Learn about its variants, including Veach and Kelemen-style MLT, and understand the concept of start-up bias. Delve into the physics of rendering, including geometric optics, surface and media interactions with light, and camera models. Gain insights into Monte Carlo methods, stratified sampling, and the Metropolis-Hastings method. By the end of this lecture, acquire the knowledge to understand common rendering techniques, stay updated with the field's current state-of-the-art, and develop skills to write a simple rendering program.
Syllabus
Intro
Important Sampling
Light Path Tracing
Understanding Sampling
Rejection Sampling
Intuition
Bounce
Metropolis
Original Metropolis
Primary Sample Space Metropolis
Light Paths
Sampling Scheme
Metropolis and Path Tracing
Metropolis and Algorithm
Startup Virus
Lux Render
Podracer
Metropolis Sampling
Metropolis Sampling Animation
Metropolis Sampling Example
Failure Case
Taught by
Two Minute Papers