Here are some links related to ray tracing, and more specifically, path tracing.
Some ray tracing related projects or blogs:
- Code & Visuals, by Yining Karl Li, the author of the Takua renderer.
- Iman Sadeghi’s Bi Directional Path Tracing Project Homepage, gives a good introduction to the topic.
- Mitsuba Development Blog. From the description:
Mitsuba is a research-oriented rendering system in the style of PBRT, from which it derives much inspiration. It is written in portable C++, implements unbiased as well as biased techniques, and contains heavy optimizations targeted towards current CPU architectures.
- Nori, an educational ray tracer written in C++.
- Peter Kutz’ Bidirectional Path Tracing and Metropolis Light Transport blog doesn’t seem maintained anymore but still contains interesting articles.
- Ray Tracey’s blog, by Sam Lapere, the author of the Brigade renderer.
- Real time ray tracing, and real time ray tracing part 2, two articles by Matt Swoboda on the making of the demo 5 Faces.
- Smallpt, which I previously mentioned as I experimented with a GLSL version
- Syntopia, where fractals, L-systems and ray tracing
Some major publications:
- The rendering equation, SIGGRAPH 1986, James T. Kajiya. From the paper:
We present an integral equation which generalizes a variety of known rendering algorithms.
We mention that the idea behind the rendering equation is hardly new.
However, the form in which we present this equation is well suited for computer graphics, and we believe that this form has not appeared before.
- Bi-directional path tracing, Compugraphics 1993, Eric P. Lafortune and Yves D. Willems. From the paper:
The basic idea is that particles are shot at the same time from a selected light source and from the viewing point, in much the same way. All hit points on respective particle paths are then connected using shadow rays and the appropriate contributions are added to the flux of pixel in question.
- Optimally Combining Sampling Techniques for Monte Carlo Rendering, SIGGRAPH 1995, Eric Veach and Leonidas J. Guibas. From the abstract:
We present a powerful alternative for constructing robust Monte Carlo estimators, by combining samples from several distributions in a way that is provably good.
- Metropolis Light Transport, SIGGRAPH 1997, Eric Veach and Leonidas J. Guibas. From the abstract:
To render an image, we generate a sequence of light transport paths by randomly mutating a single current path (e.g. adding a new vertex to the path).
- Robust Monte Carlo methods for light transport simulation, 1998, Erich Veach PhD thesis (432 pages pdf): it presents bidirectional path tracing, and introduces Metropolis Light Transport and Multiple Importance Sampling. From the abstract:
Our statistical contributions include a new technique called multiple importance sampling, which can greatly increase the robustness of Monte Carlo integration. It uses more than one sampling technique to evaluate an integral, and then combines these samples in a way that is provably close to optimal. This leads to estimators that have low variance for a broad class of integrands. We also describe a new variance reduction technique called efficiency-optimized Russian roulette.
The second algorithm we describe is Metropolis light transport, inspired by the Metropolis sampling method from computational physics. Paths are generated by following a random walk through path space, such that the probability density of visiting each path is proportional to the contribution it makes to the ideal image.
On a slightly different topic, fxguide had a great series of articles on the state of rendering in the film industry, which I previously mentioned.