15-468, 15-668, 15-868
Physics-based Rendering, Spring 2021
Time: Tuesdays, Thursdays 10:40 am - noon ET
Location: Posner Hall 152 and online (see Canvas for Zoom links)
Instructor: Ioannis (Yannis) Gkioulekas
Teaching Assistant: Bailey Miller
Course Description

This course is an introduction to physics-based rendering at the advanced undergraduate and introductory graduate level. During the course, we will cover fundamentals of light transport, including topics such as the rendering and radiative transfer equation, light transport operators, path integral formulations, and approximations such as diffusion and single scattering. Additionally, we will discuss state-of-the-art models for illumination, surface and volumetric scattering, and sensors. Finally, we will use these theoretical foundations to develop Monte Carlo algorithms and sampling techniques for efficiently simulating physically-accurate images. Towards the end of the course, we will look at advanced topics such as rendering wave optics, neural rendering, and differentiable rendering.

The course has a strong programming component, during which students will develop their own working implementation of a physics-based renderer, including support for a variety of rendering algorithms, materials, illumination sources, and sensors. The project also includes a final project, during which students will select and implement some advanced rendering technique, and use their implementation to produce an image that is both technically and artistically compelling. The course will conclude with a rendering competition, where students submit their rendered images to win prizes.

Cross-listing: This is both an advanced undergraduate and introductory graduate course, and it is cross-listed as 15-468 (for undergraduate students), 15-668 (for Master's students), and 15-868 (for PhD students). Please make sure to register for the section of the class that matches your current enrollment status.

Rendering competition

The results are available in the rendering competition page.

Prerequisites

This course requires familiarity with linear algebra, calculus, programming, data structures, algorithms, and doing computations with images. In particular, either of the following courses can serve as proof that you satisfy these prerequisites:

If you want to enroll but have not taken any of the above courses, please make sure to contact the instructor! We make a lot of exceptions each year, on a case-by-case basis.

Textbook

Readings will be assigned primarily from the following textbooks, which can also be useful references in general. All of them are available online from the CMU library:

Lectures

Lectures will take place in hybrid mode, in person and also broadcast on Zoom. See the course's Canvas page for Zoom meeting links. Recordings of the lectures will be made available on Canvas after each lecture.

Evaluation

Your final grade will be made up of:

Programming assignments: The series of programming assignments (PAs) involves starting from a very basic ray tracing framework, and using it to implement increasingly more sophisticated rendering capabilities. Programming will be done in C++.

Take-home quizzes: Take-home quizzes (TQs) will each require solving two-three theory questions related to the corresponding week's two lectures. Answers will need to be typed in LaTeX.

Final project and rendering competition: Towards the end of the semester, each student will work on a project of their own choosing. The purpose of the project is to enhance your renderer with advanced features, and use it to generate images that are both physically accurate and artistically compelling. Each student will submit an image they produce for consideration in an end-of-semester competition, judged by other faculty and graduate students at CMU. Submissions will be selected for a technical award and an art award, and the two winning students will receive free registrations for SIGGRAPH 2021. Note that you will also receive a separate grade, independently of the results of the competition. Note also that final project presentations will be scheduled during the final exam period. Details are available in the final project page.

Submitting homework and deadlines: We will use Canvas for submitting and grading homeworks.

Late days: For the programming assignments, students will be allowed a total of six free late days. Any additional late days will each incur a 10% penalty. Additionally, no programming assignment may be submitted more than three days after its due date. Please note that submission deadlines will be enforced strictly for the purposes of counting late days. In particular, no exceptions will be made for reasons such as upload delays, submitting incorrect files, and so on.

Missed quizzes: For the take-home quizzes, students will be allowed to completely skip a total of three quizzes without penalty. Students may submit more than seven quizzes for extra credit, e.g., submitting perfect solutions to ten quizzes will contribute to your final grade as 20% standard and 8.6% extra credit. There are no free late days for quizzes, and any late quiz will receive zero credit.

Collaboration policy: Students are encouraged to work in groups but each student must submit their own work. This includes: writing your own code, rendering your own scenes, coming up with your own math solutions, and producing your own writeup. If you work as a group, include the names of your collaborators in your writeup. You absolutely should not share or copy code. Additionally, you should not use any external code unless explicitly permitted. Plagiarism is strongly prohibited and will lead to failure of this course.

15-668, 15-868: Students taking 15-668 or 15-868 will be required to do a more substantial final project, as well as submit a longer paper describing their project.

Discussion

Piazza: We will use Piazza for course discussion and announcements.

Slack: In addition to Piazza, we will use a Slack server for more direct discussion about all matters relating to the course, and rendering in general. Please see the Piazza page for details on how to join the Slack server.

Email and Office Hours

Email: Please use [15468] in the title when emailing the teaching staff!

Office hours: Teaching staff will have regular office hours throughout the semester. The exact times will be announced later in the semester.

All office hours will take place on Zoom. See the course's Canvas page for Zoom meeting links.

Feel free to email us about scheduling additional office hours.

Interested in research?

We are actively looking for students at all levels (undergraduates, MS, PhD) to help in projects on various aspects of rendering, computational photography, imaging, and graphics in general. If you are interested, please send Yannis an email (or talk to him in person in class).

You should also take a look at the graphics lab and imaging group websites, to find more information about related projects here at CMU.

Finally, you are welcome to attend the weekly graphics lab meetings during the semester. If you want to receive announcements about the meetings, as well as other emails regarding rendering and graphics, please ask Yannis to add you to the graphics lab's mailing list.

(Tentative) Syllabus

Slides will be uploaded on this website before each lecture.

DateTopicsSlidesHomework
Tu, Feb 2Introductionpptx, pdf
Th, Feb 4Ray tracing and geometric representationspptx, pdf
Tu, Feb 9Ray tracing and simple shadingpptx, pdfTQ1 out
Th, Feb 11More shadingpptx, pdf
Fr, Feb 12PA1 out
Tu, Feb 16Texture mappingpptx, pdfTQ1 due, TQ2 out
Th, Feb 18Fermat's principle (notes)
Tu, Feb 23No class (Break Day)TQ2 due
Th, Feb 25Procedural texturespptx, pdf
Fr, Feb 26Reading group: specular next-event estimationPA1 due, PA2 out
Tu, Mar 2Radiometrypptx, pdfTQ3 out
Th, Mar 4Monte Carlo integrationpptx, pdf
Tu, Mar 9Direct illuminationpptx, pdfTQ3 due, TQ4 out
Th, Mar 11Multiple importance sampling
Fr, Mar 12Reading group: Metropolis light transportPA2 due, PA3 out
Tu, Mar 16Rendering equation and path tracingpptx, pdfTQ4 due, TQ5 out
Th, Mar 18Path integral formulationpptx, pdf
Fr, Mar 19Reading group: Optimal multiple importance samplingPA2 due, PA3 out
Tu, Mar 23Bidirectional light transportpptx, pdfTQ5 due
Th, Mar 25No class (Yannis away)
Fr, Mar 26PA3 due, PA4 out
Tu, Mar 30Bidirectional light transport (continued)pptx, pdfTQ6 out
We, Mar 31Photon mapping (extra lecture)pptx, pdf
Th, Apr 1Microfacet BRDFspptx, pdf
Fr, Apr 2Reading group: ReSTIR
Tu, Apr 6Participating mediapptx, pdfTQ6 due, TQ7 out
Th, Apr 8Participating media (continued)pptx, pdf
Fr, Apr 9Reading group: BRDF acquisitionPA4 due
Tu, Apr 13Volumetric path tracingpptx, pdfTQ7 due, TQ8-9 out
Th, Apr 15No class (Carnival)
Tu, Apr 20Volumetric path tracing (continued)pptx, pdf
Th, Apr 22Quasi-Monte Carlo samplingpptx, pdf
Tu, Apr 27No classTQ8-9 due, TQ10 out
Th, Apr 29Guest lectures: Adithya Pediredla, Bailey Miller
Tu, May 4Inverse and differentiable renderingpptx, pdf
Th, May 6Wrap uppptx, pdfTQ10 due
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Acknowledgments

The materials for this course have been pieced together from many different people and places. The instructor is particularly indebted to Wojciech Jarosz and Wenzel Jakob, who generously provided the materials of their courses at Dartmouth and EPFL, respectively. These materials formed the basis for the first offering of this course. Special thanks to the following colleagues for sharing their course materials or making them available online (in alphabetical order): Steven Gortler, Pat Hanrahan, Steve Marschner, Srinivasa Narasimhan, Matt Pharr, Matthew O'Toole, Ravi Ramamoorthi, Todd Zickler. Individual slides and homework assignments include their own credits.