Weekly checklist

Week 5

1 You should be able to complete the exercises in Coursework 1 by the end of this week.
2 Design the scene for your animation for CW1. Rendering the frames might take some time, so better not to leave this for the last day.
3 Catch up with the reading task (to be posted after Thursday's lecture)

Week 4

1 Please attend Tutorial 1 this week. The TA will describe how these exercises may be solved. You may also ask him general questions about CW1.

Week 3

1 Coursework 1 for CGR is now published. Please read the specs carefully.
2 Aim to complete the first 2 exercise questions by Wed and the third exercise by the end of this week.
3 Plan your scene and write down ideas for animation and virtual objects to insert.

Week 2

1 Download and install blender!
2 Use an online tutorial such as this to explore blender. What interesting shape can you make?

Week 1

- First lecture on Thursday 19th Sep 2024!
1 Set up your Large language model (LLM) of choice. It is recommended that you use the free version of OpenAI's ChatGPT by signing up. Alternatively, you may use Edinburgh Uni's very own ELM, Llama or any other open source LLM at your own risk. We have only tested the feasibility of the coursework with ChatGPT.
2 It is also recommended that you sign up for a free account for co-pilot which is another tool that can help with C++ code generation. If you plan to use this tool, it is strongly recommended that you use the free (student) edition rather than the trial which will expire midway through the course. For this, sign up to GitHub's global campus using your university email and student id. First, your application will be approved and then you will have access to the benefits (including co-pilot).
3 Both the above steps could take some time for approval. So, please do this as soon as possible.

Week 0

1 Register for the course.
2 Check that you have access on Learn to the course's Piazza page.
3 Check the course website.

Contact

Instructor TA
Kartic Subr Krzysztof Grykiel
  • Weeks 1-10: Lectures on Tue and Thu at 13:10 in LG.09, 40 George Square Lower Teaching Hub
  • Weeks 4 and 8: Tutorials on Mon (10:00), Thu (09:00), Fri (14:00) in Appleton Tower 5.04
  • Week 7: CW1 presentations on 29 Oct (13:10), 30 Oct (13:10), 1 Nov (12:10) in LG.09
  • Week 11: CW1 presentations on 26 Nov (13:10), 28 Nov (13:10), 29 c (12:10) in LG.09

Course guidelines

  • Please remember the good scholarly practice requirements of the University regarding work for credit, with guidance and further links here.
  • The deadline and late policy for this assignment are specified on Learn in the "Coursework Planner". Guidance on late submissions is here .
  • There is no exam for this course.
  • Final marks will be the average of 2 coursework (CW) assignments, each worth 100 marks.
  • Expect about 1 to 1.5h of independent effort per day towards this course.
  • 10% of each CW will be assessed via a presentation. In case of exceptions, please contact the instructor.

Lectures

# Lecture Title Date Slides Reading
1 Introduction 19/09 .pptx .pdf
2 Imaging: radiometry and photometry 24/09 .pptx .pdf PBR Ch 5.4
3 Cameras 26/09 .pptx .pdf
4 Basic Modelling 01/10 .pptx .pdf
5 Raytracing: introduction 03/10 .pptx
6 Raytracing: advanced 08/10 .pptx .pdf
7 Numerical integration 12/10 .pptx code (.zip) .pdf
8 Monte Carlo Integration 15/10 .pptx code (.m)
10 ----- TBD ------ 17/10
11 C++ Programming with GPT and co-pilot 22/10
12 Light transport: path tracing 24/10
Presentations: CW1 29/10
Presentations: CW1 31/10
Presentations: CW1 01/11
13 Sampling and reconstruction 05/11
14 Sampling II 07/11
15 Volume Scattering 12/11
16 Video lecture: Fast rendering pipelines I 14/11
17 Video lecture: Fast rendering pipelines II 19/11
18 Machine learning in rendering, conclusion and goodbyes 21/11
Presentations: CW2 26/11
Presentations: CW2 28/11
Presentations: CW2 29/11

* tentative topic-list (above) may be adapted to accommodate dynamic requirements.

Schedule

Tutorials

# week topic files
1 4 Coursework 1 assistance .pdf
2 8 Coursework 2 assistance

Coursework

# topic issued due files
1 Augmented reality 30-09-2024 12pm (noon) 25-10-2024 .pdf

Books

There is no text book for this course but the following books might help support your learning. You are not expected to purchase these books.


Matt Pharr, Greg Humphreys & Wenzel Jakob,
Physically Based Rendering (Third edition)

The book is currently freely available online.

Peter Shirley, Trevor David Black & Steve Hollasch,
Ray tracing in one weekend

The book is currently freely available online.

Steve Marschner & Peter Shirley
Fundamentals of Computer Graphics

The book is available for free online access in our library.


Other resources

  1. Tutorials on Blender
  2. Introduction to computer graphics by Steve Marschner, Cornell University.