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Department of Computer Science, School of Computing
Korea Advanced Institute of Science and Technology (KAIST)

CS580: Computer Graphics, KAIST, ǻ ׷Ƚ, ī̽Ʈ


CS580: Computer Graphics (S22)

Focus on Physically based Rendering (and a bit on Deep learning based Rendering)

Instructor: Sung-eui Yoon


First class: Feb-28 (Mon.) (please watch the first youtube video for more information)
Class KLMS
Important Forms/Links:
  • Questions for the Class
  • Paper Video Abstract
  • Lecture Videos
  • Zoom Session
  • Textbook:
    Rendering
    Sung-eui Yoon
    1st edition, July 2018, 148 pages
    Sung-eui Yoon
    Copyright 2018

    Summary of undergraduate CG Course

    Class photo at 2019.06.04

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    Outline

  • Course overview
  • Lectures and tentative schedule
  • Student presentations
  • Additional reference materials
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    Course overview

    Fig. 1, Photo-realistic image generated by ray tracing method. (Image excerpted from PovRay homepage)

    Photo-realistic rendering has been one of major topics in the fields of computer graphics and visualization. Various global illumination methods have been developed to achieve such photo-realistic rendering given a model. Such methods have been widely used in various applications including movies, product designs, and virtual prototyping. However, we are still unable to provide interactive performance for global illuminations producing photo-realistic rendering results.

    In this class, we will study basic global illumination methods as well as basic concepts (e.g., texture, lighting, shading) of computer graphics. In addition, we will discuss recent rendering techniques for complex scenes and interactive techniques for various applications.

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    Lecture schedule (subject to change)

    # of lecture, date Topics and slides Related material(s) Update time and notice
    01. 2022-02-28 Overview Video Updated: 2022-02-27
    02. 2022-03-02 Ray Tracing Video, PA1(OptiX, Embree) Updated: 2022-02-28
    03. 2022-03-07 Radiosity Video Updated: 2022-03-05
    04. 2022-03-09 Presidential election
    05. 2022-03-14 Radiometry Updated: 2022-03-13
    06. 2022-03-16 Monte Carlo Integration Updated: 2022-03-15
    07. 2022-03-21 -
    08. 2022-03-23
    09. 2022-03-28 Monte Carlo Ray Tracing Updated: 2022-03-26
    10. 2022-03-30
    11. 2022-04-04
    12. 2022-04-06
    13. 2022-04-11
    14. 2022-04-13
    15. 2022-04-18
    16. 2022-04-20
    17. 2022-04-25 Student Presentation(Donggun, Kiseok)
    18. 2022-04-27 Student Presentation(Dongyoung)
    19. 2022-05-02 Student Presentation(Kyubeom)
    20. 2022-05-04 Student Presentation(Yekwon)
    21. 2022-05-09 Mid-term Project Presentation(T1, T2, T3)
    22. 2022-05-11 Mid-term Project Presentation(T4, T5)
    17. 2022-05-16 Student Presentation(Jaemin)
    18. 2022-05-18 Student Presentation(Seokhyeon, Sangwon)
    19. 2022-05-23 Student Presentation(Jaehoon)
    20. 2022-05-25 Student Presentation(Olivia)
    21. 2022-05-30 Final Project Presentation(T1, T3)
    22. 2022-06-08 Final Project Presentation(T2, T4, T5)
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    Student presentations and reports

    Student projects (Accessible only in KAIST)

    Student presentations and projects at 2016

    Student presentations and projects at 2013

    Student presentations and projects at 2010

    Student presentations and projects at 2008

    Student projects at 2007

    For your presentations, you can use this template.

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    Additional reference materials and links

    Ray tracing in one weekend

    SIGGRAPH course notes

    Public software:

  • Lux Render
  • Open Source RenderMan

  • Paper search:

  • Google scholar
  • Tim Rowley's graphics paper collections
  • Ke-Sen Huang's graphics paper collections
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    Acknowledgements: The course materials are built upon graduate courses offered at UNC-Chapel Hill and Prof. Kavita Bala's course slides. Particularly, I'd like to thank Kavita Bala; some of slides are directly excerpted from her slides on advanced computer graphics. Thank you so much! Line

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