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= Realistic Image Synthesis (Course Materials) =
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__TOC__
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=== Lesson01 "Advanced Material Appearance Modeling" ===
 
=== Lesson01 "Advanced Material Appearance Modeling" ===
 
* Lecture schedule
 
* Lecture schedule
Riadok 45: Riadok 48:
 
=== Lesson07 "Rendering Participating Media" ===
 
=== Lesson07 "Rendering Participating Media" ===
 
* Theoretical background
 
* Theoretical background
** Methods for rendering participating
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** Methods for rendering participating media
media
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* Lecture notes: Wojciech Jarosz [[media:ris_lesson07.pdf|lesson07.pdf]]
 
* Lecture notes: Wojciech Jarosz [[media:ris_lesson07.pdf|lesson07.pdf]]
  

Aktuálna revízia z 07:49, 8. september 2015

Realistic Image Synthesis (Course Materials)

Lesson01 "Advanced Material Appearance Modeling"

  • Lecture schedule
  • "Terms and conditions" of this lecture
  • Introduction
  • Background
  • Specialized Material Models:
    • Common Themes
  • Lecture notes: Julie Dorsey and Holly Rushmeier, Advanced Material Appearance Modeling, SIGGRAPH 2009 Course lesson01.pdf

Assigment 1: Install and read about the luxrender it's a sophisticated physically-based rendering system, originally forked from pbrt. Its goals include physical correctness.

Lesson02 "Advanced Material Appearance Modeling"

  • Natural Materials
  • Lecture notes: Julie Dorsey and Holly Rushmeier, Advanced Material Appearance Modeling, SIGGRAPH 2009 Course lesson01.pdf

Lesson03 "Advanced Material Appearance Modeling"

  • Manufactured/Processed Materials
    • Aging and Weathering Processes:
    • Taxonomy
    • Simulation
    • Capture Approaches
  • Current Trends and Needs
  • Lecture notes: Julie Dorsey and Holly Rushmeier, Advanced Material Appearance Modeling, SIGGRAPH 2009 Course lesson01.pdf

Lesson04 "Rendering Equation"

  • Rendering Equation
    • Path tracing
    • Path Formulation
    • Various path tracing algorithms
  • Lecture notes: Philip Dutré lesson04.pdf

Lesson05 "Monte Carlo Integration"

  • Blind Monte Carlo Integration
    • Intelligent Monte Carlo Integration
    • Discrepancy and Basic Quasi Monte-Carlo Sampling
    • Direct Lighting Computation
  • Lecture notes: Philip Dutré lesson05.pdf

Assigment 2: Assigment2.pdf

Lesson06 "Density Estimation"

  • Density estimation background
    • Density estimation methods
    • Global illumination algorithms based on density estimation
  • Lecture notes: Philppe Bekaert lesson06.pdf

Lesson07 "Rendering Participating Media"

  • Theoretical background
    • Methods for rendering participating media
  • Lecture notes: Wojciech Jarosz lesson07.pdf

Homeworks

  • brdflab: an open source tool to design, fit and render BRDFs. Aplikacia.


What you Need to Pass

  • Attend lessons. All lessons attended is +10 points. One missed +0 points. 2 missed 0 points, 3 missed 0 points, 4 and more is Fx.
  • Solve all homework problems (mandatory each one >=30%, 30 points)
  • Summary
    • Attendance = 0 or -100 (Fx)
    • Homework = +100..30 or +30..0 (Fx)
  • Grades
    • A = 92-130
    • B = 84-91
    • C = 76-83
    • D = 68-75
    • E = 60-67
    • Fx = 0-49