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=== Lesson01 "Advanced Material Appearance Modeling" === | === Lesson01 "Advanced Material Appearance Modeling" === | ||

* Lecture schedule | * Lecture schedule |

## Revision as of 08:49, 8 September 2015

# Realistic Image Synthesis (Course Materials)

## Contents

- 1 Realistic Image Synthesis (Course Materials)
- 1.1 Lesson01 "Advanced Material Appearance Modeling"
- 1.2 Lesson02 "Advanced Material Appearance Modeling"
- 1.3 Lesson03 "Advanced Material Appearance Modeling"
- 1.4 Lesson04 "Rendering Equation"
- 1.5 Lesson05 "Monte Carlo Integration"
- 1.6 Lesson06 "Density Estimation"
- 1.7 Lesson07 "Rendering Participating Media"
- 1.8 Homeworks
- 1.9 What you Need to Pass

### 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