m (Durikovic premiestnil stránku Realistic Image Synthesis na Course:Realistic Image Synthesis/sk) 

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Latest revision as of 09:36, 11 September 2017
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 physicallybased 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 MonteCarlo 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 = 92130
 B = 8491
 C = 7683
 D = 6875
 E = 6067
 Fx = 049