Stanford CS348B, Spring 2022
IMAGE SYNTHESIS TECHNIQUES
High-quality rendering is ubiquitous today, with applications ranging from entertainment to product design and architecture. The goal of this course is to provide a deep understanding of the fundamental mathematical and physical principles that are the basis of modern physically based rendering while also introducing the design principles and engineering trade-offs involved in designing and implementing high-performance rendering systems.
Basic Info
Tues/Thurs 3:15-4:45pm
Location: 380-380F
See the course info page for more info on policies and logistics.
Spring 2022 Schedule
| Mar 29 |
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How advanced image synthesis is used in the real world, review of ray tracing basics
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| Mar 31 |
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Representing rays, ray-object intersection methods, acceleration structures, pbrt basics
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| Apr 05 |
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how to build acceleration structures efficiently (two-level, refitting, incremental builds), advanced primitive types, tessellation, numerical precision issues
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| Apr 07 |
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Definition of radiometric quantities, the light field, integrating total energy falling on surfaces
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| Apr 12 |
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Sampling from distributions and shapes, numerical estimation of illumination
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| Apr 14 |
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Basics of how lenses and sensors work, motion blur and depth of field
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| Apr 19 |
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Primal and Fourier space representations of signals, convolution theorem, sampling theorem, aliasing and anti-aliasing
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| Apr 21 |
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BRDFs, the reflection equation, basic reflection models
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| Apr 26 |
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Advanced surface models
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| Apr 28 |
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Monte Carlo estimation of the reflection equation, sampling lights and BRDFs
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| May 03 |
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Monte Carlo variance reduction techniques, stratified sampling, importance sampling
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| May 05 |
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The rendering equation, path tracing, Russian roulette, path guiding
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| May 10 |
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Light tracing, bidirectional path tracing, photon mapping
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| May 12 |
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Scattering and phase functions, the volume rendering equation, null scattering
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| May 17 |
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Final Project Proposals
Slide presentations and discussion
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| May 19 |
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Reflection Models 3: Subsurface Scattering and Anisotropy
Anisotropic surfaces, subsurface scattering
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| May 24 |
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Real-time Ray Tracing and Machine Learning-Based Denoising
Algorithms for reducing variance at low sampling count (ReSTIR), DNN-based denoising
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| May 26 |
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Monte Carlo 2: Low Discrepancy Sampling
Discrepancy and Quasi-Monte Carlo, low-discrepancy constructions, spectral analysis of sampling
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| May 31 |
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Warped Graphics
A survey of warped and eclectic rendering techniques
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| Jun 02 |
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Course Wrapup
Class discussion about ongoing research in advanced rendering and how to get involved
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Assignments
| Apr 12 | HW 1: PBRT Lighting Design |
| Apr 21 | HW 2: A Ray Marching-Based Distance Estimator |
| May 3 | HW 3: Light Field Cameras |