The schedule is not final and subject to change during the course. See also the syllabus for more details about the course.

Date	Topic & Materials	Assignments	Date	Topic & Materials	Assignments
Aug 30	Introduction, realistic rendering	Assignment 1: Getting started	Sep 1	Acceleration structures
Sep 6	Radiometry		Sep 8	Monte Carlo integration	Assignment 2: Sample warping, point lights, ambient occlusion
Sep 13	Monte Carlo integration II, BRDF, reflection integral		Sep 15	BRDF, reflection integral
Sep 20	Rendering Equation		Sep 22	Advanced sampling techniques (MIS)	Assignment 3: Area lights, dielectrics, Whitted style ray tracing
Sep 27	Bidirectional Path Tracing Brief Intro to MC Rendering.pdf		Sep 29	Participating media, subsurface scattering; Advanced appearance models
Oct 4	Intro deep learning, neural networks		Oct 6	Denoising	Assignment 4: Microfacet BRDF, path tracing
Oct 11	Denoising		Oct 13	Neural Importance Sampling Neural Radiosity
Oct 18	3D Geometry Processing: introduction, shape representation		Oct 20	3D Point clouds: surface reconstruction
Oct 25	Scene reconstruction from images I	Assignment 5: Inverse rendering Slides	Oct 27	Scene reconstruction from images II
Nov 1	Scene reconstruction from images II		Nov 3	NeRF-based avatars, Scene reconstruction from images III
Nov 8	Shape analysis: deep learning architectures		Nov 10	Shape analysis: deep learning architectures
Nov 15	Shape synthesis: supervised learning	Final project details	Nov 17	Shape synthesis: generative modeling
Nov 22	Shape synthesis: generative modeling		Nov 24	Thanksgiving
Nov 29	Generative shape modeling: applications		Dec 1	Controllable synthesis
Dec 6	Review, rendering		Dec 8	Review, deep learning & 3D geometry

The final exam for the course will follow the official final exam schedule as published on testudo Links to an external site.: the exam will take place on Saturday December 17 from 10:30am-12:30pm in CSI1122.