CS348I: Computer Graphics in the Era of AI

Fall 2021, Mon Wed 1:30--3:00pm, 200-303

teaser

Description

This course introduces deep learning methods and AI technologies applied to four main areas of Computer Graphics: rendering, geometry, animation, and computational photography. We will study a wide range of problems on content creation for images, shapes, and animations, recently advanced by deep learning techniques. For each problem, we will understand its conventional solutions, study the state-of-the-art learning-based approaches, and critically evaluate their results as well as the impacts to researchers and practitioners in Computer Graphics. The topics include differentiable rendering/neural rendering, BRDF estimation, texture synthesis, denoising, procedural modeling, mesh segmentation, view prediction, colorization, style transfer, sketch simplification, character animation, physics simulation, and facial animation. Through programming projects and homework, students who successfully complete this course will be able to use neural rendering algorithms for image manipulation, to apply neural procedural modeling for shape and scene synthesis, to implement policy learning algorithms for creating character animation, and to exploit data-driven methods for simulating physical phenomena.

Prerequisites: CS229, CS231N, or an equivalent intro machine learning course. CS148/248 is recommended but not required.

Announcement: Fall 2021 students, please join Piazza for discussion. All future announcements will be made through Piazza. We will also have polls on Piazza to help people know each other and find teammates.

Staff

C. Karen Liu
Instructor
Jiajun Wu
Instructor
Samuel Clarke
CA

Office Hours: The schedule and Zoom links or locations are available on Canvas.
  • Karen: Monday 4pm--5pm
  • Jiajun: Friday 9:30am--10am
  • Samuel: Wednesday and Thursday 10am-11:30am. If you want to request office hours other than this time, please contact Samuel at spclarke at stanford.

Schedule

Date Lecture Instructor Deliverables
09/20/2021 Introduction
Lecture (90 min)
Karen Liu
09/22/2021 Geometry
Introduction (80 min) + Preview for next papers (10 min)
Jiajun Wu
09/27/2021 Geometry
Discussion (80 min) + Preview for next papers (10 min)
Jiajun Wu
09/29/2021 Geometry
Discussion (80 min)
Jiajun Wu
10/04/2021 Imaging
Guest lecture (80 min) + Preview for next Papers (10 min)
Marc Levoy
10/06/2021 Imaging
Discussion (80 min) + Preview for next papers (10 min)
Jiajun Wu
10/11/2021 Imaging
Discussion (80 min)
Jiajun Wu Project released
10/13/2021 Rendering
Guest lecture (80 min) + Preview for next papers (10 min)
Vincent Sitzmann
10/18/2021 Rendering
Discussion (80 min) + Preview for next papers (10 min)
Jiajun Wu
10/20/2021 Rendering
Discussion (80 min)
Jiajun Wu
10/25/2021 Project proposal discussion Karen Liu, Jiajun Wu Project proposal due
10/27/2021 Animation
Introduction (80 min) + Preview for next papers (10 min)
Karen Liu
11/01/2021 Animation
Discussion (80 min) + Preview for next papers (10 min)
Karen Liu
11/03/2021 Animation
Discussion (80 min) + Conclusion (10 min)
Karen Liu
11/08/2021 Animation
Guest lecture (80 min)
Jason Peng
11/10/2021 Physics Simulation
Introduction (80 min) + Preview for next papers (10 min)
Karen Liu
11/15/2021 Physics Simulation
Discussion (80 min) + Preview for next papers (10 min)
Karen Liu
11/17/2021 Physics Simulation
Discussion (80 min) + Conclusion (10 min)
Karen Liu
11/29/2021 Final project presentations Karen Liu, Jiajun Wu
12/01/2021 Final project presentations Karen Liu, Jiajun Wu
12/03/2021 Project report due