CS348I: Computer Graphics in the Era of AI

Winter 2024, Tue Thurs 1:30--3:00pm, 260-113

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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 in 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 on 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, apply neural procedural modeling for shape and scene synthesis, implement policy learning algorithms for creating character animation, and 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: Winter 2024 students, please join Ed for discussion.

Grading:
  • Paper presentations: 48%
  • Discussions: 10%
  • Quiz: 12%
  • Final project: 30%

Staff

C. Karen Liu
Instructor
Jiajun Wu
Instructor
Congyue Deng
CA

Office Hours: The schedule and Zoom links or locations are available on Canvas.
  • Karen: Tuesday 9:30am-10:30am
  • Jiajun: Check Calendly, https://calendly.com/jiajunwu/cs348i-oh
  • Congyue: Thursday 3:00pm-4:30pm. If you want to request office hours other than this time, please contact Congyue at congyue [at] stanford [dot] edu

Schedule

Date Lecture Instructor Deliverables
01/09/2024 Introduction Karen Liu
01/11/2024 Geometry + Rendering Jiajun Wu
01/16/2024 Geometry Jiajun Wu
01/18/2024 Geometry + Rendering Jiajun Wu Quiz 1
01/23/2024 Rendering Jiajun Wu Quiz 2
01/25/2024 Imaging Jiajun Wu
01/30/2024 Imaging Jiajun Wu Quiz 3
02/01/2024 Animation + Simulation Karen Liu
02/06/2024 Simulation Karen Liu Quiz 4
02/08/2024 Animation Karen Liu
02/13/2024 Animation Karen Liu Quiz 5
02/14/2024 Project proposal due Congyue Deng
02/15/2024 Project proposal discussion Jiajun Wu
02/20/2024 Project proposal discussion Karen Liu
02/22/2024 Guest lecture: Geometry Lior Yariv
02/27/2024 Guest lecture: Simulation Minchen Li
02/29/2024 Guest lecture: Imaging Chenlin Meng
03/05/2024 Guest lecture: Rendering Ben Mildenhall
03/07/2024 Guest lecture: Animation Alex Clegg
03/12/2024 Final project presentation and demo Karen Liu, Jiajun Wu
03/14/2024 Final project presentation and demo Karen Liu, Jiajun Wu
03/15/2024 Final project due Congyue Deng