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263-5906-00L 5 Credits MSC , WBZ D-ITET , D-INFK , D-MATH

Virtual Humans

Lecturers & Examiners: Prof. Dr. Siyu Tang
VVZ CR n/a

Last Updated: 2026-02-05 16:07:51

Abstract

Human digitalization is required in many applications, such as AR/VR, robotics, games, and social networking. The course covers core techniques and fundamental tools necessary for perceiving and modeling humans. The main topics include human body modeling, human appearance and motion modeling, and human-scene interaction capture and modeling.

Objective

After attending this course, students will be able to implement basic systems to estimate human pose, shape, and motion from videos; furthermore, students will be able to create basic human avatars from various visual inputs.

Content

We will focus on all aspects of 3D human capture, modelling, and synthesis, including ⁃ Basic concept of 3D representations ⁃ Human body models; ⁃ Human motion capture; ⁃ Non-rigid surface tracking and reconstruction; ⁃ Neural rendering

Resources

Lecture Notes

Slides

Literature

Computer Vision: Algorithms and applications by Richard Szeliski. Deep Learning: by Goodfellow, Bengio, and Courville

Learning Materials (Links)

General Information

Language
English
Levels
MSC , WBZ
Frequency
Yearly recurring

Examination

Type
graded semester performance
No final exam, but evaluation during semester (project).Grading scheme:1. 25%: Paper presentation (incl. discussion moderation);2. 75%: Final project which includes a report and presentation/demo

Course Components

Type Title Time & Place Hours
lecture Virtual Humans
  • Tue 14:15-16:00 (CAB G 51)
2 h weekly
exercise Virtual Humans
  • Thu 14:15-15:00 (CAB G 59)
1 h weekly
independent project Virtual Humans No time listed 1 h weekly

Offered In