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263-5806-00L 8 Credits BSC , MSC , WBZ D-ITET , D-MAVT , D-INFK , D-MATH , D-PHYS , D-ERDW
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Digital Humans

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

Last Updated: 2026-06-01 11:33:07

Abstract

This course covers the core technologies required to model and simulate motions for digital humans. The curriculum includes human body modeling, human motion capture, data-driven human motion synthesis, and ML-based generative models. Each topic will be extensively illustrated with examples to provide a comprehensive understanding of the subject matter.

Objective

Students will learn how to estimate human pose, shape, and motion from videos and create basic human avatars from various visual inputs. Students will also learn how to represent and algorithmically generate motions for digital characters. The lectures are accompanied by exercise sessions and a capstone project.

Content

- Basic concepts of 3D representations - Human body/hand models - Human motion capture; - Neural rendering - Transformers - Generative models for digital humans

Resources

Learning Materials (Links)

General Information

Language
English
Levels
BSC , MSC , WBZ
Frequency
Yearly recurring

Examination

Type
graded semester performance
The grade will be determined by 40% interim examination and 60% final project presentation and report.

Course Components

Type Title Time & Place Hours
lecture Digital Humans
  • Tue 14:15-17:00 (LFO C 13)
3 h weekly
exercise Digital Humans
  • Thu 16:15-18:00 (ETF E 1)
2 h weekly
independent project Digital Humans No time listed 2 h weekly

Offered In