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Digital Humans
Last Updated: 2026-06-03 00:14:10
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)
- Main link
- Information
General Information
- Language
- English
- Levels
- BSC , MSC , WBZ
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Digital Humans |
|
3 h weekly |
| exercise | Digital Humans |
|
2 h weekly |
| independent project | Digital Humans | No time listed | 2 h weekly |
Offered In
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Additional Electives from the Fields of Specialization (CSE Master) (recognition of 227-0662-00L and 227-0662-10L requires the successful completion of both course units)
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Deep Track Courses (At least 20 credits must be completed within the deep track courses. Surplus credit points can be counted towards the electives.)
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Deep Track Robotics (These courses can be credited either as a specialization subject or as an elective subject.)
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