Module Number

ML-4361 		Module Title

Hands-on AI based 3D Vision 		Lecture Type(s)

Lecture, Tutorial
ECTS 6
Work load
- Contact time
- Self study
Workload:
180 h
Class time:
60 h / 4 SWS
Self study:
120 h
Duration 1 Semester
Frequency Irregular
Language of instruction English
Type of Exam

Oral/written depending on number of students
Content

The goal of this lecture is to learn the most recent AI 3D vision techniques for understanding and reconstructing the 3D world from videos and images. We will cover the fundamentals of multiple view geometry and quickly dive into the most recent methods covering Nerf, Gaussian Splats, 3D diffusion models and token based reconstruction methods. There will be practical assignments. In contrast to the computer vision lecture, which is of broader scope, the focus here will be on recent AI advances in the field of 3D computer vision.
Objectives

Understand the mathematical tools and 3D vision techniques, from the fundamentals to the most recent AI based techniques. Students should be able to apply the concepts in practice, develop and train models, reproduce research and conduct original research in this area.
Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Prerequisite for participation There are no specific prerequisites.
Lecturer / Other Pons-Moll
Literature

-
Last offered unknown
Planned for Sommersemester 2025
Assigned Study Areas ML-DIV