News

Reminder: No lecture this week

Written on 18.11.24 by Thomas Leimkühler

As announced last week, the next lecture is scheduled for Nov. 27.

Exam dates

Written on 18.10.24 by Thomas Leimkühler

The exam dates have been finalized.

The final exam is scheduled for February 24th, from 14:00 to 16:00.

The re-exam is scheduled for March 17th, from 14:00 to 16:00.

Both exams will take place in E1.3, lecture hall 003.

First session on Oct 16

Written on 14.10.24 by Thomas Leimkühler

Our first session will be on Wednesday, Oct 16, at 2 PM in lecture hall 003, building E1.3. In this session, we will cover the course logistics and provide an overview of the content discussed in the subsequent lectures.

Advanced Topics in Neural Rendering and Reconstruction

 

Course Description

Neural rendering and reconstruction form the foundation of digitizing the physical world, with applications in virtual/augmented reality (VR/AR), film production, robotics, and beyond. This course explores advanced topics in this space, emphasizing data-driven approaches using neural models. After reviewing the basics of computer graphics and machine learning, we will delve into 3D scene representation and reconstruction using differentiable rendering, generative models, morphable models, human reconstruction and synthesis, and quantum visual computing.

 

Schedule and other details

Course webpage: https://vcai.mpi-inf.mpg.de/teaching/vcai_lecture_WS2425/

Format: 1 lecture per week, in-person attendance

Time: Wednesdays, 14:15-15:45

Location: Lecture hall 003 in E1 3

Credit Points: 3 CP

Exam:  Final exam: 24.02., 14:00-16:00.
             Re-exam: 17.03., 14:00-16:00.
             Both exams will be held in E1.3, lecture hall 003.

 

Prerequisites

The course is tailored towards students of Visual Computing (M.Sc.), Computer Science (M.Sc.) and Data Science and Artificial Intelligence (M.Sc.).

It is preferred, but not necessarily required, that students have already studied Image Processing and Computer Vision and Computer Graphics 1, or something equivalent.

 

Course Content

Topics Date
Introduction and Overview 16.10.
Computer Graphics Basics 23.10.
Deep Learning for Visual Computing 30.10.
Generative Models 06.11.
3D Scene Representations 13.11.
Neural Scene Reconstruction 27.11.
3D Generative Models 04.12.
Differentiable Rendering 11.12.
Morphable Models for Geometry and Appearance 18.12.
Human Reconstruction 08.01.
Motion Reconstruction and Synthesis 15.01.
Quantum Visual Computing, Part 1 22.01.
Quantum Visual Computing, Part 2 29.01.
Revision 05.02.

 

 

 

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