Main Page

Registration for this course is open until Friday, 29.11.2024 23:59.

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.