News
Slight adjustment to lecture scheduleWritten on 06.01.25 (last change on 06.01.25) by Thomas Leimkühler Happy New Year to everyone! Please note a slight adjustment to the lecture schedule: - Quantum Visual Computing sessions will take place on 08.01. and 15.01. - Human Reconstruction will follow on 22.01. - Motion Reconstruction and Synthesis is scheduled for 29.01. The final session on… Read more Happy New Year to everyone! Please note a slight adjustment to the lecture schedule: - Quantum Visual Computing sessions will take place on 08.01. and 15.01. - Human Reconstruction will follow on 22.01. - Motion Reconstruction and Synthesis is scheduled for 29.01. The final session on 05.02., which remains unchanged, will focus on course review and exam preparation. All changes are reflected on the lecture webpage and the CMS main page. |
Reminder: No lecture this weekWritten on 18.11.24 by Thomas Leimkühler As announced last week, the next lecture is scheduled for Nov. 27. |
Exam datesWritten 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 16Written 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. |
| Quantum Visual Computing, Part 1 | 08.01. |
| Quantum Visual Computing, Part 2 | 15.01. |
| Human Reconstruction | 22.01. |
| Motion Reconstruction and Synthesis | 29.01. |
| Revision | 05.02. |