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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 and augmented reality (VR/AR), film production, robotics, and beyond. This course explores advanced topics in this area, with an emphasis on 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, including differentiable rendering, generative scene, image, and video models, morphable models, and human reconstruction and synthesis.
Schedule and other details
Course webpage: https://vcai.mpi-inf.mpg.de/teaching/vcai_lecture_SS26/
Format: 1 lecture per week, in-person attendance
Time: Thursdays, 14:15-15:45
Location: Lecture hall 003 in E1 3
Credit Points: 3 CP
Exam: Final exam: 05.08.2026, 14:00-16:00.
Re-exam: 26.08.2026, 10:00-12:00.
Both exams will be held in E1.3, lecture hall 001.
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 | 16.04. |
| Computer Graphics Basics | 23.04. |
| Deep Learning for Visual Computing | 30.04. |
| 3D Scene Representations and Reconstruction 1 | 07.05. |
| 3D Scene Representations and Reconstruction 2 | 21.05. |
| Generative Models | 28.05. |
| Video Generative Models | 11.06. |
| 3D Generative Models | 18.06. |
| Morphable Models for Geometry and Appearance | 25.06. |
| Digital Avatars | 02.07. |
| Motion Reconstruction and Synthesis | 09.07. |
| Revision | 16.07. |