News
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: Written exam
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. |
Differentiable Rendering | 20.11. |
Neural Scene Reconstruction | 27.11. |
3D Generative Models | 04.12. |
Morphable Models for Geometry and Appearance | 11.12. |
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. |