This seminar covers advanced topics in visual computing, including both seminal research papers as well as the latest research results. The main topic areas are image and video processing, capture, rendering, visualization, simulation, fabrication as well as machine learning in graphics.
Every participant has to present one of the papers in the list below. Additionally, you are required to read the paper that is presented in class beforehand and participate in a discussion during the seminar. An assistant will provide support when preparing the slides and in case technical questions arise.
The goal is to get an in-depth understanding of actual problems and research topics in the field of visual computing as well as improve presentations and critical analysis skills.
The "Visual Computing", "Introduction to Computer Graphics" and "Computer Vision I" courses are recommended, but not mandatory.
Presence is mandatory to pass the seminar. If a student cannot attend a seminar session, the reason (e.g. medical certificate) has to be given before the session and must be accepted by one of the organizers. More than three missed seminar sessions will cause the student to fail this class. The dates for the presentations can not be moved except there is someone willing to switch.
The presentation of the selected paper contributes 75% to the final grade. Additionally, the students are required to submit a short abstract of each paper before the class as well as to participate in the group discussions after the presentations. Both will be documented by the organizers and contributes 25% to the final grade.
| Number | 252-5704-00L |
| Lecturers | M. Gross, O. Sorkine-Hornung |
| Location | CAB G 52, Fridays 14:15-16:00 |
| Date | Paper |
| 21-Feb | Introduction |
| 28-Feb | How To Present |
| 07-Mar | Audio- and Gaze-driven Facial Animation of Codec Avatars |
| 07-Mar | Unsupervised Shape and Pose Disentanglement for 3D Meshes |
| 14-Mar | Deep Local Shapes: Learning Local SDF Priors |
| 14-Mar | Representing Scenes as Neural Radiance Fields for View Synthesis |
| 21-Mar | Instant Neural Graphics Primitives with a Multiresolution Hash Encoding |
| 21-Mar | Neural Shading Fields for Efficient Facial Inverse Rendering |
| 28-Mar | 3D Gaussian Splatting for Real-Time Radiance Field Rendering |
| 28-Mar | 2D Gaussian Splatting |
| 04-Apr | The Affine Particle-In-Cell Method |
| 04-Apr | XPBD: Extended Position Based Dynamics |
| 11-Apr | Large Steps in Cloth Simulation |
| 11-Apr | Discrete Elastic Rods |
| 18-Apr | Easter - No Class |
| 25-Apr | Easter - No Class |
| 02-May | A Stream Function Solver for Liquid Simulations |
| 02-May | The Impulse Particle-In-Cell Method |
| 09-May | Strand-accurate Multi-view Hair Capture |
| 09-May | Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images |
| 09-May | HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks |
| 16-May | FLAME: Learning a model of facial shape and expression from 4D scans |
| 16-May | Shape Transformers: Topology-Independent 3D Shape Models Using Transformers |
| 23-May | LoFTR: Detector-Free Local Feature Matching with Transformers |
| 23-May | EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks |
| 30-May | Towards Practical Capture of High-Fidelity Relightable Avatars |
| 30-May | Relightable Gaussian Codec Avatars |