Page still under construction!
Course Topics
This seminar covers advanced topics in visual computing, including
both seminal research papers as well as the latest research results.
Topics include data-driven modeling and animation, image based
rendering, real-time vision & graphics, physical simulation and
generative models, visual perception, computational photography, video
synthesis, and others.
Course Setup
Every participant has to present one of the papers presented in the first session. 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.
Important remarks
- Participants who registered to the course and selected a paper have to present their paper during the semester. In addition each participant has to attend all presentations (3 misses allowed).
In case these requirements are not met, the course is not passed (fail score).
- Participants are only allowed to unregister the course before they have chosen a paper to present.
- Participants who are not registered to the course (e.g. because there are no more free slots), are welcome to attend the first session to fill empty slots.
- It is not allowed to use the original slides from the author (please prepare the slides to fit an aspect ratio of 16:10).
Learning Objectives
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.
Prerequisites
The "Visual Computing", "Introduction to Computer Graphics" and "Computer Vision I"
courses are recommended, but not mandatory.
Administration
Schedule
Sept 23 |
|
Introduction and paper assignments
|
|
Sept 30 |
|
Example Talk
|
|
Oct 07 |
Franz Knobel |
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows |
Luca Cavalli |
Oct 14 |
Joel Neuner-Jehle |
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds |
Till Schnabel |
Oct 14 |
Lea Reichardt |
Neural complex luminaires: Representation and rendering |
Xianyao Zhang |
Oct 21 |
Rajat Thakur |
Superpoint: Self-supervised interest point detection and description |
Luca Cavalli |
Oct 21 |
Junting Chen |
Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs |
Iro Armeni |
Oct 28 |
Michael Keller |
Neural Scene Graph Rendering |
Till Schnabel |
Oct 28 |
Tamara Gini |
Blurry video frame interpolation |
Denys Rozumnyi |
Nov 04 |
Oguzhan Ilter |
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale |
Sergey Prokudin |
Nov 04 |
Martina Kessler |
Lagrangian Neural Style Transfer for Fluids |
Byungsoo Kim |
Nov 18 |
Anna Maria Eggler |
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction |
Baran Gözcü |
Nov 18 |
Andreas Brombach |
Leveraging photometric consistency over time for sparsely supervised hand-object reconstruction |
Jonas Hein |
Nov 25 |
Emmanouil Andreopoulos |
Vins-mono: A robust and versatile monocular visual-inertial state estimator |
Thomas Moerwald |
Nov 25 |
Tatiana Gerth |
We are more than our joints: Predicting how 3D bodies move |
Yan Zhang |
Dec 02 |
Lukas Bösiger |
SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks |
Qianli Ma |
Dec 02 |
Mikhail Terekhov |
USAC: A universal framework for random sample consensus |
Daniel Barath |
Dec 09 |
Nicholas Simic |
Wide-Baseline Multi-Camera Calibration using Person Re-Identification |
Sergey Prokudin |
Dec 09 |
Tianxu An |
LEAP: Learning articulated occupancy of people |
Yan Zhang |
Dec 16 |
Chaoyu Du |
Generative Layout Modeling using Constraint Graphs |
Iro Armeni |