Computer Graphics Laboratory ETH Zurich

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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

Date	Name	Topic	Supervisor
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