Computer Graphics Laboratory ETH Zurich

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 20		Introduction and paper assignments
Sept 27		Example Talk
Oct 11	Julian Nubert	Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation	Simone Meyer
Oct 11	Michelle Won	CurveUps: Shaping Objects from Flat Plates with Tension-Actuated Curvature	Christian Schumacher
Oct 18	Alexandre Cavaleri	Deep Exemplar-based Colorization	Aziz Djelouah
Oct 18	Daniel Zvara	CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM	Peidong Liu
Oct 25	Stefano Woerner	Convolutional Networks with Adaptive Computation Graphs	Simone Meyer
Oct 25	Berkay Berabi	Learning Three-Dimensional Flow for Interactive Aerodynamic Design	Byungsoo Kim
Nov 1	Ghazal Hakimifard	A Computational Design Tool for Compliant Mechanisms	Alexandra Ion
Nov 1	Lukas Rusch	Semantic Soft Segmentation	Yagiz Aksoy
Nov 8	Yufeng Zheng	Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks	Martin Oswald
Nov 8	Miriam Tschanen	tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow	Byungsoo Kim
Nov 15	Nikolas Huart	Stylized Image Triangulation	Tobias Günther
Nov 15	Javadzadeh No Sara	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	Yifan Wang

Seminar Papers