Computer Graphics Laboratory ETH Zurich


Seminar 'Advanced Topics in Computer Graphics and Vision' - AS 18

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.


The "Visual Computing", "Introduction to Computer Graphics" and "Computer Vision I" courses are recommended, but not mandatory.


Number 252-5701-00L
Lecturers Prof. Dr. Markus Gross, Prof. Dr. Marc Pollefeys, Prof. Dr. Olga Sorkine-Hornung
Assistants Lubor Ladicky, Aziz Djelouah , Shihao Wu
Location HG E 33.3, Thursday, 15-17
ECTS Credits 2 credits
Exam graded semester performance


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