Computer Graphics Laboratory ETH Zurich


Seminar 'Advanced Topics in Computer Graphics and Vision' - AS 19

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, Guillaume Cordonnier, Yang Zhang
Location HG E 33.3, Thursday, 15-17
ECTS Credits 2 credits
Exam graded semester performance


Date Name Topic Supervisor
Sept 19 Introduction and paper assignments
Sept 26 Example Talk
Oct 03 Michael A. Flückiger PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Liu Peidong
Oct 03 Christian Knieling DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Shihao Wu
Oct 10 Oliver Blaser Distortion-Free Wide-Angle Portraits on Camera Phones Daniel Thul
Oct 10 Qais El Okaili Transport-Based Neural Style Transfer for Smoke Simulations Byungsoo Kim
Oct 17 Melih Arda Duzceker Direct Sparse Odometry Zuo Xingxing
Oct 17 Zsombor Kalotay 3D human pose estimation in video with temporal convolutions and semi-supervised training Jakob Buhmann
Oct 24 Alberto Pennino Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Songyou Peng
Oct 24 Daoye Wang Fourier Opacity Optimization for Scalable Exploration Irene Baeza Rojo
Oct 31 Lixin Xue What Do Single-view 3D Reconstruction Networks Learn? Viktor Larsson
Oct 31 Jonas Hein Hand Keypoint Detection in Single Images using Multiview Bootstrapping Taein Kwon
Nov 7 Jan Leutwyles A Stream Function Solver for Liquid Simulations Vinicius C. Azevedo
Nov 7 Kaifeng Zhao SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations Silvan Weder
Nov 14 Jin Schengze MeshCNN: A Network with an Edge Radek Danecek
Nov 14 Yufeng Zheng Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction Yang Zhang
Nov 21 Aaron Keller Interactive Hand Pose Estimation using a Strech-Sensing Soft Glove Shihao Wu
Nov 21 Guohao Zhang MegaDepth: Learning Single-View Depth Prediction From Internet Photos Mihai Dusmanu
Nov 28 Matteo Signer Authoring Landscapes by Combining Ecosystem and Terrain Erosion Simulation Guillaume Cordonnier
Nov 28 Nihat Isik Deferred Neural Rendering: Image Synthesis using Neural Textures Aziz Djelouah
Dez 5 Jordan Burklund Semantic Visual Localization Marcel Geppert
Dez 5 Nino Schesser A Style-Based Generator Architecture for Generative Adversarial Networks Martin Guay
Dez 12 Alessia Paccagnella An Advection-Reflection Solver for Detail-Preserving Fluid Simulation Vinicius C. Azevedo
Dez 12 Florian Behrens Discriminative Correlation Filter with Channel and Spatial Reliability Denys Rozumnyi