Computer Graphics Laboratory

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 17		Introduction and paper assignments
Oct 01	Erick Turricelli	Consistent Video Depth Estimation	Aziz Djelouah
Oct 08	Matthias René Roshardt	Explorable Super Resolution	Aziz Djelouah
Oct 08	Björn Erik Braun	Interactive Hand Pose Estimation using a Stretch-Sensing Soft Glove	Shihao Wu
Oct 15	Mathias Vetsch	RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds	Sandro Lombardi
Oct 22	Jan Filip Wiegner	Blind Image Super-Resolution with Spatially Variant Degradation	Aziz Djelouah
Oct 29	Sebastian Valentin Winberg	Lagrangian Neural Style Transfer for Fluids	Byunsoo Kim
Oct 29	Lavinia Pedrollo	End-to-end Object Detection with Transformers	Korrawe Karunratanakul
Nov 05	Manuel Serquet	Deep Geometric Texture Synthesis	Victor Cornillère
Nov 05	Xiaojing Xia	Interactive Video Stylization Using Few-Shot Patch-Based Training	Aziz Djelouah
Nov 12	Eric Mink	Manipulating Attributes of Natural Scenes via Hallucination	Aziz Djelouah
Nov 12	Vinzenz Roth	Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations	Silvan Weder
Nov 19	Yingyan Xu	Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision	Shihao Wu
Nov 19	Yan Hao	Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos	Zicong Fan
Nov 26	Janik Lobsiger	DeepFaceDrawing: Deep Generation of Face Images from Sketches	Aziz Djelouah
Nov 26	Aydin Faraji	Synthetic Silviculture: Multi-scale Modeling of Plant Ecosystems	Guillaume Cordonnier
Dec 03	Felix Kai Jielian Taubner	Unpaired Motion Style Transfer from Video to Animation	Aziz Djelouah
Dec 03	Ioannis Athanasiadis	Neural Supersampling for Real-time Rendering	Aziz Djelouah
Dec 10	Minchao Li	Compositional Neural Scene Representations for Shading Inference	Aziz Djelouah
Dec 10	Christian Mauro Scherer	Neural Rendering in the Wild	Songyou Peng