Computer Graphics Laboratory ETH Zurich

Description

Course Topics

This seminar covers advanced topics in visual computing, including both seminal research papers as well as the latest research results. The main topic areas are image and video processing, capture, rendering, visualization, simulation, fabrication as well as machine learning in graphics.

Course Setup

Every participant has to present one of the papers in the list below. 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.

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

Virtual Seminar

The seminar takes place virtually using the video platform Zoom. Detailed information about the online session was sent to you once by e-mail. We will always use the same Zoom room. Note that there will be no physical session in the assigned class room. Presenters can contact us before the meeting to get a technical introduction to the video platform Zoom. There are a few important rules:

• When attending a virtual meeting, log in with your real name.
• Mute your microphone during the presentations.
• Use a head set to avoid feedback loops.

We will monitor virtual attendence. If a student cannot attend a seminar session, the reason (e.g. medical certificate) has to be given before the session and must be accepted by one of the organizers. More than three missed seminar sessions will cause the student to fail this class. The dates for the presentations can not be moved except there is someone willing to switch.

Grading

The presentation of the selected paper contributes 75% to the final grade. Additionally, the students are required to submit a short abstract of each paper before the class as well as to participate in the group discussions after the presentations. Both will be documented by the organizers and contributes 25% to the final grade.

Organization and Grading

Number	252-5704-00L
Lecturers	O. Sorkine-Hornung
Assistants	Dr. Vinicius C. Azevedo (vinicius.azevedoinf.ethz.ch), CNB G 102.1 Dr. Tobias Günther (tobias.guentherinf.ethz.ch), CNB G 102.1 Dr. Marco Manzi (marco.manzidisneyresearch.com), STD
Location	Virtual Meeting, Fridays 13:00-15:00

Links

• Powerpoint Template
  


• Introduction slides


• Presentation Guidelines and Abstract Submission Forms (Slide 15)

Schedule

Date	Topic	Paper	Student	Supervisor
21-Feb	Introduction
28-Feb	Example
06-Mar	No session
13-Mar	No session
20-Mar	Materials 1 + Capture 1	Displacement Interpolation using Lagrangian Mass Transport	Daniel Peter	Tobias Guenther
		MonoPerfCap: Human Performance Capture from Monocular Video	Johannes Baureithel	Martin Guay
27-Mar	Materials 2	A Learned Shape-Adaptive Subsurface Scattering Model	Anil Yaris	Xianyao Zhang
		High-Contrast Computational Caustic Design	Luca Di Bartolomeo	Marios Papas
03-Apr	Rendering	Selectively Metropolised Monte Carlo Light Transport Simulation	Rudolf Varga	Marco Manzi
		Importance Sampling Techniques for Path Tracing in Participating Media	Renato Menta	Tobias Guenther
10-Apr	No session	No session
17-Apr	No session	No session
24-Apr	Capture 2 + Video	Polarization Imaging Reflectometry in the Wild	Alessia Paccagnella	Jeremy Riviere
		PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume	Jakob Heckelmann	Paulo Gotardo
1-May	No session	No session
08-May	Animation 1	Phase-functioned Neural Networks for Character Control	Niklaus Houska	Dominik Borer
		SMPL: A Skinned Multi-Person Linear Model	Börge Scheel	Dominik Borer
15-May	Animation 2	An Empirical Rig for Jaw Animation	Alexandre Binninger	Gaspard Zoss
		A Deep Learning Approach for Generalized Speech Animation	Bastian Morath	Paulo Gotardo
22-May	No session	No session
29-May	Fluids 1	A Stream Function Solver for Liquid Simulations	Maximilian Wolfertz	Vinicius Azevedo
		The Affine Particle-In-Cell Method	Melvin Ott	Vinicius Azevedo

Further Papers

• Residual Ratio Tracking for Estimating Attenuation in Participating Media
• Adaptive Polynomial Rendering
• Anatomically-Constrained Local Deformation Model for Monocular Face Capture
• Practical Dynamic Facial Appearance Modeling and Acquisition
• Noise Flow: Noise Modeling with Conditional Normalizing Flows
• Photo Wake-Up: 3D Character Animation from a Single Photo
• Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks
• Deferred Neural Rendering: Image Synthesis using Neural Textures
• Mitsuba 2: A Retagetable Forward and Inverse Renderer
• Denoising Deep Monte Carlo Renderings
• Extinction-Optimized Volume Illumination
• tempoGAN: A Temporally Coherent Volumetric GAN for Super-resolution Fluid Flow
• Separable Subsurface Scattering