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

Presence

Presence is mandatory to pass the seminar. 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	M. Gross, O. Sorkine-Hornung
Assistants	Dr. Baran Gözcü (baran.goezcueinf.ethz.ch)
	Dr. Sebastian Weiss (sebastian.weissdisneyresearch.com)
Location	CAB G 52, Fridays 14:15-16:00

Links

• Powerpoint Template
  

Schedule

Date	Topic	Paper	Student	Supervisor
24-Feb	Introduction
03-Mar	Example Talks
10-Mar	Image & Style	Adaptive Convolutions for Structure-Aware Style Transfer	Bastian Amrhein	Prashanth Chandran
10-Mar	Capture	Practical and Scalable Desktop-based High-Quality Facial Capture	Bo Li	Yingyan Xu
17-Mar	Hair	Strand-accurate Multi-view Hair Capture	Marie Jaillot	Yuxiao Zhou
17-Mar	Neural Rendering	Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction	Neil Stern	Lasse Lingens
24-Mar	Neural Rendering	NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis	Luca Vögeli	Till Schnabel
24-Mar	Neural Rendering	Instant Neural Graphics Primitives with a Multiresolution Hash Encoding	Shuhao Li	Alexandre Cavaleri & Till Schnabel
31-Mar	Neural Rendering	Neural Scene Graph Rendering	Adrien Lanne	Till Schnabel
31-Mar	Neural Rendering	Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields	Xudong Jiang	Alexandre Cavaleri
07-Apr	No Session
14-Apr	No Session
21-Apr	Neural Rendering	HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling	Tilman de Lanversin	Alexandre Cavaleri
21-Apr	Neural Rendering	Eikonal Fields for Refractive Novel-View Synthesis	Fengshi Zheng	Alexandre Cavaleri
28-Apr	Shape & Animation	SMPL: a skinned multi-person linear model	Peizhuo Li	Maria Korosteleva
28-Apr	Shape & Animation	Learning a model of facial shape and expression from 4D scans	Yuval Nissan	Yingyan Xu
05-May	Shape & Animation	Shape Transformers: Topology-Independent 3D Shape Models Using Transformers	Yitian Ma	Till Schnabel
05-May	Shape & Animation	SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator	Nadine Frischknecht	Aleksandar Milojevic
12-May	Shape & Animation	DeepPhase: Periodic Autoencoders for Learning Motion Phase Manifolds	Johannes Kurz	Maria Korosteleva
12-May	Shape & Correspondence	Local Anatomically - Constrained Facial Performance Retargeting	Ayumi Ehgartner	Prashanth Chandran
19-May	Shape & Generation	EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks	Akkapaka Saikiran	Prashanth Chandran
19-May	Audio	Audio- and Gaze-driven Facial Animation of Codec Avatars	Dumeni Manatschal	Philine Witzig
26-May	Audio	MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement	Siddharth Menon	Philine Witzig
26-May	Volume Rendering	A survey on bounding volume hierarchies for ray tracing	Marvin Thomet	Sebastian Weiss
02-June	Physics	A Stream Function Solver for Liquid Simulations	Dario Mylonopoulos	Vinicius Azevedo
02-June	Physics	The Affine Particle-In-Cell Method	Marius Debussche	Vinicius Azevedo
02-June	Physics	ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact	Konstantinos Stavratis	Daniel Dorda

Further Papers

• A statistical shape modeling approach for predicting subject-specific human skull from head surface
• NeuralTailor: reconstructing sewing pattern structures from 3D point clouds of garments
• Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images
• HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks
• VolTeMorph: Realtime, Controllable and Generalisable Animation of Volumetric Representations
• DiffusionNet: Discretization Agnostic Learning on Surfaces
• SSR-TVD: Spatial Super-Resolution for Time-Varying Data Analysis and Visualization
• Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations