Computer Graphics Laboratory ETH Zurich


Seminar 'Advanced Methods in Computer Graphics' - SS 23


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.


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



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.


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 (
Dr. Sebastian Weiss (
Location CAB G 52, Fridays 14:15-16:00



Date Topic Paper Student Supervisor
03-MarExample Talks
10-MarImage & StyleAdaptive Convolutions for Structure-Aware Style TransferBastian AmrheinPrashanth Chandran
10-MarCapturePractical and Scalable Desktop-based High-Quality Facial CaptureBo LiYingyan Xu
17-MarHairStrand-accurate Multi-view Hair CaptureMarie JaillotYuxiao Zhou
17-MarNeural RenderingDeep Local Shapes: Learning Local SDF Priors for Detailed 3D ReconstructionNeil SternLasse Lingens
24-MarNeural RenderingNeRF: Representing Scenes as Neural Radiance Fields for View SynthesisLuca VögeliTill Schnabel
24-MarNeural RenderingInstant Neural Graphics Primitives with a Multiresolution Hash EncodingShuhao LiAlexandre Cavaleri & Till Schnabel
31-MarNeural RenderingNeural Scene Graph RenderingAdrien LanneTill Schnabel
31-MarNeural RenderingRef-NeRF: Structured View-Dependent Appearance for Neural Radiance FieldsXudong JiangAlexandre Cavaleri
07-AprNo Session
14-AprNo Session
21-AprNeural RenderingHyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned SamplingTilman de LanversinAlexandre Cavaleri
21-AprNeural RenderingEikonal Fields for Refractive Novel-View SynthesisFengshi ZhengAlexandre Cavaleri
28-AprShape & AnimationSMPL: a skinned multi-person linear modelPeizhuo LiMaria Korosteleva
28-AprShape & AnimationLearning a model of facial shape and expression from 4D scansYuval NissanYingyan Xu
05-MayShape & AnimationShape Transformers: Topology-Independent 3D Shape Models Using TransformersYitian MaTill Schnabel
05-MayShape & AnimationSCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric GeneratorNadine FrischknechtAleksandar Milojevic
12-MayShape & AnimationDeepPhase: Periodic Autoencoders for Learning Motion Phase ManifoldsJohannes KurzMaria Korosteleva
12-MayShape & CorrespondenceLocal Anatomically - Constrained Facial Performance RetargetingAyumi EhgartnerPrashanth Chandran
19-MayShape & GenerationEG3D: Efficient Geometry-aware 3D Generative Adversarial NetworksAkkapaka SaikiranPrashanth Chandran
19-MayAudioAudio- and Gaze-driven Facial Animation of Codec AvatarsDumeni ManatschalPhiline Witzig
26-MayAudioMeshTalk: 3D Face Animation from Speech using Cross-Modality DisentanglementSiddharth MenonPhiline Witzig
26-MayVolume RenderingA survey on bounding volume hierarchies for ray tracingMarvin ThometSebastian Weiss
02-JunePhysicsA Stream Function Solver for Liquid SimulationsDario MylonopoulosVinicius Azevedo
02-JunePhysicsThe Affine Particle-In-Cell MethodMarius DebusscheVinicius Azevedo
02-JunePhysicsADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional ContactKonstantinos StavratisDaniel 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