TDT03 - Advanced Topics in Visual Computing

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Advanced Topics in Visual Computing

TDT03: Advanced Topics in Visual Computing

Fall 2024

Theme: Eurographics 2024: Research papers & STARs

Event 1: Kick-off meeting Tuesday 20th August 2024 from 08:00-09:00 at Elektro E304. The theme was introduced, papers assigned (1 paper per student) and decided date for Event 2.

Event 2: Mini-conference: took place on Tuesday 24.9.2024 08:00-12:00 at Elektro E/F F404. The papers were presented and discussed.
This ~20 presentation plus 10 discussion counts towards the final grade.

Event 3: Oral examination.

It is essential you are present in all three events!

Student	Paper	Presentation
Marine Dessirier	Snow and Ice Animation Methods in Computer Graphics	Link
Mie Beatrice Fyksen	GANtlitz: Ultra High Resolution Generative Model for Multi-ModalFace Textures	Link
Vetle Roos Mangrud	Text-to-3D Shape Generation	Link
Markus Solli Pedersen	ShapeBench: a new approach to benchmarking local 3D shape descriptors	Link
Lars Lahlum Ruud	Dynamic Many-Light Sampling for Real-Time Ray Tracing	Link
Daniel Yang Hansen	State of the Art on Diffusion Models for Visual Computing	Link

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Fall 2023

Theme: The Influx of Machine Learning in Computer Graphics

This year s topic is the proliferation of learning techniques in graphics; we shall see examples, discuss and try to understand how far it may stretch.

Event 1: Kick-off meeting Thursday 24 August 2023 from 16:00-17:00 at IDI-242 to introduce the theme, assign papers (1 paper per student) and decide date for Event 2.

Event 2: 27th September from 09:00 mini-conference: the papers were presented and discussed at IDI-122 (iArbeid).
This ~20 presentation plus 10 discussion counts towards the final grade.

Event 3: An oral examination will take place.

The curriculum for the final exam consists of the following research papers.

It is essential you are present in all three events!

Student	Paper	Presentation
Njaal Telsto	NeRF: Field for Object Representation 2^nd Link	Link
Thomas Sagvold Haugan
Sivert Olstad	Upsampling using Neural Networks 2^nd Link	Link
Emma Lu Eikemo	Multimodal Registration using Neural Networks 2^nd Link	Link
Andreas Klavenes Berg	Learning BRDFs 2^nd Link	Link
Jorund Topp Lovlien Nikola Dordevic	Dall-e technology Supporting CLIP paper	Link Link

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Fall 2022

Theme: 3D Registration Algorithms

Registration algorithms are key to many operations in visual computing, such as digitization, recognition and retrieval of 3D objects.

Event 1: A kick-off meeting took place on Friday 26 August 2022 from 08:00-09:00 to introduce the theme and assign papers (1 paper per student).

Event 2: On Thursday 22.9.2022 from 09:00 to 12:00 a mini-conference took place in room IDI-122, where the papers were presented and discussed.
This ~20 presentation plus 10 discussion counts towards the final grade.

Event 3: An oral examination will take place as scheduled by the examination office .
The curriculum for the final exam consists of the assigned papers below plus the classic ICP paper (first on the list).

It is essential you are present in all three events!

Student	Paper	Presentation
ALL	Iterative Closest Point (ICP): the classic algorithm
Mathias R nning	Go-ICP: a globally optimal registration solution	Link
Tore Bergebakken	4 Point robust registration	Link
Salar Adel	Fast certifiable registration (TEASER)	Link
Sebastian Raa	Cross time registration	Link
	Review of multimodal 3D registration
	Fast registration using Hierarchical Gaussian Mixtures
Mia Fornes	Deep learning based registration	Link

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Fall 2021

Theme: 3D Object Recognition

Event 1: We'll have a short kick-off meeting around halfway into September to
introduce the theme and assign papers.

Event 2: Several weeks after the kick-off meeting we will meet again, where everyone will present
one paper they have been assigned. This presentation counts towards the final grade.

Event 3: An oral examination will take place as scheduled by the examination office .
The curriculum for the final exam consists of all papers that are listed in the table below.

It is essential you are present in all three events!

Student	Paper	Presentations
Agnar Martin Bj rnstad	Rotational Projection Statistics for 3D Local Surface Description and Object Recognition	Agnar
Torstein Emdal Otterlei	PANORAMA: A 3D Shape Descriptor Based on Panoramic Views for Unsupervised 3D Object Retrieval	Torstein
(none)	Learning part-in-whole relation of 3D shapes for part-based 3D model retrieval
Aleksander Knutsen	Volumetric and Multi-View CNNs for Object Classification on 3D Data	Aleksander
Mathias Chunnoo	Randomized Sub-Volume Partitioning for Part-Based 3D Model Retrieval	Mathias
Alexander Stensland Iversen Szewczyk	Fast 3D Scene Segmentation and Partial Object Retrieval Using Local Geometric Surface Features	Alexander

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Fall 2020

Theme: Ray Tracing

Event 1: A (virtual) kick-off meeting took place on Friday 21.8.2020 08:00 and papers were assigned to students.

Event 2: Presentations took place on Thursday 17.9.2020 at IT-syd M terom 201 from 10:00.

Event 3: An oral examination will take place as scheduled by the examinations office.

It is important that you are present in ALL three events!

The curriculum consists of the 6 papers that were presented.

Chat via Piazza: piazza.com/ntnu.no/fall2020/tdt03 -> general_tdt03

Student	Paper	Presentations
Marvin Reza, Dario Sucic: Stochastic Sampling and Distributed Ray Tracing Aslak Mkadmi: A Survey of Ray-Surface Intersection Algorithms	"An Introduction to Ray Tracing" (An old but classic book, choose any of chapters 1 to 5)	Reza Sucic Mkadmi
Marcus Benjamin Johansson	"An Improved Illumination Model for Shaded Display" (The classic Ray Tracing paper)	Johansson Videos
Martin Solheim Peder Bergebakken Sundt	"RayGround: web based ray tracing" Paper	Solheim Sundt
Kristian Stamland Eilif Tandberg Swensen	"Fast Parallel Construction of High-Quality Bounding Volume Hierarchies"	Stamland Swensen
Ivar Andreas Helgestad Sandvik Haakon Wardeberg	"Examination of the Nvidia RTX"	Sandvik Wardeberg

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Fall 2019

Theme: Using Computer Graphics to generate Synthetic Visual Data with Ground Truth for Machine Learning

The kick-off meeting took placeon Monday 2.9.2019 14:00-15:00 at IDI-242and papers were assigned to students.

Presentations took place on Monday 23.9.2019 from 09:00 at IDI-242.

An oral examination will take place on 28.11.2019 at IDI422 (see estimated times below).

It is important that you are present in these three events.

Student	Paper	Presentation	Oral Examination (28.11.2019)
Flatval, Haakon	"Dissecting Person Re-identification from the Viewpoint of Viewpoint	Link	10:30
Loekken, Hallgeir	"Looking beyond appearances: Synthetic training data for deep CNNs in re-identification"	Link	10:00
Lium, Ola	"Analyzing and Reducing the Damage of Dataset Bias to Face Recognition with Synthetic Data"	Link	09:30
Aven, Thomas	"A Survey of Synthetic Biometrics: Capabilities and Benefits"	Link	09:00
Echtermeyer, Christian	Use of synthetic data to test biometric algorithms	Link	11:00

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Fall 2018

Theme: Mesh Data Input for Neural Networks and Symmetry Detection

The kick-off meeting to decide on this year s topics assignment took placeon Wednesday 29.8.2018 14:00-15:00 at IDI-122 (e-arbeid) and papers were assigned to students.

Research paper presentations were held on Wednesday 26.9.2018 from 09:00 at IDI-242.

Links to the papers and presentations can be found below.

Note that you may need an NTNU IP to access some of the papers

Theoral examination will take place at IDI422on Tuesday 4th of December 2018 according to the schedule below.

Student	Paper	Presentation	Oral Examination (4.12.2018)
Andersen, Johannes	"Multi-view Convolutional Neural Networks for 3D Shape Recognition https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Su_Multi-View_Convolutional_Neural_ICCV_2015_paper.pdf	Link	09:30
Hukkel s, H kon	"Orientation-boosted Voxel Nets for 3D Object Recognition" https://arxiv.org/pdf/1604.03351.pdf	Link	09:00
Kristensen, Brede	"Orientation-boosted Voxel Nets for 3D Object Recognition" https://arxiv.org/pdf/1604.03351.pdf	Link	====
Lystrup, Asbj rn	"A Connection between Partial Symmetry and Inverse Procedural Modeling" http://www.staff.uni-mainz.de/wandm/papers/ProcModFromSym-siggraph2010.pdf	Link	10:30
Sv gard, Mikkel	Partial and Approximate Symmetry Detection for 3D Geometry https://lgg.epfl.ch/publications/2006/mitra_2006_PAS.pdf	Link	10:00

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Fall 2017

The kick-off meeting to decide on this year s topics assignment took place on Friday 1.9.2017 11:00-12:00 at Gamle Elektro G-138and papers were assigned to students.

This year s theme is Procedural Content Generation.

Research paper presentations were held on Wednesday 4.10.2017 from 09:00 at Realfagbygget - R Zoo-3 (360.EU2-148); links to the papers can be found below; you may need an NTNU IP to access some of the papers.

The oral examination will take place at IDI422 on 1.12.2017 according to the schedule below.

Student	Presentation	Paper	Oral Examination Time (1.12.2017)
Isachsen, Ulrich Johan	Link	"Similarity and Dissimilarity Measures" [Similarity part only] https://www.researchgate.net/file.PostFileLoader.html?id=54aaad9ad4c118ef048b4584&assetKey=AS%3A273704657850372%401442267683250	11:00
Larsen, Daniel Fedai	Link	"First Person Sketch-Based Terrain Editing" https://hal.inria.fr/hal-00976689/file/FirstPersonSketchBasedTerrainEditing_GI2014.pdf	9:30
Nystad, Lars H kon	Link	"Graphical Modeling using L-systems" http://algorithmicbotany.org/papers/abop/abop-ch1.pdf	10:00
Skj ran, Magne	Link	"Building Construction Sets by Tiling Grammar Simplification" https://graphics.cg.uni-saarland.de/fileadmin/cguds/Users/javor/website/data/printable_microtiles.pdf	10:30

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Fall 2015

The kick-off meeting to decide on this year s topics assignment was held on Friday 28.8.2015 14:00-15:00 at IDI122 (iArbeid).

This year s theme is Feature Descriptors.

Research paper presentations were held on Friday 25.9.2015 from 10:00 at IDI122 (iArbeid); links to the presentations can be found below.

The oral examination willbe held on Wednesday 2.12.2015 at IDI420 (approximate times given below).

Do not forget to register for this theory module.

Student	Paper	Presentation	Oral Exam Time (approx.)
Bart Van Blokland	"Distinctive image features from scale-invariant keypoints" http://link.springer.com/article/10.1023/B:VISI.0000029664.99615.94	Link	14:00
ArveNyg rd	"Matching 3D models with shape distributions" http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=923386	Link	10:30
Inge Edward Halsaunet	"Histograms of oriented gradients for human detection" http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1467360	Link	12:30
Magnus Nordin	"Multiresolution gray-scale and rotation invariant texture classification with local binary patterns" http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1017623	Link	12:00
EivindKvissel	"PHOG: photometric and geometric functions for textured shape retrieval" http://onlinelibrary.wiley.com/doi/10.1111/cgf.12168/full	Link	11:00
Ruben Fagerli	"Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes" http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=765655	Link	13:00

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TDT03: Advanced Topics in Visual Computing

Fall 2014

A kick-off meeting to decide on this year s topics washeld on Friday 29.8.2014 at 15:00 at IDI242

Research paper presentations will be held as per the table belowon Wednesday 17.9.2014 from 9:30 at IDI242, all must attend!

The oral examination will be heldon Friday 5.12.2014 from 10:00 according to the plan below.

Topic	Student	Paper	Presentation	Oral Exam Time (approx.)
Volume Graphics	Olav EmilEiksund	VDB: High-Resolution Sparse Volumes with Dynamic Topology	Link	10:00
Structure from Motion	OddvarHungnes	Elastic Fragments for Dense Scene Reconstruction	Link	10:30
Structure from Motion	Thomas Martin Schmid	3D Reconstruction from Accidental Motion	Link	11:00
Saliency	ErlendL kken Sigholt	3D Interest Point Detection via Discriminative Learning	Link	11:30
Saliency	Sigrid Andersson	Saliency Optimization from Robust Background Detection	Link	12:30
Object Descriptors	KristianHasselknippe	What Makes a Chair a Chair?	Link	13:00
Object Descriptors	Martin St len	Key-component Detection on 3D Meshes using Local Features	Link	13:30

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TDT03: Advanced Topics in Visual Computing

Fall 2013

The main theme this year is erosion modeling and rendering (second time!)

In the first two meetings the topic was decided and papers were distributed

All Presentations: Thursday 26.9.2013 16:00-19:00 at IDI-242

List of Topics for Presentation

Oral examination expected in early December 2013

Topic	Student	Reading
Weathering Simulation by Particle Tracing	John EdvardReiten	Y. Chen et al, Visual Simulation of Weathering Byy-ton Tracing, SIGGRAPH 2005, pp. 1127-1133.Presentation. http://research.microsoft.com/en-us/people/bainguo/p1127-chen.pdf
Land Erosion by Water	ViliusKazakauskas	B. Benes et al, Hydraulic Erosion, Comp. Anim. Virtual Worlds 2006; 17: 99 108.Presentation. http://onlinelibrary.wiley.com/doi/10.1002/cav.77/pdf
Erosion Animation via Level Sets	Johan Helsing	Chris Wojtan et al, Animating Corrosion and Erosion, Eurographics Workshop on Natural Phenomena (2007).Presentation. http://www.amath.unc.edu/Faculty/mucha/Reprints/EGNPerosion.pdf
Stereology	Jan Tore	R. Jagnow et al, Stereological Techniques for Solid Textures, SIGGRAPH 2004. http://graphics.cs.yale.edu/site/sites/files/Stereological%20Techniques.pdf Presentation.
3D from Video	Thomas Rootwelt	V. Fremont et al, Turntable-Based 3D Object Reconstruction, IEEE International Conference on Cybernetics and Intelligent Systems, Singapore, dec. 1-3, 2004. Presentation. https://www.hds.utc.fr/~vfremont/dokuwiki/lib/exe/fetch.php?id=en%3Apubli&cache=cache&media=en:pub_2_ieee_ccis04.pdf

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List of Topics for Presentation at the Advanced Topics in Visual Computing course

TDT03

Fall 2012

The main theme this year is erosion modeling and rendering

All Presentations: Thursday 27.9.2012 10:00-13:00 at IDI-464

Topic	Student	Reading
ICP registration algorithm	DimitryKongevold	http://eecs.vanderbilt.edu/courses/cs359/other_links/papers/1992_besl_mckay_ICP.pdf, P.J. Besl, N.D. McKay, A Method for Registration of 3-D Shapes, IEEE TPAMI, 14(2), 1992.Presentation.
Object Retrieval using Bag of Words	Lars KirkholtMelhus	http://link.springer.com/article/10.1007/s00371-012-0724-x G.Lavou , Combination of bag-of-words descriptors for robust partial shape retrieval, The Visual Computer, 28(9), 2012.Presentation.
Stone Weathering	StianAaraas Pedersen	http://graphics.cs.yale.edu/publications/stone.pdf J. Dorsey et al, Modeling and Rendering of Weathered Stone, SIGGRAPH '99.Presentation.
Material Variation over Time, STAF	HenrikHolenbakkenKnutsen	http://www.cs.berkeley.edu/~ravir/tsvbrdf.pdf J. Gu et al, Time-Varying Surface Appearance: Acquisition, Modeling and Rendering, ACM Transactions on Graphics. 25(3), July 2006.Presentation.
Massive Model Rendering	LorentsGrav s	http://people.cs.vt.edu/~chaopeng/paper/chao_eg12.pdf C. Peng et al, A GPU-based Approach for Massive Model Rendering with Frame-to-Frame Coherence, Eurographics 2012.Presentation.

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List of Topics for Presentation at the Advanced Graphics course

TDT03

Fall 2011

Topic	Pres n Date	Student	Reading
Windscreen effects (rain, fog, icing, dirt..)	22.11.11	Christopher Stensen	http://www.csie.nctu.edu.tw/~roger/rain/references/animationWaterDroplet.pdf, Read sections: Introduction, Simulation of Water Droplet Flow, Rendering Water Droplets, Examples
River flow rendering in real time	25.10.11	Jan Rovde	https://graphics.llnl.gov/docs/FlowTextures.pdf pp.1-5 (up to excluding- TEXTURE ADVECTION FOR UNSTEADY 2D FLOWS), also have a quick look at the recent presentation http://www.valvesoftware.com/publications/2010/siggraph2010_vlachos_waterflow.pdf
Fire rendering in real time	18.10.11	VegardK sli	http://undergraduate.csse.uwa.edu.au/year4/Current/ Students/Files/2005/SanandananSomasekaran/CorrectedDissertation.pdf pp.1-20 Also see http://developer.nvidia.com/node/105
3D object retrieval	8.11.11	Andreas Jakobsen	http://graphics.di.uoa.gr/Downloads/papers/journals/p23.pdf Exclude section 2.4
3D facial biometrics	1.11.11	Kjetil Babington	http://graphics.di.uoa.gr/Downloads/papers/journals/p35.pdf Exclude sections 3.3.2 -3.3.4.
Subdivision surfaces	15.11.11	Ole Magnus Ruud	Subdivision.pdf (attached). You can skip the crossed out sections. Also, answer the question: what is the difference between a subdivision and a tessellation scheme? (For this Ole Magnus will very briefly present another paper; take notes at his talk).

For nærmere informasjon om emnet, kontakt faglærer Theoharis Theoharis.