Instruction for the Publication of Theses in Electronic form

The Eurographics Association has started the Dissertation Online Section in its Digital Library. EG members or members of institutional member organizations can publish an electronic version of their respective PHD thesis in the EG Digital Library.

To make use of this service the following is necessary:

1. The accepted file format for the PhD thesis is Adobe Acrobat PDF with all typefaces embedded and Type-1 fonts being the standard font encoding. The document must neither be coded nor have any other writing protection. Multimedia attachments are not permitted.

2. The fresh PhD should send an email to, containing the metadata of his PHD Thesis. Please login with your personal account, as EG member please use LDAP Authentication. Then go to the collection "2015" and click on "Submit a new item to this collection", please follow the instructions there. (If you want to upload an older PHD thesis, please contact

3. Return a signed copy of the following documents to

Eurographics Publication Board
c/o S. Behnke
Vor dem Nordhees 2 a
D-38644 Goslar

a) Application form

b) Assurance in lieu of an oath

c) Declaration of the PhD - Advisor

A scan of the signed documents as email attachment to is acceptable. As soon as the Eurographics Association has received the three documents you will be informed by email. Your thesis will be branded and protected against changes by the Eurographics Association.

Questions? Contact


For information about PHD Award please visit Eurographics Annual Award for Best PhD Thesis.

Recipients of the Award 2018

(2018) Miika Aittala for his strong technical contributions in computational photography and enabling appearance capture of surface material appearance for real world complex materials using simple hardware and limited measurements with a particular focus on spatially varying reflectance properties.

(2018) Jérémie Dumas for his strong technical contributions in computational fabrication and modeling of complex shapes, and by-example shape synthesis, while taking into account physical behaviour of fabricated structures including mechanical, and elastic properties.

(2018) Pablo Garrido for his strong technical contributions to face capture, animation, and editing from video by combining expressive parametric 3D models with inverse rendering to recover highly-detailed faces and demonstrating impressive applications including virtual dubbing and face reenactment.

(2018) Petr Kellnhofer for his strong technical contribution in perceptual modeling for stereoscopic 3D by running dedicated perceptual studies, deriving new perceptual models from his findings, and integrating these models in computer graphics algorithms.

Recipients of the Award 2017

(2017) Morten Bojsen-Hansen for his strong technical contributions to water simulation techniques for visual effects particularly in topology adaptation, tracking of free fluid surfaces, and handling spatially and time-varying boundary flows.

(2017) Tobias Guenther for his strong technical contributions in optimization-based opacity control of lines and surfaces for occlusion reduction and utilizing techniques from light transport for visualization of unsteady flow.

(2017) Adrian Jarabo for his strong technical contributions to computational imaging by studying the plenoptic function for multidimensional light transport particularly for editing light fields, capturing complex appearances using BTF, and investigating transient light transport.

Recipients of the Award 2016

(2016) Fabrice Rousselle for his strong technical contribution to the reduction of noise artifacts in rendering by the development of an image space adaptive framework for Monte Carlo rendering.

(2016) Marcel Campen for his strong technical contribution to geometry processing field, proposing innovative efficient strategies and algorithms for the generation of high quality quadrilateral layouts.

(2016) Kai Lawonn for his strong technical contribution to illustrative scientific visualization, presenting novel line drawing techniques for depicting medical surfaces and structures in a appealing and informative way.

(2016) Iliyan Georgiev for his strong technical contribution to light transport simulation in proposing efficient path sampling techniques for scenes containing surfaces and participating media.

Recipients of the Award 2015

(2015) Duygu Ceylan In her PhD thesis, Duygu Ceylan pioneered new algorithms for image-based 3D reconstruction and modeling based on symmetry priors. With a focus on urban scenes, Duygu’s work combines high-level data analysis with low-level geometry extraction to significantly improve the accuracy and robustness of multi-view stereo methods.In particular, she solves the fundamental problem of correspondence ambiguity in scenes with high levels of structural repetitions, common in urban facades. Her solution is based on global optimization methods that simultaneously solve for symmetry information and the corresponding 3D reconstruction. This approach not only leads to substantial improvements in reconstruction quality, but also enables a number of high-level editing operations for urban scenes, based on the extracted symmetries. She also explored new methods to design mechanical automata from motion capture data. Duygu Ceylan’s thesis combines novel theoretical insights with efficient algorithms to solve important practical problems. The results of her thesis have been published in top-rated conferences and journals including Eurographics and ACM TOG. -------------------------- Eurographics is pleased to present the Eurographics 2015 PhD Award to Duygu Ceylan for her strong technical contribution to high-level shape analysis, proposing new algorithms for the automatic interpretation of architectural structures.

(2015) Belen Masia In her PhD Thesis, Belen Masia has made significant contributions to the different stages of the imaging pipeline: capture, processing, editing, and visualization. The common denominator in her work has consisted on the combination of novel hardware systems, computational algorithms, and insights from the human visual system. Her works include a new design for coded apertures to recover blurred images, reverse tone mapping operators for high dynamic displays, disparity retargeting algorithms for automultiscopic displays, a metric of visual discomfort for dynamic stereo content, or the first in-depth study about editing workflows for four-dimensional light fields. She was also a co-author of the seminal femtophotography paper that allowed in 2013 to capture light in motion, at a trillion frames per second. Belen's thesis includes impressive advances at the theoretical and practical levels. She has already spent several months collaborating with researchers at prestigious research centers such as the Media Lab in the US, Microsoft Portugal or Tsinghua University in Beijing. Her work is internationally valued and recognized, as her exceptional publication record shows. Moreover, Belen received in 2012 the Nvidia Graduate Fellowship Award, and was chosen in 2014 by MIT Technology Review as one of the top ten innovators under 35 in Spain.

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Recent Submissions

  • Efficient Methods for Computational Light Transport 

    Marco, Julio (Universidad de Zaragoza, 2018-10-26)
    In this thesis we present contributions to different challenges of computational light transport. Light transport algorithms are present in many modern applications, from image generation for visual effects to real-time ...
  • On-site Surface Reflectometry 

    Riviere, Jérémy (EThOS, 2017-08-26)
    The rapid development of Augmented Reality (AR) and Virtual Reality (VR) applications over the past years has created the need to quickly and accurately scan the real world to populate immersive, realistic virtual environments ...
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    Eilertsen, Gabriel (Linköping University Electronic Press, 2018-06-08)
    Techniques for high dynamic range (HDR) imaging make it possible to capture and store an increased range of luminances and colors as compared to what can be achieved with a conventional camera. This high amount of image ...
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    This thesis introduces scalable techniques that advance the state-of-the-art in massive model creation and exploration. Concerning model creation, we present methods for improving reality-based scene acquisition and ...
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    The creation of digital humans is a long-standing challenge of computer graphics. Digital humans are tremendously important for applications in visual effects and virtual reality. The traditional way to generate digital ...
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    Pérez Rodríguez, Jesús (URJC, 2018-01-31)
    Computational fabrication technologies have revolutionized manufacturing by offering unprecedented control over the shape and material of the fabricated objects at accessible costs. These technologies allow users to design ...
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    Tkach, Anastasia (EPFL, 2018-08-30)
    In our everyday life we interact with the surrounding environment using our hands. A main focus of recent research has been to bring such interaction to virtual objects, such as the ones projected in virtual reality ...
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    Melzi, Simone (2018-06-19)
    Geometry processing and in particular spectral geometry processing deal with many different deformations that complicate shape analysis problems for non-rigid 3D objects. Furthermore, point-wise description of surfaces ...
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    Recent developments concerning the numerical simulation of solid objects and fluid flows in the field of computer graphics have opened up a plethora of new possibilities in applications such as special effect productions, ...
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    Over the past two decades extensive research in experimental psychology, cognitive neuroscience, and virtual reality has provided evidence for the malleability of our brain's body representation. It has been shown that a ...
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    Zell, Eduard (Verlag Dr. Hut, 2018-07-16)
    Stylized characters are highly used in movies and games. Furthermore, stylization is mostly preferred over realism for the design of toys and social robots. However, the design process remains highly subjective because the ...
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    Limper, Max Alfons (2018-06-05)
    Interactive 3D experiences are becoming increasingly available as a part of our every-day life. Examples are ranging from common video games to virtual reality experiences and augmented reality apps on smart phones. A ...
  • A Microservice Architecture for the Processing of Large Geospatial Data in the Cloud 

    Krämer, Michel (2017-11-07)
    With the growing number of devices that can collect spatiotemporal information, as well as the improving quality of sensors, the geospatial data volume increases con- stantly. Before the raw collected data can be used, ...
  • Visual Analytics to Support Evidence-Based Decision Making 

    Ruppert, Tobias (TU Darmstadt (TUPrints), 2018)
    The aim of this thesis is the design of visual analytics solutions to support evidence-based decision making. Due to the ever-growing complexity of the world, strategical decision making has become an increasingly challenging ...
  • Smarter screen space shading 

    Nalbach, Oliver (2017-11-10)
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    Knuth, Martin (2017-03-03)
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    Paulus, Christoph J (Université de Strasbourg and, 2017-04)
    Virtual cutting of deformable objects is at the core of many applications in interactive simulation and especially in computational medicine. The ability to simulate surgical cuts, soft tissue tearing or fractures, is ...
  • Reducing Animator Keyframes 

    Holden, Daniel (2017)
    The aim of this doctoral thesis is to present a body of work aimed at reducing the time spent by animators manually constructing keyframed animation. To this end we present a number of state of the art machine learning ...
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    Preiner, Reinhold Dr. (2017)
    In recent years, the scanning of real-world physical objects using 3d acquisition devices has become an everyday task. Such 3d scanners output a set of three-dimensional points, called point cloud, sampling the surface of ...
  • Geometric Deep Learning for Shape Analysis 

    Boscaini, Davide (Università della Svizzera italiana, 2017-08-16)
    The past decade in computer vision research has witnessed the re-emergence of artificial neural networks (ANN), and in particular convolutional neural net- work (CNN) techniques, allowing to learn powerful feature ...

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