Graphics Lab

University of Cyprus

The Graphics and Extended Reality Lab's research interests include machine learning, rendering, virtual reality and animation. The lab is part of the Computer Science Department of the University of Cyprus and it occupies rooms 122 and 123 in the FST 01 building in the new campus. It was founded in 2002 and it currently has a number of funded projects and several researchers.

Our recent work on pose representation has been accepted at the ACM/Eurographics SCA conference!

27 Jul 2022

In this work we present an efficient method for training neural networks, specifically designed for character animation. We use dual quaternions as the mathematical framework, and we take advantage of the skeletal hierarchy, to avoid rotation discontinuities. The paper will be published in Computer Graphics Forum (v.41, n.8) with Impact Factor: 2.657. (link to arXiv).

Our paper "Virtual Library in the concept of digital twins" has been accepted for publication at IMET 2022

28 Jun 2022

In this work, we reconstruct the Limassol Municipal University Library in the concept of a digital twin. To do so, we conducted a perceptual survey to understand the current use of physical libraries, examine the user’s experience with VR, and identify potential use cases of VR libraries. Based on the outcome, we design five use case scenarios where we demonstrate the potential use of virtual libraries. The paper will be presented in the 2nd International Conference on Interactive Media, Smart Systems and Emerging Technologies (IMET 2022).

Our paper "Digitizing Wildlife: The case of reptiles 3D virtual museum" has been accepted for publication at IEEE CG&A

08 May 2022

In this paper, we design and develop a 3D virtual museum with holistic metadata documentation and a variety of captured reptile behaviors and movements. Our main contribution lies on the procedure of rigging, capturing, and animating reptiles,as well as the development of a number of novel educational applications. The paper will be published in IEEE Computer Graphics and Application with Impact Factor: 2.85

Our paper "Let's All Dance: Enhancing Amateur Dance Motions" has been accepted for publication at CVM

02 May 2022

In this paper, we present a deep model that enhances professionalism to amateur dance movements, allowing the movement quality to be improved in both the spatial and temporal domains. The paper will be published in Computational Visual Media (Springer) with Impact Factor: 3.85

Our paper 'Rhythm is a Dancer' has been accepted for publication at IEEE TVCG

23 Mar 2022

We present a music-driven neural framework that generates realistic human motions, which are rich, avoid repetitions, and jointly form a global structure that respects the culture of a specific dance genre (link to arXiv). The paper is accepted for publication at IEEE Visualization and Computer Graphics with Impact Factor: 4.579

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