UCYGraphics

Best Paper Award

31 Oct 2025

We are delighted to announce that the work of our students Marios Stylianou and Marios Demetriou, under the supervision of Dr. Andreas Aristidou, titled “Disaster Evacuation of the Old City of Nicosia”, has been awarded the Best Student Paper at the 8th International Disaster and Risk Conference (IDRC 2025).

Interactive Media for Cultural Heritage - Just Published by Springer Nature!

01 Jul 2025

We are proud to share the release of the volume Interactive Media for Cultural Heritage, edited by Dr. Fotis Liarokapis, Dr. Maria Shehade, Dr. Andreas Aristidou, and Dr. Yiorgos Chrysanthou. This interdisciplinary volume brings together the latest advancements in interactive media technologies applied to digital cultural heritage from 3D reconstruction and immersive experiences to serious games and collaborative virtual spaces.

Our work "MPACT: Mesoscopic Profiling and Abstraction of Crowd Trajectories" has been accepted for publication at Computer Graphics Forum

01 May 2025

MPACT is a framework that transforms unlabelled crowd data into controllable simulation parameters using image-based encoding and a parameter prediction network trained on synthetic image–profile pairs. It enables intuitive crowd authoring and behavior analysis, achieving high scores in believability, plausibility, and behavioral fidelity across evaluations and user studies. The paper has been accepted for publication at Computer Graphics Forum with Impact Factor 2.96.

Three Groundbreaking Papers Accepted at Eurographics 2025!

13 Feb 2025

Exciting news from our lab! We have three technical full papers accepted at the upcoming Eurographics conference in London!
- CEDRL: A cutting-edge framework for modeling diverse and adaptive crowd behaviors, offering real-time control and seamless generalization across various scenarios.
- DragPoser: A deep-learning motion reconstruction system that uses sparse sensor inputs to achieve highly accurate end-effector positioning in real time through optimized pose estimation in a structured latent space.
- MMIP: The first dataset to combine high-quality 3D motion capture, audio, video, and MIDI - a game-changer for studying musical performances involving guitar, piano, and drums.

Our work "Underwater Virtual Exploration of the Ancient Port of Amathus" has been accepted for publication at the Journal of Cultural Heritage

17 Sep 2024

This work focuses on the digital reconstruction and visualization of underwater cultural heritage, providing a gamified virtual reality (VR) experience of Cyprus' ancient Amathus harbor. Utilizing photogrammetry, our immersive VR environment enables seamless exploration and interaction with this historic site. Advanced features such as guided tours, procedural generation, and machine learning enhance realism and user engagement. User studies validate the quality of our VR experiences, highlighting minimal discomfort and demonstrating promising potential for advancing underwater exploration and conservation efforts. The paper has been accepted for publication at the Journal of Cultural Heritage with Impact Factor: 3.1.

Our paper "Design and Implementation of an Interactive Virtual Library based on its Physical Counterpart" has been accepted for publication at the Virtual Reality journal

01 Jun 2024

This work explores the creation of a digital replica of a physical Library, using photogrammetry and 3D modelling. A Virtual Reality (VR) platform was developed to immerse users in a virtual library experience, which can also serve as a community and knowledge hub. A perceptual study was conducted to understand the current usage of physical libraries, examine the users’ experience in VR, and identify the requirements and expectations in the development of a virtual library counterpart. Five key usage scenarios were implemented, as a proof-of-concept, with emphasis on 24/7 access, functionality, and interactivity. A user evaluation study endorsed all its key attributes and future viability. The paper is now published at the Virtual Reality Journal, Springer, with Impact Factor: 4.2.

Our lab co-organized the 45th Annual Conference of the European Association for Computer Graphics (Eurographics)

28 Apr 2024

The University of Cyprus, in collaboration with CYENS - Centre of Excellence, successfully co-organized the 45th Annual Conference of the European Association for Computer Graphics (Eurographics). The conference was held from April 21-26, 2024, in Limassol, Cyprus. For more details, please visit the conference website.

Our paper "Digitizing Traditional Dances Under Extreme Clothing: The Case Study of Eyo" has been accepted for publication at the Journal of Cultural Heritage

22 Feb 2024

In this work, we examine the challenges of capturing movements in traditional African masquerade garments, specifically the Eyo masquerade dance from Lagos, Nigeria. By employing a combination of motion capture technologies, the study addresses the limitations posed by "extreme clothing" and offers valuable insights into preserving cultural heritage dances. The paper will be published in Journal of Cultural Heritage with Impact Factor: 3.1. The video has been presented at the International Council for Traditional Music (ICTM) 2023 and the Cyprus Dance Film Festival (CDFF) 2023.

Our paper "Virtual Instrument Performances (VIP): A Comprehensive Review" has been accepted for publication at Eurographics 2024 as a STAR paper

20 Feb 2024

In this survey, we explores the relatively unexplored field of Virtual Instrument Performances (VIP), addressing challenges related to motion capture precision, multi-modal interactions, and the integration of sensory modalities, with a focus on fostering inclusivity, creativity, and live performances in diverse settings.The paper has been published at Computer Graphics Forum, with IF: 2.96, and has been presented at Eurographics 2024 in Limassol, Cyprus in April 2024 as a STAR paper.

Our paper "SparsePoser: Real-time Full-body Motion Reconstruction from Sparse Data" has been accepted for publication at ACM TOG

14 Sep 2023

In this work we introduce SparsePoser, a novel deep learning-based approach that reconstructs full-body poses using only six tracking devices. The system uses a convolutional autoencoder to generate high-quality human poses learned from motion capture data and a lightweight feed-forward neural network IK component to adjust hands and feet based on the corresponding trackers. The paper is published at ACM Transaction on Graphics, the foremost peer-reviewed journal in the graphics field with IF: 7.4, and will be presented at SIGGRAPH Asia in Sydney, Australia in December 2023.

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