Publications
Towards Mocap Anywhere: Pairwise Distance-based Motion Capture in the Wild, for the Wild
Ofir Abramovich, Ariel Shamir, Andreas Aristidou
ACM Transaction on Graphics, Aug 2026
We introduce Wild-Poser (WiP), a real-time Transformer-based system that reconstructs full-body 3D motion from sparse pairwise distance measurements using body-mounted UWB sensors, without cameras or environmental constraints. WiP robustly predicts accurate 3D joint positions from noisy data and generalizes across diverse human and non-human morphologies in real-world settings.
Cross-Morphology Motion Transfer with Semantic Style Alignment
Alexios Mylordos, Jose Luis Ponton, Nuria Pelechano, Andreas Aristidou
IEEE Transactions on Visualization and Computer Graphics, Aug 2026
In this work, we present a neural framework for cross-morphology motion transfer that enables realistic animation retargeting across characters with diverse skeletal structures. By using morphology-agnostic control signals and morphology-specific latent codebooks, our method preserves both the semantic intent of the source motion and the natural style of the target character. We demonstrate accurate and scalable all-to-all retargeting across bipeds and quadrupeds, with optional user control for fine-grained motion editing.
MultiAct: Text-to-Motion Generation from Composite Text via Tailored Attention Guidance
Nathan Sala, Ofir Abramovich, Ariel Shamir, Daniel Cohen-Or, Andreas Aristidou, Sigal Raab
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, Conference Papers, Jul 2026
Presented at: SIGGRAPH Conference Papers '26
We introduce MultiAct, an inference-time method that enhances pretrained text-to-motion models to better capture multiple simultaneous actions. By adaptively boosting attention to underrepresented prompt components, it improves semantic completeness without retraining, achieving stronger results on complex prompts.
MotionPyramid: Controllable Motion Synthesis via Stylized Phase Manifolds
Jingyuan Li, Peizhuo Li, Andreas Aristidou, Olga Sorkine-Hornung
Computer Graphics Forum, Volume 45, Issue 8., Jul 2026
Presented at: 25th ACM SIGGRAPH/ Eurographics Symposium on Computer Animation, SCA'26, Barcelona, Spain
MotionPyramid introduces stylized phase manifolds, a compact and interpretable latent representation that disentangles motion semantics, temporal dynamics, and style in an unsupervised, low-dimensional space. By using this representation as a structured bridge between text and motion, MotionPyramid enables fine-grained control over diffusion-based motion generation, producing high-quality, diverse motions with improved text-to-motion alignment.
Latent Space Skinning: Learning Compact Representations for Mesh Animations
Giorgos Drongoulas, Grigoris Tsopouridis, Andreas Aristidou, Ioannis Fudos
Presented at: 25th ACM SIGGRAPH/ Eurographics Symposium on Computer Animation - Posters, SCA'26. Eurographics Association, Jul 2026
Latent-Space Skinning (LSS) is a neural character animation framework that replaces explicit skinning weights with a shared latent representation of skeletal motion and rest-pose geometry, which is decoded into per-vertex mesh deformations over time. This compact and expressive latent space enables high compression ratios, accurate reconstruction, and intuitive motion manipulation operations such as blending and cross-character transfer.
Mixed Reality in Electronic Health Records: User Requirements and Evaluation
Silouanos Chaldoupis, Eirini Schizas, Andreas Aristidou
Presented at: 39th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2026, Limassol, Cyprus, Jun 2026
We present an MR-enhanced Electronic Health Record system that enables intuitive exploration of multimodal patient data through spatial, holographic interfaces. Our approach integrates clinical information, including 3D medical imaging, into an interactive mixed reality environment, demonstrating improved usability, anatomical understanding, and support for collaborative and patient-centered care.
Sound Sparks Motion: Audio and Text Tuning for Video Editing
AmirHossein Naghi Razlighi, Aryan Mikaeili, Ali Mahdavi-Amiri, Daniel Cohen-Or, Yiorgos Chrysanthou
arXiv preprint arXiv:2605.15307, May 2026
This paper presents Sound Sparks Motion, a training-free framework for motion-centric video editing that enables localized action and state-transition modifications in existing videos by tuning multimodal conditioning signals of an audio-visual video generation model at test time. By optimizing only an audio latent and a text-conditioning residual using vision-language feedback, the method achieves effective motion editing while preserving visual content and quality, and demonstrates that the learned controls can transfer across videos as reusable motion-edit directions.
A novel multidisciplinary approach for reptile movement and behavior analysis
Savvas Zotos, Marilena Stamatiou, Sofia-Zacharenia Marketaki, Duncan J. Irschick, Jeremy A. Bot, Andreas Aristidou, Emily L. C. Shepard, Mark D. Holton, Ioannis N. Vogiatzakis
Integrative Zoology, Volume21, Issue3, Pages 468-484, May 2026
This paper introduces a multidisciplinary approach to studying reptile behavior, combining tri-axial accelerometers, video recordings, motion capture systems, and 3D reconstruction to create detailed digital archives of movements and behaviors. Using two Mediterranean reptiles as case studies, it highlights the potential of this method to advance research on complex and understudied behaviors, offering ecological insights and tools for behavioral analysis.
Interactive Engineering Training Framework in Mixed Reality Environments
Christina-Georgia Serghides, Andreas Aristidou
Presented at: International Workshop on eXtended Reality for Industrial and Occupational Supports (XRIOS), part of IEEE VR 2026 conference, Daegu, Korea,, Mar 2026
We present a Mixed Reality–based framework for collaborative engineering training in aerospace and automotive maintenance and assembly, addressing the complexity, safety, and procedural demands of traditional hands-on methods. By building on existing computer-based and VR/AR approaches, the proposed platform bridges the gap between physical training and digital solutions, enabling more efficient, cost-effective, and collaborative training experiences.
Disaster evacuation of the old city of Nicosia
Marios Stylianou, Marios Demetriou, Andreas Aristidou
Progress in Disaster Science, Special Issue: AI, Emerging Technologies, and Immersive Solutions for Disaster and Emergency Response, Elsevier, Mar 2026
Presented at: 8th International Disaster and Risk Conference, IDRC 2025, Nicosia, Cyprus, Oct. 2025
This paper presents a digital twin–based simulation of evacuation scenarios in Nicosia’s historic walled Old Town, showing how dense urban morphology, gate blockages, and infrastructure changes affect evacuation efficiency and highlighting the need for coordinated, adaptive flow-management strategies to reduce disaster risks in historic cities.
CrowdImprint: decomposing context-aware interactions
Marilena Lemonari, Panayiotis Charalambous, Julien Pettré, Yiorgos Chrysanthou
The Visual Computer, 42(128), Jan 2026
We present a model that learns how people interact with specific objects or “sources” by analyzing trajectories, decomposing movements into simple core behaviours (e.g., approach, stop, circle). It builds distributions of these behaviours to summarise and generate context-aware crowd interactions, demonstrating usefulness for tasks like behaviour comparison.
Procedural Modelling of Aged Buildings: A Case Study of Mudbrick Houses in Cyprus
Christos Othonos, Gonzalo Besuievsky, Melinos Averkiou, Loizos Pelecanos, Gustavo Patow, Yiorgos Chrysanthou
ACM Journal on Computing and Cultural Heritage, 18(4), Article No.: 70, Pages 1 - 18, Dec 2025
We present a system for procedurally generating aged buildings by simulating weathering and material degradation using finite element analysis. Integrated into building generators, it models aging effects like erosion and structural changes, demonstrated on Cypriot mudbrick houses and useful for cultural heritage visualization and analysis.
DRUMS: Drummer Reconstruction Using Midi Sequences
Theodoros Kyriakou, Panayiotis Charalambous, Andreas Aristidou
Presented at: 18th annual ACM SIGGRAPH conference on Motion, Interaction and Games, MIG 2025, Zurich, Switzerland, Dec 2025
DRUMS is a MIDI-driven system that generates expressive, full-body drumming performances, combining precise rhythmic accuracy with realistic hand, stick, upper-body, and facial movements. By integrating BiLSTM-based hand motion prediction, phrase-matched upper-body and facial expressions, and procedural foot control through a modular IK framework, our method produces visually convincing and musically aligned drummer animations for applications in digital performance.
MPACT: Mesoscopic Profiling and Abstraction of Crowd Trajectories
Marilena Lemonari, Andreas Panayiotou, Theodoros Kyriakou, Nuria Pelechano, Yiorgos Chrysanthou, Andreas Aristidou, Panayiotis Charalambous
Computer Graphics Forum, Volume 44, Issue 6., Sep 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.
Interactive Media for Cultural Heritage
Fotis Liarokapis, Maria Shehade, Andreas Aristidou, Yiorgos Chrysanthou
Springer Nature Switzerland, Jul 2025
This edited book explores the latest advancements in interactive media applied to Digital Cultural Heritage research, covering areas from visual data acquisition to immersive experiences like extended reality and digital storytelling. Structured into four sections, it offers theoretical discussions and diverse case studies, making it a valuable resource for academics, scholars, researchers, and students interested in interdisciplinary approaches to cultural heritage preservation and exploration through emerging technologies.