Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Kamarianakis, Manos"'
In computer graphics (CG) education, the challenge of finding modern, versatile tools is significant, particularly when integrating both legacy and advanced technologies. Traditional frameworks, often reliant on solid, yet outdated APIs like OpenGL,
Externí odkaz:
http://arxiv.org/abs/2409.16724
This paper introduces a novel integration of Large Language Models (LLMs) with Conformal Geometric Algebra (CGA) to revolutionize controllable 3D scene editing, particularly for object repositioning tasks, which traditionally requires intricate manua
Externí odkaz:
http://arxiv.org/abs/2408.02275
This paper introduces GA-Unity, the first Unity package specifically designed for seamless integration of Geometric Algebra (GA) into collaborative networked applications. Indeed, in such contexts, it has been demonstrated that using multivectors for
Externí odkaz:
http://arxiv.org/abs/2406.11560
Autor:
Filippidis, Achilleas, Marmaras, Nikolaos, Maravgakis, Michael, Plexousaki, Alexandra, Kamarianakis, Manos, Papagiannakis, George
Contemporary progress in the field of robotics, marked by improved efficiency and stability, has paved the way for the global adoption of surgical robotic systems (SRS). While these systems enhance surgeons' skills by offering a more accurate and les
Externí odkaz:
http://arxiv.org/abs/2406.00002
Autor:
Kamarianakis, Manos, Protopsaltis, Antonis, Angelis, Dimitris, Zikas, Paul, Kentros, Mike, Papagiannakis, George
This work presents the introduction of UniSG^GA, a novel integrated scenegraph structure, that to incorporates behavior and geometry data on a 3D scene. It is specifically designed to seamlessly integrate Graph Neural Networks (GNNs) and address the
Externí odkaz:
http://arxiv.org/abs/2306.10621
Surgeons should play a central role in disaster planning and management due to the overwhelming number of bodily injuries that are typically involved during most forms of disaster. In fact, various types of surgical procedures are performed by emerge
Externí odkaz:
http://arxiv.org/abs/2303.00458
Autor:
Papagiannakis, George, Kamarianakis, Manos, Protopsaltis, Antonis, Angelis, Dimitris, Zikas, Paul
We present the Elements project, a lightweight, open-source, computational science and computer graphics (CG) framework, tailored for educational needs, that offers, for the first time, the advantages of an Entity-Component-System (ECS) along with th
Externí odkaz:
http://arxiv.org/abs/2302.07691
Autor:
Zikas, Paul, Protopsaltis, Antonis, Lydatakis, Nick, Kentros, Mike, Geronikolakis, Stratos, Kateros, Steve, Kamarianakis, Manos, Evangelou, Giannis, Filippidis, Achilleas, Grigoriou, Eleni, Angelis, Dimitris, Tamiolakis, Michail, Dodis, Michael, Kokiadis, George, Petropoulos, John, Pateraki, Maria, Papagiannakis, George
In this work, we propose MAGES 4.0, a novel Software Development Kit (SDK) to accelerate the creation of collaborative medical training applications in VR/AR. Our solution is essentially a low-code metaverse authoring platform for developers to rapid
Externí odkaz:
http://arxiv.org/abs/2209.08819
Autor:
Kamarianakis, Manos, Protopsaltis, Antonis, Angelis, Dimitris, Tamiolakis, Michail, Papagiannakis, George
We present an algorithm that allows a user within a virtual environment to perform real-time unconstrained cuts or consecutive tears, i.e., progressive, continuous fractures on a deformable rigged and soft-body mesh model in high-performance 10ms. In
Externí odkaz:
http://arxiv.org/abs/2209.08531
Autor:
Chrysovergis, Ilias, Kamarianakis, Manos, Kentros, Mike, Angelis, Dimitris, Protopsaltis, Antonis, Papagiannakis, George
We present a Convolutional Neural Network (CNN) suitable to assess unconstrained surgical cuttings, trained on a dataset created with a data augmentation technique.
Comment: 2 pages, 2 figures, Submitted to the Siggraph '22 Poster Session (Vanco
Comment: 2 pages, 2 figures, Submitted to the Siggraph '22 Poster Session (Vanco
Externí odkaz:
http://arxiv.org/abs/2205.00934