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This page provides a comprehensive listing of the technical outputs of EU research projects funded under the Horizon Europe programme in the Virtual Worlds domain.  
This page provides a living list of the technical outputs of EU research projects funded under the Horizon Europe programme in the Virtual Worlds domain.  


Each of the output is linked to its originating project, as listed in the OPENVERSE Collective Intelligence. The content is organised by type of asset.
Each of the output is linked to its originating project, as listed in the OPENVERSE Collective Intelligence. The content is organised by type of asset.


'''Disclaimer and intellectual property acknowledgement:''' all content advertised in this page has been created by third parties, the OPENVERSE consortium is not responsible for incorrect information. The original creator of the content is the sole responsible for the content of the assets. The mere listing of the outputs on this page by is no means to be intended as an endorsement by the OPENVERSE consortium. The intellectual property of the content published in this page belongs to the rightful owners. This page is to be regarded as a pragmatic entry point.
'''Disclaimer and intellectual property acknowledgement:''' all content advertised in this page has been created by third parties, the OPENVERSE consortium is not responsible for incorrect information. The original creator of the content is the sole responsible for the content of the assets. The mere listing of the outputs on this page is by no means to be intended as an endorsement by the OPENVERSE consortium. The intellectual property of the content published in this page belongs to the rightful owners. This page is to be regarded as a pragmatic entry point.


{| class="wikitable sortable"
{| class="wikitable sortable" style="margin:auto"
|Project
|-
|Domain
! data-sort-type="text"|Project !! Title !! Type of Asset !! Link / DOI !! Description
|Title
|Type of Asset
|Link / DOI
|Description
|-
|-
|[[LUMINOUS]]
|[[LUMINOUS]]
|Digital, Industry & Space
|Text2CAD
|Text2CAD
|AI Model
|AI Model
Line 21: Line 16:
|-
|-
|[[Meetween]]
|[[Meetween]]
|Digital, Industry & Space
|Speech LMM open release - V1
|Speech LMM open release - V1
|AI Model
|AI Model
Line 28: Line 22:
|-
|-
|[[XTREME]]
|[[XTREME]]
|Digital, Industry & Space
|Multi-Flow: Multi-View-Enriched  Normalizing Flows
|Multi-Flow: Multi-View-Enriched  Normalizing Flows
|AI Model
|AI Model
Line 35: Line 28:
|-
|-
|[[LUMINOUS]]
|[[LUMINOUS]]
|Digital, Industry & Space
|MARVEL-40M+
|MARVEL-40M+
|AI Model / Framework
|AI Model / Framework
Line 42: Line 34:
|-
|-
|[[CORTEX2]]
|[[CORTEX2]]
|Digital, Industry & Space
|Dynamic Cost Volumes with  Scalable Transformer Architecture for Optical Flow
|Dynamic Cost Volumes with  Scalable Transformer Architecture for Optical Flow
|AI Model / Software
|AI Model / Software
Line 49: Line 40:
|-
|-
|[[SHARESPACE]]
|[[SHARESPACE]]
|Digital, Industry & Space
|CT-DQN: Control-Tutored Deep  Reinforcement Learning
|CT-DQN: Control-Tutored Deep  Reinforcement Learning
|AI Model / Software
|AI Model / Software
Line 56: Line 46:
|-
|-
|[[CORTEX2]]
|[[CORTEX2]]
|Digital, Industry & Space
|Uni-SLAM
|Uni-SLAM
|AI Model / Software
|AI Model / Software
Line 63: Line 52:
|-
|-
|[[EXPERIENCE]]
|[[EXPERIENCE]]
|FET
|4Ward
|4Ward
|Algorithm / Software
|Algorithm / Software
Line 70: Line 58:
|-
|-
|[[XReco]]
|[[XReco]]
|Digital, Industry & Space
|XR and Media Transformation APIs  and Authoring Tools
|XR and Media Transformation APIs  and Authoring Tools
|APIs / Tools
|APIs / Tools
Line 77: Line 64:
|-
|-
|[[XR2Learn]]
|[[XR2Learn]]
|Digital, Industry & Space
|V-Lab
|V-Lab
|Application Framework
|Application Framework
Line 84: Line 70:
|-
|-
|[[XR2Learn]]
|[[XR2Learn]]
|Digital, Industry & Space
|INTERACT
|INTERACT
|Authoring Tool
|Authoring Tool
|https://doi.org/10.1145/3565066.3608250
|https://doi.org/10.1145/3565066.3608250
|An authoring tool facilitating  the creation of human-centric interaction with 3D objects in VR.
|An authoring tool facilitating  the creation of human-centric interaction with 3D objects in VR.
|-
|[[EO4EU]]
|Food, Bioeconomy
|European pollen reanalysis,  1980-2022, for alder, birch, and olive, v.1.1
|Dataset
|https://doi.org/10.1038/S41597-024-03686-2
|An extensive dataset providing  pollen reanalysis (alder, birch, and olive) across Europe.
|-
|-
|[[VERGE]]
|[[VERGE]]
|Digital, Industry & Space
|Space and Time User Distribution  in a University Campus
|Space and Time User Distribution  in a University Campus
|Dataset
|Dataset
Line 105: Line 82:
|-
|-
|[[CORTEX2]]
|[[CORTEX2]]
|Digital, Industry & Space
|X-RiSAWOZ
|X-RiSAWOZ
|Dataset
|Dataset
Line 112: Line 88:
|-
|-
|[[DIDYMOS-XR]]
|[[DIDYMOS-XR]]
|Digital, Industry & Space
|Dataset for Learning Scene  Semantics from Vehicle-centric Data for City-scale Digital Twins
|Dataset for Learning Scene  Semantics from Vehicle-centric Data for City-scale Digital Twins
|Dataset
|Dataset
Line 119: Line 94:
|-
|-
|[[DIDYMOS-XR]]
|[[DIDYMOS-XR]]
|Digital, Industry & Space
|ADAPT JR-Sim2Real dataset
|ADAPT JR-Sim2Real dataset
|Dataset
|Dataset
Line 126: Line 100:
|-
|-
|[[e-DIPLOMA]]
|[[e-DIPLOMA]]
|Culture, creativity
|European remote e-learning  ecosystem survey data
|European remote e-learning  ecosystem survey data
|Dataset
|Dataset
Line 133: Line 106:
|-
|-
|[[SHARESPACE]]
|[[SHARESPACE]]
|Digital, Industry & Space
|Deep Space Starter Kit
|Deep Space Starter Kit
|Software
|Software
Line 140: Line 112:
|-
|-
|[[CORTEX2]]
|[[CORTEX2]]
|Digital, Industry & Space
|FREDSum
|FREDSum
|Dataset
|Dataset
Line 147: Line 118:
|-
|-
|[[GuestXR]]
|[[GuestXR]]
|FET
|Motivational Interviewing  Transcripts Annotated
|Motivational Interviewing  Transcripts Annotated
|Dataset
|Dataset
Line 154: Line 124:
|-
|-
|[[GuestXR]]
|[[GuestXR]]
|FET
|MB-RIRs: a Synthetic Room  Impulse Response Dataset
|MB-RIRs: a Synthetic Room  Impulse Response Dataset
|Dataset
|Dataset
Line 161: Line 130:
|-
|-
|[[Meetween]]
|[[Meetween]]
|Digital, Industry & Space
|Mumospee open release - V1
|Mumospee open release - V1
|Dataset
|Dataset
Line 168: Line 136:
|-
|-
|[[Meetween]]
|[[Meetween]]
|Digital, Industry & Space
|MOSEL
|MOSEL
|Dataset
|Dataset
Line 175: Line 142:
|-
|-
|[[Meetween]]
|[[Meetween]]
|Digital, Industry & Space
|NUTSHELL
|NUTSHELL
|Dataset
|Dataset
Line 182: Line 148:
|-
|-
|[[SONICOM]]
|[[SONICOM]]
|FET
|The SONICOM HRTF Dataset
|The SONICOM HRTF Dataset
|Dataset
|Dataset
Line 189: Line 154:
|-
|-
|[[SONICOM]]
|[[SONICOM]]
|FET
|PAN-AR
|PAN-AR
|Dataset
|Dataset
Line 196: Line 160:
|-
|-
|[[SUN]]
|[[SUN]]
|Digital, Industry & Space
|Simulation of Heuristics for AGV  Task Sequencing
|Simulation of Heuristics for AGV  Task Sequencing
|Dataset
|Dataset
Line 203: Line 166:
|-
|-
|[[SUN]]
|[[SUN]]
|Digital, Industry & Space
|Knee Rehabilitation Dataset
|Knee Rehabilitation Dataset
|Dataset
|Dataset
Line 210: Line 172:
|-
|-
|[[TransMIXR]]
|[[TransMIXR]]
|Digital, Industry & Space
|UVG-CWI-DQPC: Dual-Quality Point  Cloud Dataset
|UVG-CWI-DQPC: Dual-Quality Point  Cloud Dataset
|Dataset
|Dataset
Line 217: Line 178:
|-
|-
|[[TransMIXR]]
|[[TransMIXR]]
|Digital, Industry & Space
|ComPEQ-MR
|ComPEQ-MR
|Dataset
|Dataset
Line 224: Line 184:
|-
|-
|[[SUN]]
|[[SUN]]
|Digital, Industry & Space
|MC-GTA
|MC-GTA
|Dataset / Benchmark
|Dataset / Benchmark
Line 231: Line 190:
|-
|-
|[[TransMIXR]]
|[[TransMIXR]]
|Digital, Industry & Space
|TSalV360: Text-driven Saliency  Detection
|TSalV360: Text-driven Saliency  Detection
|Dataset / Method
|Dataset / Method
Line 238: Line 196:
|-
|-
|[[XReco]]
|[[XReco]]
|Digital, Industry & Space
|Textual Video Content Dataset
|Textual Video Content Dataset
|Dataset / Metric
|Dataset / Metric
Line 245: Line 202:
|-
|-
|[[Meetween]]
|[[Meetween]]
|Digital, Industry & Space
|FAMA
|FAMA
|Foundation Model
|Foundation Model
Line 252: Line 208:
|-
|-
|[[AI4WORK]]
|[[AI4WORK]]
|Digital, Industry & Space
|Core concepts for mid- and  domain-level ontology development
|Core concepts for mid- and  domain-level ontology development
|Ontology / Framework
|Ontology / Framework
Line 259: Line 214:
|-
|-
|[[XReco]]
|[[XReco]]
|Digital, Industry & Space
|vitrivr-engine
|vitrivr-engine
|Open-Source Engine
|Open-Source Engine
Line 266: Line 220:
|-
|-
|[[MAX-R]]
|[[MAX-R]]
|Digital, Industry & Space
|Data Hubs / XRDataHub
|Data Hubs / XRDataHub
|Open-Source Software
|Open-Source Software
Line 273: Line 226:
|-
|-
|[[SONICOM]]
|[[SONICOM]]
|FET
|NumCalc
|NumCalc
|Open-Source Software
|Open-Source Software
Line 280: Line 232:
|-
|-
|[[TransMIXR]]
|[[TransMIXR]]
|Digital, Industry & Space
|VR2Gather
|VR2Gather
|Open-Source System
|Open-Source System
Line 287: Line 238:
|-
|-
|[[GuestXR]]
|[[GuestXR]]
|FET
|Inceptor
|Inceptor
|Open-Source Tool
|Open-Source Tool
Line 294: Line 244:
|-
|-
|[[XR4Human]]
|[[XR4Human]]
|Digital, Industry & Space
|Online Rating Repository
|Online Rating Repository
|Repository
|Repository
Line 301: Line 250:
|-
|-
|[[GuestXR]]
|[[GuestXR]]
|FET
|Topo-Speech
|Topo-Speech
|Sensory System
|Sensory System
Line 308: Line 256:
|-
|-
|[[POPULAR]]
|[[POPULAR]]
|Digital, Industry & Space
|AR Eyewear Simulation Tool
|AR Eyewear Simulation Tool
|Simulation Tool
|Simulation Tool
Line 315: Line 262:
|-
|-
|[[SONICOM]]
|[[SONICOM]]
|FET
|Auditory modelling toolbox (AMT)
|Auditory modelling toolbox (AMT)
|Software
|Software
Line 322: Line 268:
|-
|-
|[[DIDYMOS-XR]]
|[[DIDYMOS-XR]]
|Digital, Industry & Space
|MGSO
|MGSO
|Software / Algorithm
|Software / Algorithm
Line 329: Line 274:
|-
|-
|[[PRESENCE]]
|[[PRESENCE]]
|Digital, Industry & Space
|LiveSkeleton
|LiveSkeleton
|Software / Algorithm
|Software / Algorithm
Line 336: Line 280:
|-
|-
|[[SPIRIT]]
|[[SPIRIT]]
|Digital, Industry & Space
|GreenWise
|GreenWise
|Software / Algorithm
|Software / Algorithm
Line 343: Line 286:
|-
|-
|[[CyberSecDome]]
|[[CyberSecDome]]
|Civil Security
|REACT: Autonomous intrusion  response system
|REACT: Autonomous intrusion  response system
|Software / Framework
|Software / Framework
Line 350: Line 292:
|-
|-
|[[CyberSecDome]]
|[[CyberSecDome]]
|Civil Security
|Shells Bells
|Shells Bells
|Software / Framework
|Software / Framework
Line 357: Line 298:
|-
|-
|[[DIDYMOS-XR]]
|[[DIDYMOS-XR]]
|Digital, Industry & Space
|HINT-3D
|HINT-3D
|Software / Framework
|Software / Framework
Line 364: Line 304:
|-
|-
|[[DIDYMOS-XR]]
|[[DIDYMOS-XR]]
|Digital, Industry & Space
|Visual localization using  implicit representations
|Visual localization using  implicit representations
|Software / Model
|Software / Model
Line 371: Line 310:
|-
|-
|[[e-DIPLOMA]]
|[[e-DIPLOMA]]
|Culture, creativity
|e-DIPLOMA Platform Software
|e-DIPLOMA Platform Software
|Software / Platform
|Software / Platform
Line 378: Line 316:
|-
|-
|[[CyberSecDome]]
|[[CyberSecDome]]
|Civil Security
|PTPsec
|PTPsec
|Software Code
|Software Code
Line 385: Line 322:
|-
|-
|[[MAX-R]]
|[[MAX-R]]
|Digital, Industry & Space
|EDM-Research/UE-LASAA
|EDM-Research/UE-LASAA
|Software Code
|Software Code
Line 392: Line 328:
|-
|-
|[[XR2Learn]]
|[[XR2Learn]]
|Digital, Industry & Space
|XR2Learn platform
|XR2Learn platform
|Online tool
|Online tool
Line 399: Line 334:
|-
|-
|[[VERGE]]
|[[VERGE]]
|Digital, Industry & Space
|Edge4AI
|Edge4AI
|Software Framework
|Software Framework
Line 406: Line 340:
|-
|-
|[[TrustChain]]
|[[TrustChain]]
|Digital, Industry & Space
|Decentralized Management of  Federated Cloud and Edge Providers
|Decentralized Management of  Federated Cloud and Edge Providers
|Software Framework
|Software Framework
Line 413: Line 346:
|-
|-
|[[EXPERIENCE]]
|[[EXPERIENCE]]
|FET
|Virtual Experience Toolkit
|Virtual Experience Toolkit
|Software Framework
|Software Framework
Line 420: Line 352:
|-
|-
|[[NANOVR]]
|[[NANOVR]]
|ERC
|Martinize2 and Vermouth
|Martinize2 and Vermouth
|Software Framework
|Software Framework
Line 427: Line 358:
|-
|-
|[[SONICOM]]
|[[SONICOM]]
|FET
|Frambi
|Frambi
|Software Framework
|Software Framework
Line 434: Line 364:
|-
|-
|[[TrustChain]]
|[[TrustChain]]
|Digital, Industry & Space
|SURE: Privacy and Utility  Assessment Library
|SURE: Privacy and Utility  Assessment Library
|Software Library
|Software Library
Line 441: Line 370:
|-
|-
|[[SUN]]
|[[SUN]]
|Digital, Industry & Space
|Ubervvald
|Ubervvald
|Software Library
|Software Library
Line 448: Line 376:
|-
|-
|[[NANOVR]]
|[[NANOVR]]
|ERC
|NanoVer Server
|NanoVer Server
|Software Package
|Software Package
Line 455: Line 382:
|-
|-
|[[MASTER]]
|[[MASTER]]
|Digital, Industry & Space
|IMETA
|IMETA
|Software Tool
|Software Tool
Line 462: Line 388:
|-
|-
|[[TransMIXR]]
|[[TransMIXR]]
|Digital, Industry & Space
|TangibleMRCreate
|TangibleMRCreate
|Software Tool
|Software Tool
Line 469: Line 394:
|-
|-
|[[HEAT]]
|[[HEAT]]
|Digital, Industry & Space
|EmoLoop
|EmoLoop
|System / Software
|System / Software
Line 476: Line 400:
|-
|-
|[[SPIRIT]]
|[[SPIRIT]]
|Digital, Industry & Space
|STEP-MR
|STEP-MR
|Testing Platform
|Testing Platform
Line 483: Line 406:
|-
|-
|[[PRESENCE]]
|[[PRESENCE]]
|Digital, Industry & Space
|Flexible toolkit for real-time  action recognition
|Flexible toolkit for real-time  action recognition
|Toolkit / Software
|Toolkit / Software
Line 490: Line 412:
|-
|-
|[[e-DIPLOMA]]
|[[e-DIPLOMA]]
|Culture, creativity
|Photogrammetry workflow for  low-polygon 3D models
|Photogrammetry workflow for  low-polygon 3D models
|Workflow / Tool
|Workflow / Tool
Line 497: Line 418:
|-
|-
|[[SHARESPACE]]
|[[SHARESPACE]]
|Culture, creativity
|pharus
|pharus
|Plug-in
|Plug-in
Line 504: Line 424:
|-
|-
|[[SHARESPACE]]
|[[SHARESPACE]]
|Culture, creativity
|Deep Sync Infrastructure
|Deep Sync Infrastructure
|Plug-in
|Plug-in
Line 511: Line 430:
|-
|-
|[[SHARESPACE]]
|[[SHARESPACE]]
|Culture, creativity
|Cognitive Architectures
|Cognitive Architectures
|Plug-ins
|Plug-ins
Line 518: Line 436:
|-
|-
|[[SHARESPACE]]
|[[SHARESPACE]]
|Culture, creativity
|Pixel Streaming Service
|Pixel Streaming Service
|Plug-in
|Plug-in
Line 525: Line 442:
|-
|-
|[[SHARESPACE]]
|[[SHARESPACE]]
|Culture, creativity
|Web Client-Server Bundle
|Web Client-Server Bundle
|Plug-in
|Plug-in
Line 532: Line 448:
|-
|-
|[[SHARESPACE]]
|[[SHARESPACE]]
|Culture, creativity
|Avatar Replication in Shared Environments
|Avatar Replication in Shared Environments
|Plug-in
|Plug-in

Latest revision as of 09:22, 23 April 2026

This page provides a living list of the technical outputs of EU research projects funded under the Horizon Europe programme in the Virtual Worlds domain.

Each of the output is linked to its originating project, as listed in the OPENVERSE Collective Intelligence. The content is organised by type of asset.

Disclaimer and intellectual property acknowledgement: all content advertised in this page has been created by third parties, the OPENVERSE consortium is not responsible for incorrect information. The original creator of the content is the sole responsible for the content of the assets. The mere listing of the outputs on this page is by no means to be intended as an endorsement by the OPENVERSE consortium. The intellectual property of the content published in this page belongs to the rightful owners. This page is to be regarded as a pragmatic entry point.

Project Title Type of Asset Link / DOI Description
LUMINOUS Text2CAD AI Model https://luminous-horizon.eu/index.php/blogs/introducing-text2cad-revolutionizing-cad-generation-from-text-prompts-for-next-gen-xr-in-luminous/ A generative model capable of producing sequential CAD designs from text prompts.
Meetween Speech LMM open release - V1 AI Model https://huggingface.co/meetween/Llama-speechlmm-1.0-l Open release of the Speech Large Multimodal Model (SpeechLMM) created by the project.
XTREME Multi-Flow: Multi-View-Enriched Normalizing Flows AI Model https://doi.org/10.48550/ARXIV.2504.03306 Advanced deep learning framework created for industrial anomaly detection.
LUMINOUS MARVEL-40M+ AI Model / Framework https://doi.org/10.1109/CVPR52734.2025.00759 A multi-level visual elaboration framework designed for high-fidelity text-to-3D content creation.
CORTEX2 Dynamic Cost Volumes with Scalable Transformer Architecture for Optical Flow AI Model / Software https://doi.org/10.5281/zenodo.8253051 A neural network architecture and software framework for accurate optical flow estimation.
SHARESPACE CT-DQN: Control-Tutored Deep Reinforcement Learning AI Model / Software https://doi.org/10.48550/arXiv.2212.01343 Code base and model architecture for a control-tutored deep reinforcement learning methodology.
CORTEX2 Uni-SLAM AI Model / Software https://cortex2.eu/2025/11/29/cortex2-publication-uni-slam-uncertainty-aware-neural-implicit-slam-for-real-time-dense-indoor-scene-reconstruction/ An uncertainty-aware neural implicit SLAM model developed for real-time dense indoor scene reconstruction.
EXPERIENCE 4Ward Algorithm / Software https://doi.org/10.1016/j.neucom.2023.127058 A relayering strategy designed for the efficient training of arbitrarily complex directed acyclic graphs.
XReco XR and Media Transformation APIs and Authoring Tools APIs / Tools https://xreco.eu/deliverables/#toc_D41_XR_and_Media_Transformation_Services_API_and APIs integrating vertical technologies for XR media transformation and content creation.
XR2Learn V-Lab Application Framework https://doi.org/10.1145/3565066.3608246 A VR educational application framework acting as a beacon application for immersive learning.
XR2Learn INTERACT Authoring Tool https://doi.org/10.1145/3565066.3608250 An authoring tool facilitating the creation of human-centric interaction with 3D objects in VR.
VERGE Space and Time User Distribution in a University Campus Dataset https://doi.org/10.1016/J.COMNET.2024.110329 Measurement dataset containing spatiotemporal distributions of users.
CORTEX2 X-RiSAWOZ Dataset https://doi.org/10.48550/arxiv.2306.17674 High-quality end-to-end multilingual dialogue datasets accompanied by few-shot agents.
DIDYMOS-XR Dataset for Learning Scene Semantics from Vehicle-centric Data for City-scale Digital Twins Dataset https://ieeexplore.ieee.org/document/10859207 Data utilized for learning scene semantics intended for city-scale digital twins.
DIDYMOS-XR ADAPT JR-Sim2Real dataset Dataset https://zenodo.org/records/12805642 Dataset associated with domain transfer for instance segmentations for AR scenes.
e-DIPLOMA European remote e-learning ecosystem survey data Dataset https://doi.org/10.5281/ZENODO.10432816 Survey data detailing the remote e-learning ecosystem across Europe.
SHARESPACE Deep Space Starter Kit Software https://github.com/ArsElectronicaFuturelab/UE-DeepSpace-Starter The Deep Space Starter Kit is an Unreal Engine template includes all configurations to quickly start a new project for this specific space. This plug-in is compatible with Unreal Engine 5.7.
CORTEX2 FREDSum Dataset https://arxiv.org/abs/2312.04843 A dialogue summarization corpus specifically designed around French political debates.
GuestXR Motivational Interviewing Transcripts Annotated Dataset https://doi.org/10.5281/zenodo.12792623 Annotated transcripts used for training AI-generated patient simulations.
GuestXR MB-RIRs: a Synthetic Room Impulse Response Dataset Dataset https://doi.org/10.48550/arxiv.2507.09750 Synthetic room impulse responses featuring frequency-dependent absorption coefficients.
Meetween Mumospee open release - V1 Dataset https://huggingface.co/datasets/meetween/mumospee One of the largest open multimodal datasets created to train the SpeechLMM.
Meetween MOSEL Dataset https://doi.org/10.18653/V1/2024.EMNLP-MAIN.771 950,000 hours of speech data utilized for open-source speech foundation model training on EU languages.
Meetween NUTSHELL Dataset https://doi.org/10.18653/V1/2025.IWSLT-1.2 A dataset built specifically for abstract generation from scientific talks.
SONICOM The SONICOM HRTF Dataset Dataset https://doi.org/10.17743/jaes.2022.0066 Dataset of Head-Related Transfer Functions for artificial intelligence-driven immersive audio.
SONICOM PAN-AR Dataset https://doi.org/10.1145/3678299.3678332 A multimodal dataset featuring higher-order ambisonics room impulse responses and spherical pictures.
SUN Simulation of Heuristics for AGV Task Sequencing Dataset https://doi.org/10.3390/MATH12020271 Replication data utilizing dynamic queues and resource sharing.
SUN Knee Rehabilitation Dataset Dataset https://doi.org/10.1038/S41597-025-04963-4 A specialized dataset of knee rehabilitation exercises for postural assessment utilizing wearable devices.
TransMIXR UVG-CWI-DQPC: Dual-Quality Point Cloud Dataset Dataset https://doi.org/10.1145/3746027.3758263 Point cloud dataset optimized for volumetric video applications.
TransMIXR ComPEQ-MR Dataset https://doi.org/10.1145/3625468.3652182 A compressed point cloud dataset featuring eye tracking and quality assessment in mixed reality.
SUN MC-GTA Dataset / Benchmark https://doi.org/10.5281/zenodo.8335396 A synthetic benchmark dataset aimed at advancing multi-camera vehicle tracking capabilities.
TransMIXR TSalV360: Text-driven Saliency Detection Dataset / Method https://doi.org/10.5281/ZENODO.17649129 Method and dataset tailored for saliency detection within 360-degree videos.
XReco Textual Video Content Dataset Dataset / Metric https://doi.org/10.1145/3746027.3758224 A dataset and corresponding metric created specifically for textual video content description.
Meetween FAMA Foundation Model https://doi.org/10.48550/ARXIV.2505.22759 The first large-scale open-science speech foundation model for Italian and English.
AI4WORK Core concepts for mid- and domain-level ontology development Ontology / Framework https://doi.org/10.5281/ZENODO.13148630 Ontologies required to facilitate explainable-AI-readiness of data and models.
XReco vitrivr-engine Open-Source Engine https://doi.org/10.1145/3746027.3756874 An open-source multimedia retrieval engine for content and similarity searches.
MAX-R Data Hubs / XRDataHub Open-Source Software https://github.com/FilmakademieRnd/DataHub Open-source software associated with XRDataHub, AnimHost, and browser-based XR tools.
SONICOM NumCalc Open-Source Software https://doi.org/10.1016/j.enganabound.2024.01.008 An open-source Boundary Element Method (BEM) code for solving acoustic scattering problems.
TransMIXR VR2Gather Open-Source System https://doi.org/10.1145/3664647.3685515 A collaborative social VR system open-sourced for adaptive multi-party real-time communication.
GuestXR Inceptor Open-Source Tool https://doi.org/10.1109/vrw58643.2023.00102 An open-source tool developed for the automated creation of 3D social scenarios in virtual environments.
XR4Human Online Rating Repository Repository https://doi.org/10.5281/ZENODO.17896488 Digital repository functioning as a rating and evaluation tool for human-centered XR frameworks.
GuestXR Topo-Speech Sensory System https://doi.org/10.3389/fnhum.2022.1058093 A sensory substitution system conveying spatial information to blind and vision-impaired individuals.
POPULAR AR Eyewear Simulation Tool Simulation Tool https://doi.org/10.1117/12.3042612 A software simulation tool explicitly developed for holographic-based augmented reality eyewear.
SONICOM Auditory modelling toolbox (AMT) Software https://ecosystem.sonicom.eu/tools/1 Toolbox to facilitate reproducible research in auditory modeling.
DIDYMOS-XR MGSO Software / Algorithm https://doi.org/10.48550/ARXIV.2409.13055 A monocular real-time photometric SLAM algorithm utilizing efficient 3D Gaussian Splatting.
PRESENCE LiveSkeleton Software / Algorithm https://doi.org/10.1109/ISM63611.2024.00054 A system providing high-quality real-time human tracking and pose estimation.
SPIRIT GreenWise Software / Algorithm https://doi.org/10.1145/3773274.3774275 An intelligent application migration framework for containerized machine learning services.
CyberSecDome REACT: Autonomous intrusion response system Software / Framework https://doi.org/10.48550/arxiv.2401.04792 Autonomous intrusion response system tailored for intelligent vehicles.
CyberSecDome Shells Bells Software / Framework https://doi.org/10.5281/zenodo.14807181 A cyber-physical anomaly detection framework designed for data centers.
DIDYMOS-XR HINT-3D Software / Framework https://doi.org/10.5281/ZENODO.18491843 A human-in-the-loop interactive test-time adaptation framework for 3D segmentation.
DIDYMOS-XR Visual localization using implicit representations Software / Model https://doi.org/10.5281/ZENODO.18468790 Software for visual localization utilizing implicit representations and particle filtering-based pose refinement.
e-DIPLOMA e-DIPLOMA Platform Software Software / Platform https://doi.org/10.5281/ZENODO.14534383 A complex package of cooperating software modules for the e-DIPLOMA learning ecosystem.
CyberSecDome PTPsec Software Code https://doi.org/10.5281/ZENODO.14806692 A security tool designed to protect the Precision Time Protocol against time delay attacks using cyclic path asymmetry analysis.
MAX-R EDM-Research/UE-LASAA Software Code https://doi.org/10.5281/zenodo.15517094 Published code base developed to support the project's XR media pipelines.
XR2Learn XR2Learn platform Online tool https://xr2learn.eu/platform/ The software code structure of the XR marketplace, including the on-demand components and IPR tools.
VERGE Edge4AI Software Framework https://doi.org/10.5281/ZENODO.15878533 A framework enabling intelligent edge automation and AI lifecycle management for Beyond 5G networks.
TrustChain Decentralized Management of Federated Cloud and Edge Providers Software Framework https://doi.org/10.5281/ZENODO.10785252 A management framework for the efficient and budget-balanced handling of federated cloud and edge platforms.
EXPERIENCE Virtual Experience Toolkit Software Framework https://doi.org/10.3390/s24123837 An end-to-end automated 3D scene virtualization framework using computer vision techniques.
NANOVR Martinize2 and Vermouth Software Framework https://doi.org/10.48550/arxiv.2212.01191 A unified framework utilized for molecular topology generation.
SONICOM Frambi Software Framework https://doi.org/10.61782/fa.2023.0494 A flexible software framework tailored for auditory modeling based on Bayesian inference.
TrustChain SURE: Privacy and Utility Assessment Library Software Library https://doi.org/10.5281/ZENODO.13843053 A new library designed to assess privacy and utility for synthetic data.
SUN Ubervvald Software Library https://doi.org/10.1007/978-981-96-5887-9_14 An advanced object detection library created to optimize complex Convolutional Neural Networks (CNNs).
NANOVR NanoVer Server Software Package https://doi.org/10.21105/joss.08118 A Python package for serving real-time multi-user interactive molecular dynamics in VR.
MASTER IMETA Software Tool https://doi.org/10.1145/3581754.3584125 An interactive mobile eye-tracking annotation method for semi-automatic fixation-to-AOI mapping.
TransMIXR TangibleMRCreate Software Tool https://doi.org/10.2312/EGVE.20231339 An intuitive authoring tool created to facilitate the development of mixed reality content.
HEAT EmoLoop System / Software https://doi.org/10.1109/IS264627.2025.11284604 A bi-directional system designed for emotion-driven interaction between remote audiences and performers.
SPIRIT STEP-MR Testing Platform https://athena.itec.aau.at/2025/11/step-mr-a-subjective-testing-and-eye-tracking-platform-for-dynamic-point-clouds-in-mixed-reality/ A subjective testing and eye-tracking platform built specifically for dynamic point clouds in mixed reality.
PRESENCE Flexible toolkit for real-time action recognition Toolkit / Software https://doi.org/10.5281/ZENODO.15974094 A flexible, reusable toolkit for the real-time action recognition of virtual humans in XR/AR environments.
e-DIPLOMA Photogrammetry workflow for low-polygon 3D models Workflow / Tool https://repositori.uji.es/bitstreams/578c3673-2fd3-40e8-aac6-483cb08eacf8/download (PDF File) A reusable workflow relying on free software to obtain low-polygon 3D models.
SHARESPACE pharus Plug-in https://github.com/ArsElectronicaFuturelab/UE-DeepSpace-PharusLasertracking The pharus tracking system is developed by researcher and artist Otto Naderer from the Ars Electronica Futurelab. This tracking system allows for the locations of objects, people, or groups to be tracked on the Deep Space floor.
SHARESPACE Deep Sync Infrastructure Plug-in https://github.com/ArsElectronicaFuturelab/UE-DeepSpace-DeepSync https://github.com/ArsElectronicaFuturelab/DeepSync-Wearable-Server https://github.com/ArsElectronicaFuturelab/DeepSync-Wearable-Firmware The Deep Sync Infrastructure brings biodata to the co-immersive Deep Space 8K. It includes the development of custom-made wearables and an Unreal Engine plug-in.
SHARESPACE Cognitive Architectures Plug-ins https://sharespace.eu/cognitive-architectures/ Within SHARESPACE, cognitive architectures were designed, developed, and validated by SHARESPACE partner CRdC to drive the movement of virtual characters with different levels of autonomization.
SHARESPACE Pixel Streaming Service Plug-in https://github.com/ALE-Rainbow/sharespace-pixel-streaming-infrastructure WebRTC enables direct peer-to-peer audio connections that avoid the mixing delays inherent in centralized voice systems. A mesh network architecture allows multiple P2P connections between emitters and receivers, minimizing latency while maintaining audio quality.
SHARESPACE Web Client-Server Bundle Plug-in https://github.com/ALE-Rainbow/sharespace-pixel-streaming-cpp-service The project delivered a web client-server bundle that could be hosted either locally or in ALE cloud with connectors for direct connection with XR applications.
SHARESPACE Avatar Replication in Shared Environments Plug-in https://github.com/CYENS/virtual-share-space A unified multi-user platform was developed in Unreal Engine 5 by the team of Cyens, allowing distributed clients to connect and interact within shared virtual environments.