View source for Open and reusable components repository

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. 

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.

{| class="wikitable sortable"
|Project
|Domain
|Title
|Type of Asset
|Link / DOI
|Description
|-
|[[LUMINOUS]]
|Digital, Industry & Space
|Text2CAD
|AI Model
|Not specified
|A generative model capable of  producing sequential CAD designs from text prompts.
|-
|[[Meetween]]
|Digital, Industry & Space
|Speech LMM open release - V1
|AI Model
|Not specified
|Open release of the Speech Large  Multimodal Model (SpeechLMM) created by the project.
|-
|[[XTREME]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|Uni-SLAM
|AI Model / Software
|Not specified
|An uncertainty-aware neural  implicit SLAM model developed for real-time dense indoor scene  reconstruction.
|-
|[[EXPERIENCE]]
|FET
|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]]
|Digital, Industry & Space
|XR and Media Transformation APIs  and Authoring Tools
|APIs / Tools
|Not specified
|APIs integrating vertical  technologies for XR media transformation and content creation.
|-
|[[XR2Learn]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|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.
|-
|[[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]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|Dataset for Learning Scene  Semantics from Vehicle-centric Data for City-scale Digital Twins
|Dataset
|Not specified
|Data utilized for learning scene  semantics intended for city-scale digital twins.
|-
|[[DIDYMOS-XR]]
|Digital, Industry & Space
|ADAPT JR-Sim2Real dataset
|Dataset
|Not specified
|Dataset associated with domain  transfer for instance segmentations for AR scenes.
|-
|[[e-DIPLOMA]]
|Culture, creativity
|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]]
|Digital, Industry & Space
|Social interaction dataset
|Dataset
|Not specified
|A comprehensive dataset focusing  on social interaction, including protocols and scenarios.
|-
|[[CORTEX2]]
|Digital, Industry & Space
|FREDSum
|Dataset
|Not specified
|A dialogue summarization corpus  specifically designed around French political debates.
|-
|[[GuestXR]]
|FET
|Motivational Interviewing  Transcripts Annotated
|Dataset
|https://doi.org/10.5281/zenodo.12792623
|Annotated transcripts used for  training AI-generated patient simulations.
|-
|[[GuestXR]]
|FET
|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.
|-
|[[LUMINOUS]]
|Digital, Industry & Space
|ZOD Dataset
|Dataset
|Not specified
|A zero-shot and  out-of-distribution detection dataset tailored for document images.
|-
|[[Meetween]]
|Digital, Industry & Space
|Mumospee open release - V1
|Dataset
|Not specified
|One of the largest open  multimodal datasets created to train the SpeechLMM.
|-
|[[Meetween]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|NUTSHELL
|Dataset
|https://doi.org/10.18653/V1/2025.IWSLT-1.2
|A dataset built specifically for  abstract generation from scientific talks.
|-
|[[SONICOM]]
|FET
|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]]
|FET
|PAN-AR
|Dataset
|https://doi.org/10.1145/3678299.3678332
|A multimodal dataset featuring  higher-order ambisonics room impulse responses and spherical pictures.
|-
|[[SUN]]
|Digital, Industry & Space
|Simulation of Heuristics for AGV  Task Sequencing
|Dataset
|https://doi.org/10.3390/MATH12020271
|Replication data utilizing  dynamic queues and resource sharing.
|-
|[[SUN]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|MC-GTA
|Dataset / Benchmark
|https://doi.org/10.5281/zenodo.8335396
|A synthetic benchmark dataset  aimed at advancing multi-camera vehicle tracking capabilities.
|-
|[[TransMIXR]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|Core concepts for mid- and  domain-level ontology development
|Ontology / Framework
|<nowiki>https://doi.org/10.5281/ZENODO.13148630</nowiki>
|Ontologies required to  facilitate explainable-AI-readiness of data and models.
|-
|[[XReco]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|Data Hubs / XRDataHub
|Open-Source Software
|Not specified
|Open-source software associated  with XRDataHub, AnimHost, and browser-based XR tools.
|-
|[[SONICOM]]
|FET
|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]]
|Digital, Industry & Space
|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]]
|FET
|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]]
|Digital, Industry & Space
|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]]
|FET
|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]]
|Digital, Industry & Space
|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]]
|FET
|Auditory modelling toolbox (AMT)  version 2.0
|Software
|Not specified
|Toolbox to facilitate  reproducible research in auditory modeling.
|-
|[[DIDYMOS-XR]]
|Digital, Industry & Space
|MGSO
|Software / Algorithm
|https://doi.org/10.48550/ARXIV.2409.13055
|A monocular real-time  photometric SLAM algorithm utilizing efficient 3D Gaussian Splatting.
|-
|[[PRESENCE]]
|Digital, Industry & Space
|LiveSkeleton
|Software / Algorithm
|https://doi.org/10.1109/ISM63611.2024.00054
|A system providing high-quality  real-time human tracking and pose estimation.
|-
|[[SPIRIT]]
|Digital, Industry & Space
|GreenWise
|Software / Algorithm
|https://doi.org/10.1145/3773274.3774275
|An intelligent application  migration framework for containerized machine learning services.
|-
|[[CyberSecDome]]
|Civil Security
|REACT: Autonomous intrusion  response system
|Software / Framework
|https://doi.org/10.48550/arxiv.2401.04792
|Autonomous intrusion response  system tailored for intelligent vehicles.
|-
|[[CyberSecDome]]
|Civil Security
|Shells Bells
|Software / Framework
|https://doi.org/10.5281/zenodo.14807181
|A cyber-physical anomaly  detection framework designed for data centers.
|-
|[[DIDYMOS-XR]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|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.
|-
|[[XTREME]]
|Digital, Industry & Space
|UncertainSAM
|Software / Model
|[[Not specified]]
|A fast and efficient tool for  uncertainty quantification of the Segment Anything Model.
|-
|[[e-DIPLOMA]]
|Culture, creativity
|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]]
|Civil Security
|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]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|XR2Learn Marketplace, IPR tools  and platform
|Software Code
|Not specified
|The software code structure of  the XR marketplace, including the on-demand components and IPR tools.
|-
|[[VERGE]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|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]]
|FET
|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]]
|ERC
|Martinize2 and Vermouth
|Software Framework
|https://doi.org/10.48550/arxiv.2212.01191
|A unified framework utilized for  molecular topology generation.
|-
|[[SONICOM]]
|FET
|Frambi
|Software Framework
|https://doi.org/10.61782/fa.2023.0494
|A flexible software framework  tailored for auditory modeling based on Bayesian inference.
|-
|[[TrustChain]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|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]]
|ERC
|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]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|TangibleMRCreate
|Software Tool
|https://doi.org/10.2312/EGVE.20231339
|An intuitive authoring tool  created to facilitate the development of mixed reality content.
|-
|[[HEAT]]
|Digital, Industry & Space
|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]]
|Digital, Industry & Space
|STEP-MR
|Testing Platform
|Not specified
|A subjective testing and  eye-tracking platform built specifically for dynamic point clouds in mixed  reality.
|-
|[[PRESENCE]]
|Digital, Industry & Space
|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]]
|Culture, creativity
|Photogrammetry workflow for  low-polygon 3D models
|Workflow / Tool
|Not specified
|A reusable workflow relying on  free software to obtain low-polygon 3D models.
|}