Open and reusable components repository

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	Link / DOI	Description
6G-XR	Open call 1: REQUIEM	https://github.com/SNS-JU/6gxr-requiem	QUIC-based real-time media transmission tools designed to measure and manage the effects of client mobility on media quality within the 6G-XR Media Function.
6G-XR	Open call 2: 6G-REMIX Visualisation	https://github.com/SNS-JU/6g-remix-visualisation	HTML-based real-time energy monitoring and visualisation tools for XR streaming.
6G-XR	Open call 3: EMSEOS	https://github.com/SNS-JU/6g-xr_oc2_emseos	Code for an Energy Monitoring System targeting Energy-Efficiency Optimization and Sustainability of Multimedia Virtual Network Functions (VNFs).
6G-XR	Open call: TrustNet Project Datasets	http://data.europa.eu/88u/dataset/oai-zenodo-org-17733990	Public datasets created by the 6G-XR Open Call TrustNet project.
6G-XR	ASSessionWithQoS API	https://github.com/Fundacio-i2CAT/ASSessionWithQoS	A Java implementation (REST API built with Spring Boot) of the ASSessionWithQoS API for Open5Gs, used with CAMARA's Quality on Demand (QoD) Transformation Function.
6G-XR	UC1 Remote Renderer Dataset	https://github.com/tv-vicomtech/6G-XR_UC1_Remote_Renderer_dataset	A public dataset generated during the Use Case 1 (UC1) Remote Renderer test cases of the project.
6G-XR	UC1 Congestion Control using QoD Dataset	https://github.com/SNS-JU/6g-xr_uc1_congestion_control_qod	A dataset related to UC1 testing congestion control using Quality on Demand (QoD) APIs.
6G-XR	South Node Adapter	https://github.com/SNS-JU/6gxr-sn-adapter	Java-based adapter component for orchestrating and managing experiments in the South Node testbed.
6G-XR	North Node Adapter	https://github.com/SNS-JU/6gxr-nn-adapter	Python-based adapter component for orchestrating and managing experiments in the North Node testbed.
6G-XR	South Node Web Portal	https://github.com/SNS-JU/6gxr-sn-web-portal	JavaScript-based web portal component for experimenters accessing the South Node testbed.
6G-XR	Unified North Web Portals	https://github.com/SNS-JU/6gxr-unified-north-web-portals	Web portal interfaces for unified experimenter access to the North Node test facilities.
6G-XR	Other Networking & Measurement Tools - QUINN	https://github.com/SNS-JU/6gxr-quinn	Additional technical assets for the reference architecture, including an async-friendly QUIC implementation in Rust (6gxr-quinn), GStreamer plugins (6gxr-gst-plugins-rs), and a C-based tool to measure video latency (6gxr-latency-clock).
6G-XR	Other Networking & Measurement Tools - Latency clock	https://github.com/SNS-JU/6gxr-latency-clock
6G-XR	Other Networking & Measurement Tools - GST Plug-ins	https://github.com/SNS-JU/6gxr-gst-plugins-rs
AI4WORK	Core concepts for mid- and domain-level ontology development	https://doi.org/10.5281/ZENODO.13148630	Ontologies required to facilitate explainable-AI-readiness of data and models.
AI4WORK	Sliding Work Sharing Management Component	https://github.com/AI4WORK-Project/sliding-work-sharing	Java-based software designed to support dynamic work sharing between humans and machines (AI/robots) using application-scenario-specific rules.
AI4WORK	Sliding Work Sharing (SWS) Ontology	http://dx.doi.org/10.34894/BLLKVM	An upper-level ontology dataset designed to support semantic interoperability and dynamic, explainable collaboration between humans and AI-enabled agents, integrating Digital Twin capabilities.
AI4WORK	ai4work-resources	https://github.com/zorazrw/ai4work-resources	A public GitHub repository containing analysis resources, data, and digital leaf workflows related to skill and effort analysis.
B-prepared	Disastropedia	https://disastropedia.com	A dynamic, freely accessible collaborative knowledge base and data hub for disaster content, featuring expert-created or verified public resources.
CORTEX2	Dynamic Cost Volumes with Scalable Transformer Architecture for Optical Flow	https://doi.org/10.5281/zenodo.8253051	A neural network architecture and software framework for accurate optical flow estimation.
CORTEX2	Uni-SLAM	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.
CORTEX2	X-RiSAWOZ	https://doi.org/10.48550/arxiv.2306.17674	High-quality end-to-end multilingual dialogue datasets accompanied by few-shot agents.
CORTEX2	FREDSum	https://arxiv.org/abs/2312.04843	A dialogue summarization corpus specifically designed around French political debates.
CORTEX2	INTERACT Pilot Study Data	https://doi.org/10.5281/zenodo.18656422	Anonymised questionnaire responses and performance metrics data from the INTERACT pilot study.
CORTEX2	INTERACT ISL Gesture Dataset	https://doi.org/10.5281/zenodo.18656296	International Sign Language (ISL) animation dataset created for the INTERACT platform's 3D avatars.
CORTEX2	Inpaint360GS	https://github.com/dfki-av/Inpaint360GS	Source code and datasets for performing flexible, object-aware 3D inpainting in 360° unbounded scenes via Gaussian Splatting.
CORTEX2	TalkingPose	https://github.com/dfki-av/TalkingPose	Implementation code and pretrained models for efficient face and gesture animation using a feedback-guided diffusion model.
CORTEX2	Alternative Appearance Avatar Interface	https://github.com/NuwaStudios/Video-Call-Alternative-Appearance-Avatar-Interface	Source code, implementation documentation, and deployment guides for a real-time video call alternative appearance avatar interface developed by Nuwa Studios.
CyberSecDome	REACT: Autonomous intrusion response system	https://doi.org/10.48550/arxiv.2401.04792	Autonomous intrusion response system tailored for intelligent vehicles.
CyberSecDome	Shells Bells	https://doi.org/10.5281/zenodo.14807181	A cyber-physical anomaly detection framework designed for data centers.
CyberSecDome	PTPsec	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.
DIDYMOS-XR	Dataset for Learning Scene Semantics from Vehicle-centric Data for City-scale Digital Twins	https://ieeexplore.ieee.org/document/10859207	Data utilized for learning scene semantics intended for city-scale digital twins.
DIDYMOS-XR	ADAPT JR-Sim2Real dataset	https://zenodo.org/records/12805642	Dataset associated with domain transfer for instance segmentations for AR scenes.
DIDYMOS-XR	MGSO	https://doi.org/10.48550/ARXIV.2409.13055	A monocular real-time photometric SLAM algorithm utilizing efficient 3D Gaussian Splatting.
DIDYMOS-XR	HINT-3D	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	https://doi.org/10.5281/ZENODO.18468790	Software for visual localization utilizing implicit representations and particle filtering-based pose refinement.
DIDYMOS-XR	city-maintenance-visualization	https://github.com/didymosxr/city-maintenance-visualization	Demonstrator source code for a possible city maintenance visualization.
DIDYMOS-XR	AnonCityDT	https://github.com/didymosxr/AnonCityDT	Anonymisation dataset and code for Cityscape Digital Twins, containing image file lists with annotations for segmenting human heads and license plates, along with data augmentation code for undistorting fisheye camera images.
DIDYMOS-XR	sim2real	https://github.com/didymosxr/sim2real	A rendered synthetic training dataset generated for the ADAPT sim2real object detection challenge.
e-DIPLOMA	European remote e-learning ecosystem survey data	https://doi.org/10.5281/ZENODO.10432816	Survey data detailing the remote e-learning ecosystem across Europe.
e-DIPLOMA	e-DIPLOMA Platform Software	https://doi.org/10.5281/ZENODO.14534383	A complex package of cooperating software modules for the e-DIPLOMA learning ecosystem.
e-DIPLOMA	Photogrammetry workflow for low-polygon 3D models	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.
e-DIPLOMA	European remote e-learning ecosystem survey data	https://doi.org/10.5281/zenodo.10432816	A dataset evaluating the capacity of the European tertiary training ecosystem for using disruptive technologies in practice-based e-learning.
e-DIPLOMA	Hybrid Recommendation System for Moodle	https://github.com/almtav08/moodle_recom	The main repository for a hybrid recommendation system combining collaborative and knowledge-based filtering for the Moodle learning platform.
e-DIPLOMA	Moodle Recommendation Block	https://github.com/almtav08/moodle_recommender_block	A software component of the recommendation system designed to display the generated recommendations to users.
e-DIPLOMA	Event Logging Plugin	https://github.com/almtav08/moodle_recommender_plugin	A Moodle plugin that captures user interactions and exposes endpoints for the recommendation system.
e-DIPLOMA	Recommendation Server	https://github.com/almtav08/recom_server	The main engine repository of the Moodle recommendation system that generates the actual recommendations.
EO4EU	EO4EU Open-Source Repositories	https://github.com/orgs/EO4EU/repositories	The central GitHub organization hosting the platform's open-source components, including the Knowledge Graph, Machine Learning Processing Components, Orchestration Components, and User Interfaces.
EO4EU	workflow-pre-pro	https://github.com/EO4EU/workflow-pre-pro	Source code for the platform's Pre-Processor component, which is responsible for fetching data from datasource scripts and in-situ files and uploading them to S3 buckets.
EXPERIENCE	4Ward	https://doi.org/10.1016/j.neucom.2023.127058	A relayering strategy designed for the efficient training of arbitrarily complex directed acyclic graphs.
EXPERIENCE	Virtual Experience Toolkit	https://doi.org/10.3390/s24123837	An end-to-end automated 3D scene virtualization framework using computer vision techniques.
GuestXR	Motivational Interviewing Transcripts Annotated	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	https://doi.org/10.48550/arxiv.2507.09750	Synthetic room impulse responses featuring frequency-dependent absorption coefficients.
GuestXR	Inceptor	https://doi.org/10.1109/vrw58643.2023.00102	An open-source tool developed for the automated creation of 3D social scenarios in virtual environments.
GuestXR	Topo-Speech	https://doi.org/10.3389/fnhum.2022.1058093	A sensory substitution system conveying spatial information to blind and vision-impaired individuals.
HEAT	EmoLoop	https://doi.org/10.1109/IS264627.2025.11284604	A bi-directional system designed for emotion-driven interaction between remote audiences and performers.
INDUX-R	zandbak-orchestrator	https://github.com/cwi-dis/zandbak-orchestrator	A descendant of the VR2Gather Orchestrator designed to work in tandem with the Zandbak client library specifically for the INDUX-R project.
INDUX-R	zandbak-client	https://github.com/cwi-dis/zandbak-client	A Unity interface library used to interact with the Zandbak Orchestrator.
LUMINOUS	Text2CAD	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.
LUMINOUS	MARVEL-40M+	https://doi.org/10.1109/CVPR52734.2025.00759	A multi-level visual elaboration framework designed for high-fidelity text-to-3D content creation.
LUMINOUS	Bench EEG recordings	https://doi.org/10.5281/zenodo.1168447	A dataset of bench EEG recordings used to develop a model for detecting slow-wave activity saturation in real-time as part of the project.
LUMINOUS	Inpaint360GS	https://github.com/dfki-av/Inpaint360GS	An efficient object-aware 3D inpainting tool for 360° scenes via Gaussian Splatting, supporting both individual objects and complex multi-object environments.
LUMINOUS	TalkingPose	https://github.com/dfki-av/TalkingPose	An efficient face and gesture animation tool utilizing a feedback-guided diffusion model for high-quality motion synthesis from a single RGB image and driving poses.
MASTER	IMETA	https://doi.org/10.1145/3581754.3584125	An interactive mobile eye-tracking annotation method for semi-automatic fixation-to-AOI mapping.
MASTER	XR4MCR	https://github.com/LiderTeknolojiGelistirme/XR4MCR	A multi-user collaborative robotic maintenance training platform in extended reality, developed under the MASTER-XR open call to allow the creation and execution of industrial robot maintenance training scenarios without requiring code writing.
MAX-R	Data Hubs / XRDataHub	https://github.com/FilmakademieRnd/DataHub	Open-source software associated with XRDataHub, AnimHost, and browser-based XR tools.
MAX-R	EDM-Research/UE-LASAA	https://doi.org/10.5281/zenodo.15517094	Published code base developed to support the project's XR media pipelines.
Meetween	Speech LMM open release - V1	https://huggingface.co/meetween/Llama-speechlmm-1.0-l	Open release of the Speech Large Multimodal Model (SpeechLMM) created by the project.
Meetween	Mumospee open release - V1	https://huggingface.co/datasets/meetween/mumospee	One of the largest open multimodal datasets created to train the SpeechLMM.
Meetween	MOSEL	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	https://doi.org/10.18653/V1/2025.IWSLT-1.2	A dataset built specifically for abstract generation from scientific talks.
Meetween	FAMA	https://doi.org/10.48550/ARXIV.2505.22759	The first large-scale open-science speech foundation model for Italian and English.
Meetween	Mumospee	https://huggingface.co/datasets/meetween/mumospee	A comprehensive multimodal and multilingual speech-metadata corpus featuring over 140,000 hours of speech data across 25 EU languages and more, used for training SpeechLMM.
Meetween	Meetween YouTube Meeting Dataset	https://huggingface.co/datasets/meetween/meetween_youtube_meeting	A dataset comprising processed transcripts and metadata from over 122,000 public YouTube videos (covering virtual meetings, webinars, etc.), totaling over 80,000 hours of audiovisual content.
Meetween	speechlmm	https://github.com/Meetween/speechlmm	The codebase for Meetween's multimodal and multilingual foundation models (SpeechLMM) that support audio, video, and text inputs and outputs.
Meetween	ditto-talkinghead	https://github.com/Meetween/ditto-talkinghead	An open-source implementation of Motion-Space Diffusion for Controllable Real-time Talking Head Synthesis.
Meetween	voicebox-pytorch	https://github.com/Meetween/voicebox-pytorch	A PyTorch implementation of Voicebox, a state-of-the-art text-to-speech network.
Meetween	evaluation-server	https://github.com/Meetween/evaluation-server	A Python-based evaluation server repository used for the project's evaluations.
Meetween	contr-pretraining	https://github.com/MaikeZuefle/contr-pretraining	A repository for contrastive pretraining utilizing datasets like MustC-v1 and GigaSpeech, originally based on LLaVA and further developed by the Meetween team.
MEMENTOES	D2.1: 3D Reconstruction Kit - Dataset	https://doi.org/10.5281/zenodo.17816967	A dataset produced to design computer vision methods capable of generating 3D reconstructions of historically significant objects using only RGB image sequences.
MEMENTOES	D4.3: Findings on Games as Vehicles for Social Change (Dataset)	https://zenodo.org/records/17816607	A dataset examining the potential of narrative-driven and immersive video games to influence players' attitudes towards social issues and human rights.
NANOVR	Martinize2 and Vermouth	https://doi.org/10.48550/arxiv.2212.01191	A unified framework utilized for molecular topology generation.
NANOVR	NanoVer Server	https://doi.org/10.21105/joss.08118	A Python package for serving real-time multi-user interactive molecular dynamics in VR.
POPULAR	AR Eyewear Simulation Tool	https://doi.org/10.1117/12.3042612	A software simulation tool explicitly developed for holographic-based augmented reality eyewear.
PRESENCE	LiveSkeleton	https://doi.org/10.1109/ISM63611.2024.00054	A system providing high-quality real-time human tracking and pose estimation.
PRESENCE	Flexible toolkit for real-time action recognition	https://doi.org/10.5281/ZENODO.15974094	A flexible, reusable toolkit for the real-time action recognition of virtual humans in XR/AR environments.
PRESENCE	Intelligent Virtual Human SDK	github.com/uhhhci/intelligent-virtual-agent-sdk	An intelligent virtual agent authoring toolkit with interoperability for Rocketbox, CC4, and Didimo characters, designed for multimodal communication and interaction in XR environments.
SHARESPACE	CT-DQN: Control-Tutored Deep Reinforcement Learning	https://doi.org/10.48550/arXiv.2212.01343	Code base and model architecture for a control-tutored deep reinforcement learning methodology.
SHARESPACE	Deep Space Starter Kit	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.
SHARESPACE	pharus	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	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	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	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	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	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.
SHARESPACE	Cognitive Architecture (PoP Amplification)	https://github.com/FrancescoDeLellis/L2_Cognitive_Architecture_PoP_Amplification	Cognitive architecture deployed for the Proof of Principle of Amplification.
SONICOM	The SONICOM HRTF Dataset	https://doi.org/10.17743/jaes.2022.0066	Dataset of Head-Related Transfer Functions for artificial intelligence-driven immersive audio.
SONICOM	PAN-AR	https://doi.org/10.1145/3678299.3678332	A multimodal dataset featuring higher-order ambisonics room impulse responses and spherical pictures.
SONICOM	NumCalc	https://doi.org/10.1016/j.enganabound.2024.01.008	An open-source Boundary Element Method (BEM) code for solving acoustic scattering problems.
SONICOM	Auditory modelling toolbox (AMT)	https://ecosystem.sonicom.eu/tools/1	Toolbox to facilitate reproducible research in auditory modeling.
SONICOM	Frambi	https://doi.org/10.61782/fa.2023.0494	A flexible software framework tailored for auditory modeling based on Bayesian inference.
SONICOM	Binaural Rendering Toolbox (BRTLibrary)	https://github.com/GrupoDiana/BRTLibrary	A set of software libraries, applications, and definitions aimed as a virtual laboratory for psychoacoustic experimentation, implementing algorithms for audio spatialisation and simulation using headphones.
SONICOM	Hybrid ISM+BRIR Simulator	https://github.com/3DTune-In/Hybrid_ISM_BRIR_Method_TestApp	An openFrameworks-based real-time acoustic simulation application that combines the Image Source Method (ISM) for early reflections with measured Binaural Room Impulse Responses (BRIRs) for the late reverberant tail.
SONICOM	HRTF Explorer	https://github.com/Katarina-Poole/HRTF_Explorer	A Python GUI that uses OSC commands to communicate with the Binaural Rendering Toolbox (BRT) to render binaural audio and explore different HRTFs.
SONICOM	Spatial Audio Metrics (SAM)	https://github.com/Katarina-Poole/Spatial-Audio-Metrics	A Python toolbox that allows for the visualisation and comparison of HRTFs and the analysis of spatial audio and perceptual experiments.
SPIRIT	GreenWise	https://doi.org/10.1145/3773274.3774275	An intelligent application migration framework for containerized machine learning services.
SPIRIT	STEP-MR	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.
SPIRIT	IntentFramework	https://github.com/penguos/IntentFramework	An experimental intent-aware SDN network adaptation framework that enables the SDN controller to select optimal paths for incoming application flows based on real-time application and transport layer traces.
SPIRIT	SPIRIT Organization Repository	https://github.com/SPIRIT-org/SPIRIT	The primary organizational repository for the SPIRIT project that outlines the licensing structure for project components, such as GNU GPLv3 for software and the CERN Open Hardware Licence for hardware designs.
SUN	Simulation of Heuristics for AGV Task Sequencing	https://doi.org/10.3390/MATH12020271	Replication data utilizing dynamic queues and resource sharing.
SUN	Knee Rehabilitation Dataset	https://doi.org/10.1038/S41597-025-04963-4	A specialized dataset of knee rehabilitation exercises for postural assessment utilizing wearable devices.
SUN	MC-GTA	https://doi.org/10.5281/zenodo.8335396	A synthetic benchmark dataset aimed at advancing multi-camera vehicle tracking capabilities.
SUN	Ubervvald	https://doi.org/10.1007/978-981-96-5887-9_14	An advanced object detection library created to optimize complex Convolutional Neural Networks (CNNs).
SUN	OmniBridge	https://www.sun-xr-project.eu/	The middleware core of the SUN integrated XR platform, serving as a central data broker that manages session-based communication, enables secure real-time coordination between distributed XR components, and uses an MQTT broker for low-latency data exchange.
SUN	Tokenized Platform	https://www.sun-xr-project.eu/	A blockchain-based platform for creating and trading digital assets using fungible and non-fungible tokens (NFTs). It also acts as the main storage for data exchanged within the overall SUN Platform.
SUN	Avatar Pipeline	https://www.sun-xr-project.eu/	An automatic pipeline that generates realistic, animatable 3D human avatars from a single smartphone video, utilizing tools like Nerfacto for volumetric reconstruction and extracting meshes with skeletal and facial blendshapes.
SUN	AI-based texture inpainting	https://www.sun-xr-project.eu/	An AI-powered standalone tool designed for 3D asset creation and 3D texture enhancement.
SUN	AI despecular for photogrammetry	https://www.sun-xr-project.eu/	A tool utilizing a specifically trained neural network to remove specular highlights from photos, improving the photogrammetric 3D asset creation pipeline in terms of calibration, surface generation, and texture mapping.
SUN	Hololight Stream	https://www.sun-xr-project.eu/	An advanced XR pixel streaming technology created to offload rendering tasks from XR devices to more powerful external servers.
SUN	Semantic 3D Reconstruction	https://www.sun-xr-project.eu/	A semantic 3D reconstruction engine that processes posed RGBD images to provide a coarse 3D reconstruction with attached semantics that can be queried using natural language.
SUN	Open-Vocabulary Object Detection	https://www.sun-xr-project.eu/	A computer vision component capable of performing real-time object detection and recognition in images using open-vocabulary models.
SUN	Medium-density EMG and IMU interface	https://www.sun-xr-project.eu/	An interface for gait rehabilitation and movement analysis that provides doctors with quantitative muscle activation information in real-time.
SUN	XR Threat Detection	https://www.sun-xr-project.eu/	A security component designed to detect and stop multiple security threats in real-time, reducing the risk of reputation damage for XR products.
SUN	SUN Integrated Platform	https://www.sun-xr-project.eu/	A unified data exchange ecosystem providing a ready-to-use foundation for coordinating IoT devices and virtual-world services in domain-specific XR experiences.
THEIA-XR	Extended Reality Technologies for operating environments	https://www.theia-xr.eu/	XR solutions designed for cabin-based and tele-operational environments that combine augmented reality (AR) visualizations with sound and haptic feedback to make non-perceivable information visible to human operators.
THEIA-XR	XR interaction concepts and design principles	https://www.theia-xr.eu/	A set of principles facilitating a human-friendly and intuitive design of XR interactions in industrial applications, addressing human capabilities, experiences, and task requirements.
THEIA-XR	Transdisciplinary co-design methodology	https://www.theia-xr.eu/	A scenario-based methodology involving users, stakeholders, and multidisciplinary researchers to collect human requirements and develop multimodal XR information presentation solutions.
THEIA-XR	XR applications for thermal imaging and laser projections	https://www.theia-xr.eu/	Specific, operator-approved XR applications co-designed for the cabins of off-highway vehicles (such as snow groomers and construction machinery), intended for scenarios where traditional handheld or head-worn devices are impractical.
TIMELAPSE	TIMELAPSE VR Application	https://timelapse.unimi.it/about-us/	A virtual reality application designed to speed up the perception of time passage for patients undergoing chemotherapy,,.
TransMIXR	UVG-CWI-DQPC: Dual-Quality Point Cloud Dataset	https://doi.org/10.1145/3746027.3758263	Point cloud dataset optimized for volumetric video applications.
TransMIXR	ComPEQ-MR	https://doi.org/10.1145/3625468.3652182	A compressed point cloud dataset featuring eye tracking and quality assessment in mixed reality.
TransMIXR	TSalV360: Text-driven Saliency Detection	https://doi.org/10.5281/ZENODO.17649129	Method and dataset tailored for saliency detection within 360-degree videos.
TransMIXR	VR2Gather	https://doi.org/10.1145/3664647.3685515	A collaborative social VR system open-sourced for adaptive multi-party real-time communication.
TransMIXR	TangibleMRCreate	https://doi.org/10.2312/EGVE.20231339	An intuitive authoring tool created to facilitate the development of mixed reality content.
TransMIXR	VR2Gather	https://github.com/cwi-dis/VR2Gather (also available via the project's fork at https://github.com/Transmixr/VR2Gather)	A customizable open-source application framework for Unity that enables the creation of immersive social VR experiences, allowing participants to be represented as live volumetric video without relying on a central cloud-based game engine.
TransMIXR	cwipc_unity_TRANSMIXR	https://github.com/Transmixr/cwipc_unity_TRANSMIXR	A Unity package specifically dedicated to supporting cwipc (customizable point cloud) libraries within the TRANSMIXR project.
TransMIXR	TRANSMIXR_Assets	https://github.com/Transmixr/TRANSMIXR_Assets	A repository hosting 3D model assets (such as .glb and .gltf files) used in the TRANSMIXR project. It allows public access for easy integration into immersive or web-based applications, supporting dynamic content loading via Open Sound Control (OSC) commands.
TransMIXR	Scoping-Review-Scripts	https://github.com/Transmixr/Scoping-Review-Scripts	A repository containing the Java-based scripts utilized during the scoping review process of the project.
TrustChain	Decentralized Management of Federated Cloud and Edge Providers	https://doi.org/10.5281/ZENODO.10785252	A management framework for the efficient and budget-balanced handling of federated cloud and edge platforms.
TrustChain	SURE: Privacy and Utility Assessment Library	https://doi.org/10.5281/ZENODO.13843053	A new library designed to assess privacy and utility for synthetic data.
TrustChain	CreatorCredentials	https://github.com/NGI-TRUSTCHAIN/CreatorCredentials	A user-centric digital identity management framework specifically designed for cultural and creative communities, allowing organizations to issue verifiable credentials to creators to increase the trustworthiness of digital media.
TrustChain	nxcc (Nano Cross-Chain Communication)	https://github.com/nxcc-bridge/nxcc	A secure, off-chain orchestration engine connecting blockchains, APIs, and systems using JavaScript workers that execute inside hardware-protected Trusted Execution Environments (TEEs).
TrustChain	LED-UP	https://github.com/NGI-TRUSTCHAIN/LED-UP	A decentralized data management platform utilizing smart contracts and serverless APIs to securely register and share data, incorporating a compensation model for data providers.
TrustChain	MUSAP	https://github.com/NGI-TRUSTCHAIN/MUSAP_project	Multiple SSCD with Unified Signature API Library; an intermediary open-source layer that abstracts the complexities of different Secure Signature Creation Devices (SSCDs) into a unified API for smartphone applications.
TrustChain	TheSocialWallet	https://github.com/NGI-TRUSTCHAIN/TheSocialWallet	An edge wallet and backend platform utilizing decentralized identifiers (DIDs) and verifiable credentials (VCs) to streamline and secure the distribution of social benefits for marginalized communities.
TrustChain	MS3 (Modular Multi-chain Suite)	https://github.com/NGI-TRUSTCHAIN/MS3	An open-source adapter framework designed to systematically address Web3 fragmentation and significantly reduce development complexity for decentralized applications (dApps).
TrustChain	Opentrace	https://github.com/NGI-TRUSTCHAIN/Opentrace-	An open protocol and reference implementation designed for generating and verifying trustworthy data originating from physical-world sources.
VERGE	Space and Time User Distribution in a University Campus	https://doi.org/10.1016/J.COMNET.2024.110329	Measurement dataset containing spatiotemporal distributions of users.
VERGE	Edge4AI	https://doi.org/10.5281/ZENODO.15878533	A framework enabling intelligent edge automation and AI lifecycle management for Beyond 5G networks.
VERGE	Split_computing_CF_integration	https://github.com/VERGE-PROJECT/Split_computing_CF_integration	A Deep Reinforcement Learning (DRL) solution for dynamic neural network inference splitting between user equipment (UE) and edge servers, integrated with the VERGE Cognitive Framework for comprehensive experiment tracking and model deployment.
VERGE	COMPSs	https://github.com/VERGE-PROJECT/COMPSs	A distributed computing framework providing application abstraction to facilitate the development of distributed workflows through simple task annotation, and abstracting application development from infrastructure through its run-time environment.
VERGE	VERGE Open Dataspace Datasets	https://github.com/VERGE-PROJECT/datasets	A collection of repositories hosting datasets generated by the project to enable public access for AI/ML training, including the Space-Time-User-Distribution-Dataset, PCDataset, deployed-slicing-testbed-dataset, Real-5G-Network-Dataset, 3D-Design-Dataset, and more.
VERGE	verge-formal-verification-service	https://github.com/VERGE-PROJECT/verge-formal-verification-service	A repository hosting the formal verification service components for the VERGE project.
VERGE	reproAccel	https://www.verge-project.eu/	An FPGA SoC resource management layer that enables seamless reconfiguration for interconnected software and FPGA-accelerated functions running on devices deployed at the far and extreme edge.
XR2Learn	V-Lab	https://doi.org/10.1145/3565066.3608246	A VR educational application framework acting as a beacon application for immersive learning.
XR2Learn	INTERACT	https://doi.org/10.1145/3565066.3608250	An authoring tool facilitating the creation of human-centric interaction with 3D objects in VR.
XR2Learn	XR2Learn platform	https://xr2learn.eu/platform/	The software code structure of the XR marketplace, including the on-demand components and IPR tools.
XR2Learn	enabler-interact	https://github.com/XR2Learn/enabler-interact	A Unity plugin (Enabler "INTERACT") for creating human-centric simulations in virtual reality, featuring an embedded physics engine, flexible cable simulation, natural object interaction, and assembly scenarization.
XR2Learn	Personalization-Enablers-Training-Tools	https://github.com/XR2Learn/Personalization-Enablers-Training-Tools	Tools for pre-training and fine-tuning emotion recognition models. It encompasses data pre-processing, handcrafted and self-supervised learning (SSL) feature extraction, and supervised fine-tuning.
XR2Learn	Personalization-Enablers-Inference-Tools	https://github.com/XR2Learn/Personalization-Enablers-Inference-Tools	Inference tools designed for unimodal and multimodal emotion classification and evaluation, including decision-level multimodal fusion and pre-processing components.
XR2Learn	Personalization-Tool	https://github.com/XR2Learn/Personalization-Tool	A self-adaptive system that utilizes predicted emotions and contextual information (e.g., activity levels) to provide personalized suggestions in educational XR applications via real-time asynchronous communication.
XR2Learn	Personalization-Enablers-CLI	https://github.com/XR2Learn/Personalization-Enablers-CLI	A unified command-line interface that automates and facilitates access to the XR2Learn training, inference, and personalization tools, providing pre-configured scripts and benchmarks for end-to-end integration testing.
XR2Learn	magic-xroom	https://github.com/XR2Learn/magic-xroom	A VR application designed to elicit specific emotions and gather data from external sensors (e.g., headsets, Shimmer 3 GSR+, lip/eye trackers) across a set of increasingly difficult scenarios.
XR2Learn	Personalization-Components-Template	https://github.com/XR2Learn/Personalization-Components-Template	A CookieCutter template project created to support developers in building new components for the personalization enablers, making it easier to extend supported modalities.
XR2Learn	Personalization-Integration-Template	https://github.com/XR2Learn/Personalization-Integration-Template	An example project demonstrating how to seamlessly communicate a Unity application with the Personalization Enablers by exchanging messages using a Pub/Sub protocol.
XR2Learn	data-collection-module-steamvr	https://github.com/XR2Learn/data-collection-module-steamvr	A collection of data collecting scripts and assets extracted directly from the Magic Xroom project.
XR4ED	XR Module	https://xr4ed.eu/	A comprehensive suite of tools designed to facilitate the creation, visualization, and interaction with immersive 3D content, empowering educators and creators to build virtual environments.
XR4ED	World Builder	https://xr4ed.eu/	A user-friendly authoring tool and editor within the XR Module used for creating interactive 3D environments ("Worlds"). It allows users to import 3D models, audio, images, and videos without requiring extensive programming expertise.
XR4ED	Portal Hopper (Metandora)	https://xr4ed.eu/	A user-facing application and player that renders, visualizes, and allows interaction with the 3D worlds created by the World Builder. It supports VR-mode, 3rd-person, and 1st-person views.
XR4ED	Marketplace	https://xr4ed.eu/	A centralized web application and hub for accessing, purchasing, and downloading digital XR assets. It handles product management, content distribution, transactions, and digital rights management (DRM).
XR4ED	Interaction Editor	https://xr4ed.eu/	A tool within the XR Module dedicated to defining user interactions within the constructed 3D virtual environments.
XR4ED	Avatars and Templates	https://xr4ed.eu/	Pre-designed frameworks and customizable digital representations of users that accelerate the creation of complex scenes and enhance immersion and interactivity within the platform.
XR4ED	XR4ED Microservices	https://xr4ed.eu/	A robust backend suite of autonomous services operating over REST APIs, including User Authentication, License Management, Products Management, and File Management.
XR4Human	Online Rating Repository	https://doi.org/10.5281/ZENODO.17896488	Digital repository functioning as a rating and evaluation tool for human-centered XR frameworks.
XR4Human	European Code of Conduct for Responsible XR Technologies	https://xr4human.eu/	A framework setting forth ethical obligations for developers to ensure immersive technologies respect human rights, protect user privacy, promote inclusivity, and safeguard user well-being.
XR4Human	Self-Assessment Toolkit	https://xr4human.eu/	A toolkit containing an Ethical Impact Assessment (EIA) and a Compliance Checklist to help developers anticipate, assess, and mitigate the effects of their XR innovations on users and society.
XR4Human	AI Guide	https://xr4human.eu/	A guide providing step-by-step instructions and prompts for compiling the project's tools and documentation into a Large Language Model (LLM) to assist in responsible XR design.
XR4Human	Interoperability Guidance Document	https://doi.org/10.5281/zenodo.14046081	A living document and map providing an overview of the current state of interoperability, existing standards, and best practices in XR and spatial computing.
XR4Human	Knowledge Hub	https://xr4human.eu/	A centralized online resource organized into practical steps (Learn, Assess, Test and Explore, Reflect) that supports the use of the self-assessment toolkit and provides insights into ethical and legal issues.
XR4Human	Experience Library	https://xr4human.eu/	An interactive, curated library of real-world XR case studies, immersive applications, and user experiences that highlight and demonstrate a commitment to best ethical practices.
XR4Human	Rating System and Educational Toolbox	https://xr4human.eu/	A set of educational materials, including videos and a rating repository, aimed at empowering end-users to make informed decisions regarding the acquisition and usage of XR solutions.
XR4Human	XR4Human Forum	https://xr4human.eu/	A community-driven digital space and dialogue platform bringing together businesses, civil society, researchers, and policymakers to discuss the societal impact and governance of XR.
XR4Human	Test Cases for Demonstration and Validation	https://xr4human.eu/	An online repository of test cases designed to record and demonstrate the practical real-world application of the XR Code of Conduct.
XR5.0	Trainer Authoring Tool	https://xr50.eu/	A web application utilized by training managers within Industry 5.0 environments to author and create personalized training workflows.
XR5.0	Cloud Repository	https://xr50.eu/	A central storage and retrieval platform that hosts training materials, videos, 3D models, and workflows, exposing a "Storage API" for XR plugins to access.
XR5.0	AI Models and Services	https://xr50.eu/	A suite of specialized AI models encompassing Generative AI, Neurosymbolic AI, Active Learning, and Explainable AI (XAI) that provide real-time services like content generation, malfunction detection, and model explanations directly to XR applications.
XR5.0	Central XR Hub	https://xr50.eu/	An orchestration component that manages user authentication and coordinates various XR applications, ensuring smooth integration with streaming solutions and training plugins.
XR5.0	Extract, Transform, Load (ETL) Pipeline	https://xr50.eu/	A data pipeline tool that accesses industry data (such as IoT sensors, XR gesture data, and ERP systems), transforms it into a suitable format, and delivers harmonized data to XR glasses for real-time visualization.
XR5.0	Remote Assistance Platform	https://xr50.eu/	A platform enabling real-time collaboration and communication between on-site operators and remote experts using XR technologies for operational support, guidance, and troubleshooting.
XR5.0	Human-Centric Digital Twins	https://xr50.eu/	Expanding on the Clawdite platform, this component constructs detailed "digital images" of workers by capturing static traits (height, skills) alongside dynamic contexts (fatigue, emotional state) to personalize and adapt the XR experience in real-time.
XReco	XR and Media Transformation APIs and Authoring 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.
XReco	Textual Video Content Dataset	https://doi.org/10.1145/3746027.3758224	A dataset and corresponding metric created specifically for textual video content description.
XReco	vitrivr-engine	https://doi.org/10.1145/3746027.3756874	An open-source multimedia retrieval engine for content and similarity searches.
XReco	XRCapsules	https://github.com/visyonXR/XReco	A comprehensive, web-based XR platform that enables the creation, editing, and deployment of immersive 3D experiences across multiple target devices (like AR/VR headsets and web browsers). It includes the XRCapsule Player and a JSON specification defining the data model.
XReco	vitrivr-engine	https://github.com/vitrivr/vitrivr-engine	An open-source, multi-modal multimedia retrieval system that powers the XReco Neural Media Repository (NMR) backend. It handles the ingestion, feature extraction, analysis, and retrieval of multimedia objects like audio, video, images, and 3D models.
XReco	3D model descriptors extraction	https://github.com/XRecoEU/WP3-T3.2-3D-model-descriptors-extraction	An analysis service component that extracts descriptors for 3D models.
XReco	WAVL-Dataset	https://github.com/XRecoEU/WAVL-Dataset	A repository providing the Weakly Annotated Video Landmarks (WAVL) dataset and its associated code.
XReco	ZAUBAR XReco Editor	https://github.com/zaubar	A web-based XR content management platform combining map-first authoring and AppAR delivery, allowing creators to design and publish location-based AR tours.
XReco	XReco NewsTagger LoRa adapters	https://huggingface.co/raicrits/Llama_NewsTagger_XRECO	Fine-tuned LoRa adapters for the Llama-3.1-8B-Instruct model, designed to attribute meaningful tags to news articles in Italian, English, German, and Slovenian.
XTREME	Multi-Flow: Multi-View-Enriched Normalizing Flows	https://doi.org/10.48550/ARXIV.2504.03306	Advanced deep learning framework created for industrial anomaly detection.
XTREME	Marionette AI-driven motion capture software	https://xtremeitu.dk/	An AI-driven, camera-based motion capture software that extracts 3D animation from video, allowing creators to record motion capture anywhere without the need for specialized suits.
XTREME	4DSOUND Spatial Audio Engine (4DS XR Framework)	https://xtremeitu.dk/	A high-performance and high-definition spatial audio engine featuring an intuitive interface designed for the creation of immersive audio and cross-media interactivity.
XTREME	3D Audio-Visual Reconstruction Module	https://xtremeitu.dk/	A module responsible for reconstructing the scene by mapping multichannel sound to an acoustic image stream, as well as performing multimodal audio-visual detection.
XTREME	Human Reconstruction and Virtual Presence Tool	https://xtremeitu.dk/	A set of core technologies focused on the 3D reconstruction of dynamically moving people, real-time motion capture in mobile environments, and fine-grain human pose estimation.
XTREME	XTREME System Architecture and API	https://xtremeitu.dk/	The overarching system architecture and Application Programming Interface (API) developed to integrate the various mixed reality components and support the audio-visual performances.
XTREME	Multiview Scene Synthesis Tool	https://xtremeitu.dk/	A research-driven component dedicated to multiview scene synthesis, sound visualization, and music content understanding to create computational synaesthesia.