Open and reusable components repository - Revision history

Admin at 13:23, 6 July 2026

2026-07-06T13:23:32Z

← Older revision		Revision as of 13:23, 6 July 2026
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	\|-		\|-
	! [[6G-XR]]		! [[6G-XR]]
	\| Other Networking & Measurement Tools - QUINN \|\| 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).		\| 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]]		! [[6G-XR]]
	\| Other Networking & Measurement Tools - Latency clock \|\| github.com/SNS-JU/6gxr-latency-clock \|\|		\| Other Networking & Measurement Tools - Latency clock \|\| https://github.com/SNS-JU/6gxr-latency-clock \|\|
	\|-		\|-
	! [[6G-XR]]		! [[6G-XR]]
	\| Other Networking & Measurement Tools - GST Plug-ins \|\| github.com/SNS-JU/6gxr-gst-plugins-rs \|\|		\| Other Networking & Measurement Tools - GST Plug-ins \|\| https://github.com/SNS-JU/6gxr-gst-plugins-rs \|\|
	\|-		\|-
	! [[AI4WORK]]		! [[AI4WORK]]
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	\|-		\|-
	! [[SHARESPACE]]		! [[SHARESPACE]]
	\| Cognitive Architecture (PoP Amplification) \|\| github.com/FrancescoDeLellis/L2_Cognitive_Architecture_PoP_Amplification \|\| Cognitive architecture deployed for the Proof of Principle of Amplification.		\| Cognitive Architecture (PoP Amplification) \|\| https://github.com/FrancescoDeLellis/L2_Cognitive_Architecture_PoP_Amplification \|\| Cognitive architecture deployed for the Proof of Principle of Amplification.
	\|-		\|-
	! [[SONICOM]]		! [[SONICOM]]
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	\|-		\|-
	! [[SONICOM]]		! [[SONICOM]]
	\| Binaural Rendering Toolbox (BRTLibrary) \|\| 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.		\| 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]]		! [[SONICOM]]
	\| Hybrid ISM+BRIR Simulator \|\| 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.		\| 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]]		! [[SONICOM]]
	\| HRTF Explorer \|\| 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.		\| 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]]		! [[SONICOM]]
	\| Spatial Audio Metrics (SAM) \|\| 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.		\| 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]]		! [[SPIRIT]]
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	\| TangibleMRCreate \|\| https://doi.org/10.2312/EGVE.20231339 \|\| An intuitive authoring tool created to facilitate the development of mixed reality content.		\| TangibleMRCreate \|\| https://doi.org/10.2312/EGVE.20231339 \|\| An intuitive authoring tool created to facilitate the development of mixed reality content.
	\|-		\|-
	! [[~~TRANSMIXR~~]]		! [[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.		\| 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~~]]		! [[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.		\| 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]]
	\| 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_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~~]]		! [[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.		\| 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.
	\|-		\|-
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	\| 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.		\| 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~~]]		! [[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.		\| 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~~]]		! [[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.		\| 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~~]]		! [[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.		\| 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~~]]		! [[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.		\| 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~~]]		! [[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.		\| 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~~]]		! [[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.		\| 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~~]]		! [[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.		\| 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~~]]		! [[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.		\| 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]]
	\| 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 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~~]]		! [[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.		\| 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.
	\|-		\|-
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	! [[XReco]]		! [[XReco]]
	\| ZAUBAR XReco Editor \|\| ~~(Available on GitHub; specific URL not provided in sources)~~ \|\| A web-based XR content management platform combining map-first authoring and AppAR delivery, allowing creators to design and publish location-based AR tours.		\| 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]]
	\| XReco NewsTagger LoRa adapters \|\| ~~(Available on Hugging Face; specific URL not provided in sources)~~ \|\| 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.		\| 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]]		! [[XTREME]]

Admin at 13:18, 6 July 2026

2026-07-06T13:18:45Z

Show changes

Admin at 09:22, 23 April 2026

2026-04-23T09:22:13Z

← Older revision		Revision as of 09:22, 23 April 2026
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	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" style="margin:auto"		{\| class="wikitable sortable" style="margin:auto"

Admin at 09:21, 23 April 2026

2026-04-23T09:21:38Z

← Older revision		Revision as of 09:21, 23 April 2026
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	\|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]]~~
	~~\|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]]

Admin at 13:49, 22 April 2026

2026-04-22T13:49:43Z

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Admin at 11:40, 22 April 2026

2026-04-22T11:40:22Z

← Older revision		Revision as of 11:40, 22 April 2026
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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.

Admin at 11:33, 22 April 2026

2026-04-22T11:33:31Z

← Older revision		Revision as of 11:33, 22 April 2026
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	'''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 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"		{\| class="wikitable sortable" style="margin:auto"
	\|~~Project~~		\|-
	\|Domain		! data-sort-type="text"\|Project !! Domain !! Title !! Type of Asset !! Link / DOI !! Description
	\|Title
	\|Type of Asset
	\|Link / DOI
	\|Description
	\|-		\|-
	\|[[LUMINOUS]]		\|[[LUMINOUS]]

Admin at 11:29, 22 April 2026

2026-04-22T11:29:33Z

← Older revision		Revision as of 11:29, 22 April 2026
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	\|FREDSum		\|FREDSum
	\|Dataset		\|Dataset
	\|~~Not specified~~		\|https://arxiv.org/abs/2312.04843
	\|A dialogue summarization corpus specifically designed around French political debates.		\|A dialogue summarization corpus specifically designed around French political debates.
	\|-		\|-
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	\|https://doi.org/10.48550/arxiv.2507.09750		\|https://doi.org/10.48550/arxiv.2507.09750
	\|Synthetic room impulse responses featuring frequency-dependent absorption coefficients.		\|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]]		\|[[Meetween]]
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	\|Mumospee open release - V1		\|Mumospee open release - V1
	\|Dataset		\|Dataset
	\|~~Not specified~~		\|https://huggingface.co/datasets/meetween/mumospee
	\|One of the largest open multimodal datasets created to train the SpeechLMM.		\|One of the largest open multimodal datasets created to train the SpeechLMM.
	\|-		\|-
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	\|The first large-scale open-science speech foundation model for Italian and English.		\|The first large-scale open-science speech foundation model for Italian and English.
	\|-		\|-
	\|[[~~AI4Work~~]]		\|[[AI4WORK]]
	\|Digital, Industry & Space		\|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
	\|~~<nowiki>~~https://doi.org/10.5281/ZENODO.13148630~~</nowiki>~~		\|https://doi.org/10.5281/ZENODO.13148630
	\|Ontologies required to facilitate explainable-AI-readiness of data and models.		\|Ontologies required to facilitate explainable-AI-readiness of data and models.
	\|-		\|-
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	\|Data Hubs / XRDataHub		\|Data Hubs / XRDataHub
	\|Open-Source Software		\|Open-Source Software
	\|~~Not specified~~		\|https://github.com/FilmakademieRnd/DataHub
	\|Open-source software associated with XRDataHub, AnimHost, and browser-based XR tools.		\|Open-source software associated with XRDataHub, AnimHost, and browser-based XR tools.
	\|-		\|-
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	\|[[SONICOM]]		\|[[SONICOM]]
	\|FET		\|FET
	\|Auditory modelling toolbox (AMT) ~~version 2.0~~		\|Auditory modelling toolbox (AMT)
	\|Software		\|Software
	\|~~Not specified~~		\|https://ecosystem.sonicom.eu/tools/1
	\|Toolbox to facilitate reproducible research in auditory modeling.		\|Toolbox to facilitate reproducible research in auditory modeling.
	\|-		\|-
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	\|https://doi.org/10.5281/ZENODO.18468790		\|https://doi.org/10.5281/ZENODO.18468790
	\|Software for visual localization utilizing implicit representations and particle filtering-based pose refinement.		\|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]]		\|[[e-DIPLOMA]]
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	\|[[XR2Learn]]		\|[[XR2Learn]]
	\|Digital, Industry & Space		\|Digital, Industry & Space
	\|XR2Learn ~~Marketplace, IPR tools and~~ platform		\|XR2Learn platform
	\|~~Software Code~~		\|Online tool
	\|~~Not specified~~		\|https://xr2learn.eu/platform/
	\|The software code structure of the XR marketplace, including the on-demand components and IPR tools.		\|The software code structure of the XR marketplace, including the on-demand components and IPR tools.
	\|-		\|-
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	\|STEP-MR		\|STEP-MR
	\|Testing Platform		\|Testing Platform
	\|~~Not specified~~		\|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.		\|A subjective testing and eye-tracking platform built specifically for dynamic point clouds in mixed reality.
	\|-		\|-
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	\|Photogrammetry workflow for low-polygon 3D models		\|Photogrammetry workflow for low-polygon 3D models
	\|Workflow / Tool		\|Workflow / Tool
	\|~~Not specified~~		\|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.		\|A reusable workflow relying on free software to obtain low-polygon 3D models.
	\|-		\|-

Admin at 11:17, 22 April 2026

2026-04-22T11:17:38Z

← Older revision		Revision as of 11:17, 22 April 2026
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	\|Text2CAD		\|Text2CAD
	\|AI Model		\|AI Model
	\|~~Not specified~~		\|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.		\|A generative model capable of producing sequential CAD designs from text prompts.
	\|-		\|-
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	\|Speech LMM open release - V1		\|Speech LMM open release - V1
	\|AI Model		\|AI Model
	\|~~Not specified~~		\|https://huggingface.co/meetween/Llama-speechlmm-1.0-l
	\|Open release of the Speech Large Multimodal Model (SpeechLMM) created by the project.		\|Open release of the Speech Large Multimodal Model (SpeechLMM) created by the project.
	\|-		\|-
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	\|Uni-SLAM		\|Uni-SLAM
	\|AI Model / Software		\|AI Model / Software
	\|~~Not specified~~		\|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.		\|An uncertainty-aware neural implicit SLAM model developed for real-time dense indoor scene reconstruction.
	\|-		\|-
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	\|XR and Media Transformation APIs and Authoring Tools		\|XR and Media Transformation APIs and Authoring Tools
	\|APIs / Tools		\|APIs / Tools
	\|~~Not specified~~		\|https://xreco.eu/deliverables/#toc_D41_XR_and_Media_Transformation_Services_API_and
	\|APIs integrating vertical technologies for XR media transformation and content creation.		\|APIs integrating vertical technologies for XR media transformation and content creation.
	\|-		\|-
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	\|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
	\|~~Not specified~~		\|https://ieeexplore.ieee.org/document/10859207
	\|Data utilized for learning scene semantics intended for city-scale digital twins.		\|Data utilized for learning scene semantics intended for city-scale digital twins.
	\|-		\|-
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	\|ADAPT JR-Sim2Real dataset		\|ADAPT JR-Sim2Real dataset
	\|Dataset		\|Dataset
	\|~~Not specified~~		\|https://zenodo.org/records/12805642
	\|Dataset associated with domain transfer for instance segmentations for AR scenes.		\|Dataset associated with domain transfer for instance segmentations for AR scenes.
	\|-		\|-
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	\|[[SHARESPACE]]		\|[[SHARESPACE]]
	\|Digital, Industry & Space		\|Digital, Industry & Space
	\|~~Social interaction dataset~~		\|Deep Space Starter Kit
	\|~~Dataset~~		\|Software
	\|~~Not specified~~		\|https://github.com/ArsElectronicaFuturelab/UE-DeepSpace-Starter
	\|~~A comprehensive dataset focusing on social interaction, including protocols and scenarios~~.		\|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]]		\|[[CORTEX2]]
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	\|Not specified		\|Not specified
	\|A reusable workflow relying on free software to obtain low-polygon 3D models.		\|A reusable workflow relying on free software to obtain low-polygon 3D models.
			\|-
			\|[[SHARESPACE]]
			\|Culture, creativity
			\|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]]
			\|Culture, creativity
			\|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]]
			\|Culture, creativity
			\|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]]
			\|Culture, creativity
			\|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]]
			\|Culture, creativity
			\|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]]
			\|Culture, creativity
			\|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.
	\|}		\|}

Admin: Added full assets listing

2026-04-22T10:57:17Z

Added full assets listing

Show changes