Language Augmentation for Humanverse

Informazioni relative al progetto

LUMINOUS

ID dell’accordo di sovvenzione: 101135724

DOI

10.3030/101135724

Data della firma CE 23 Ottobre 2023

Data di avvio 1 Gennaio 2024

Data di completamento 31 Dicembre 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 5 603 706,25

Contributo UE

€ 5 603 706,25

Coordinato da

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (7)

Intermediate report on virtual avatar rendering and animation

This first report presents the results and approached developed for the creation of realistic avatar rendering using hybrid structures (mesh + neural rendering).

Report on the identification of evaluation metrics and dataset collections

The report presents the collected MLLM datasets, which will be used for the system development and tests, and later for the trials.Moreover it will propose a meaningful metric for the evaluation of the implemented neural networks.

LUMINOUS Impact Master Plan

"The report ""LUMINOUS Impact Master Plan"" defines the strategy and measures for ensuring the maximum impact of the project. This includes dissemination and communication strategy (Communication and Dissemination Plan), identification of synergy effects with other related projects and a first Exploitation Plan."

POPD - Requirement No. 2

The report presents the requirements related to the Protection of Personal Data of the persons involved in the trials. This will include the description of the anonymisation/pseudonymisation techniques that will be implemented in the project and all related compliance issues to safeguard the rights of the subjects.

Trustworthy AI - Requirement No. 3

The deliverable provides an overview of the investigation of the framework for LUMINOUS applications for compliance with Trustworthy AI.

Humans(H) - Requirement No. 1

The deliverable present the details about how the consent of the participants will be acquired in accordance with the regulations and ethics principles.

LUMINOUS Dissemination and Communication Interim Report

The report provides a mid-term overview of the reached dissemination and communication activities and will be use to refine the overall strategy.

Pubblicazioni

Conference proceedings (13)

Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection

Autori: Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker, Muhammad Zeshan Afzal
Pubblicato in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Editore: IEEE
DOI: 10.1109/CVPR52733.2024.00558

PixT3: Pixel-based Table-To-Text Generation

Autori: Iñigo Alonso, Eneko Agirre, Mirella Lapata
Pubblicato in: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/V1/2024.ACL-LONG.364

Compact 3D Scene Representation via Self-Organizing Gaussian Grids

Autori: Wieland Morgenstern, Florian Barthel, Anna Hilsmann, Peter Eisert
Pubblicato in: European Conference on Computer Vision (ECCV 2024), 2024
Editore: Springer Science+Business Media
DOI: 10.1007/978-3-031-73013-9_2

STEP-DETR: Advancing DETR-based Semi-Supervised Object Detection with Super Teacher and Pseudo-Label Guided Text Queries

Autori: Tahira Shehzadi, Khurram Azeem Hashmi, Shalini Sarode, Didier Stricker, Muhammad Zeshan Afzal
Pubblicato in: International Conference on Computer Vision, ICCV 2025, 2025
Editore: IEEE Computer Society in cooperation with the Computer Vision Foundation (CVF)

Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts

Autori: Mohammad Sadil Khan, Sankalp Sinha, Talha Uddin Sheikh, Didier Stricker, Sk Aziz Ali, Muhammad Zeshan Afzal
Pubblicato in: NeurIPS 2024 - Neural Information Processing Systems, 2024
Editore: Curran Associates

Multi-Resolution Generative Modeling of Human Motion from Limited Data

Autori: David Eduardo Moreno-Villamarin, Anna Hilsmann, Peter Eisert
Pubblicato in: Proceedings of 21st ACM SIGGRAPH Conference on Visual Media Production, 2025
Editore: ACM
DOI: 10.1145/3697294.3697309

Improving Adaptive Density Control for 3D Gaussian Splatting

Autori: Glenn Grubert, Florian Barthel, Anna Hilsmann, Peter Eisert
Pubblicato in: Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2025
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0013308500003912

Gaussian Splatting Decoder for 3D-aware Generative Adversarial Networks

Autori: Florian Barthel, Arian Beckmann, Wieland Morgenstern, Anna Hilsmann, Peter Eisert
Pubblicato in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024
Editore: IEEE
DOI: 10.1109/CVPRW63382.2024.00794

Realtime-Rendering of Dynamic Scenes with Neural Radiance Fields

Autori: Kilian L. Krause, Wieland Morgenstern, Anna Hilsmann, Peter Eisert
Pubblicato in: 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2025
Editore: IEEE
DOI: 10.1109/VRW66409.2025.00345

Conversational Tutoring in VR Training: The Role of Game Context and State Variables

Autori: Maia Aguirre, Ariane Méndez, Aitor García-Pablos, Montse Cuadros, Arantza del Pozo, Oier Lopez de Lacalle, Ander Salaberria, Jeremy Barnes, Pablo Martínez, Muhammad Zeshan Afzal
Pubblicato in: 15th International Workshop on Spoken Dialogue Systems Technology, 2025
Editore: Association for Computational Linguistics

MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation

Autori: Sankalp Sinha, Mohammad Sadil Khan, Muhammad Usama, Shino Sam, Didier Stricker, Sk Aziz Ali, Muhammad Zeshan Afzal
Pubblicato in: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Editore: IEEE
DOI: 10.1109/CVPR52734.2025.00759

BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval

Autori: Imanol Miranda, Ander Salaberria, Eneko Agirre, Gorka Azkune
Pubblicato in: NeurIPS 2024 - Neural Information Processing Systems, 2024
Editore: Curran Associates

Vision-Language Models Struggle to Align Entities across Modalities

Autori: Iñigo Alonso, Gorka Azkune, Ander Salaberria, Jeremy Barnes, Oier Lopez De Lacalle
Pubblicato in: Findings of the Association for Computational Linguistics: ACL 2025, 2025
Editore: Association for Computational Linguistics
DOI: 10.18653/V1/2025.FINDINGS-ACL.965

Peer reviewed articles (2)

3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods

Autori: M. T. Bagdasarian, P. Knoll, Y. Li, F. Barthel, A. Hilsmann, P. Eisert, W. Morgenstern
Pubblicato in: Computer Graphics Forum, Numero 44, 2025, ISSN 0167-7055
Editore: Wiley
DOI: 10.1111/CGF.70078

Next Generation XR Systems—Large Language Models Meet Augmented and Virtual Reality

Autori: Muhamamd Zeshan Afzal, SK Aziz Ali, Didier Stricker, Peter Eisert, Anna Hilsmann, Daniel Perez-Marcos, Marco Bianchi, Sonia Crottaz-Herbette, Roberto De Ioris, Eleni Mangina, Mirco Sanguineti, Ander Salaberria, Oier Lopez de Lacalle, Aitor García-Pablos, Montse Cuadros
Pubblicato in: IEEE Computer Graphics and Applications, Numero 45, 2025, ISSN 0272-1716
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/MCG.2025.3548554