Correspondence through Millions Bodies: a large-scale, functional, and implicit data-driven method for 3D Humans matching

Información del proyecto

CoMBo

Identificador del acuerdo de subvención: 101109330

DOI

10.3030/101109330

Proyecto cerrado

Fecha de la firma de la CE 24 Marzo 2023

Fecha de inicio 1 Julio 2023

Fecha de finalización 31 Julio 2024

Financiado con arreglo a

• Marie Skłodowska-Curie Actions (MSCA)

Coste total

Sin datos

Aportación de la UE

€ 86 923,68

Coordinado por

EBERHARD KARLS UNIVERSITAET TUEBINGEN
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Data Management Plan (1)

DMP

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Publicaciones

Conference proceedings (6)

Spectral Maps for Learning on Subgraphs

Autores: Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà
Publicado en: NeuREPS workshop: Symmetry and Geometry in Neural Representations, ISSN 2640-3498
Editor: Proceedings of Machine Learning Research

Human 3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models

Autores: Yuxuan Xue, Xianghui Xie, Riccardo Marin, Gerard Pons-Moll
Publicado en: NeurIPS, ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/ARXIV.2406.08475

Interaction Replica: Tracking Human–Object Interaction and Scene Changes From Human Motion

Autores: Guzov, Vladimir; Chibane, Julian; Marin, Riccardo; He, Yannan; Saracoglu, Yunus; Sattler, Torsten; Pons-Moll, Gerard
Publicado en: 2024 International Conference on 3D Vision (3DV), 2024
DOI: 10.1109/3DV62453.2024.00072

CloSe: A 3D Clothing Segmentation Dataset and Model

Autores: Antić, Dimitrije; Tiwari, Garvita; Ozcomlekci, Batuhan; Marin, Riccardo; Pons-Moll, Gerard
Publicado en: International Conference on 3D Vision, 2024
Editor: IEEE
DOI: 10.48550/arxiv.2401.12051

NICP: Neural ICP for 3D Human Registration at Scale

Autores: Riccardo Marin, Enric Corona, Gerard Pons-Moll
Publicado en: Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LVIII, ISBN 978-3-031-73635-3
Editor: Springer-Verlag
DOI: 10.1007/978-3-031-73636-0_16

NSF: Neural Surface Fields for Human Modeling from Monocular Depth

Autores: Yuxuan Xue, Bharat Lal Bhatnagar, Riccardo Marin, Nikolaos Sarafianos, Yuanlu Xu, Gerard Pons-Moll, Tony Tung
Publicado en: International Conference on Computer Vision, ISSN 1550-5499
Editor: IEEE
DOI: 10.48550/ARXIV.2308.14847

Other (1)

Zero-Shot Stitching in Reinforcement Learning using Relative Representations

Autores: Antonio Pio Ricciardi, Valentino Maiorca, Luca Moschella, Riccardo Marin, Emanuele Rodolà
Publicado en: ISSN 2331-8422
Editor: Cornell University
DOI: 10.48550/ARXIV.2404.12917