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Tipo de expresión:
Doctorado: Propuesta de dirección de tesis doctoral/temática para solicitar ayuda predoctoral ("Hosting Offer o EoI")

Ámbito:
Computer vision; Machine Learning; Robotics

Área:
Materia

Modalidad:
Ayudas para contratos predoctorales para la formación de doctores (antiguas FPI)

Referencia:
PIF2024

Centro o Instituto:
INSTITUTO DE ROBOTICA E INFORMATICA INDUSTRIAL

Investigador:
ANTONIO AGUDO MARTINEZ

Palabras clave:
Human Modelling, Neural Models, Computer Vision

Documentos anexos:
667069.pdf
667071.docx

PIF2024 - Generating realistic and dynamic avatars in unconstrained environments (PID2023-151184OB-I00)

The overarching aim of this project is to advance the field of 3D human digitization, interaction modeling, and related technologies. Through cutting-edge research and innovation, we seek to contribute to the development of highly realistic and personalized avatars with applications spanning virtual reality, entertainment, e-commerce, healthcare, and fitness monitoring. Particularly, in this project you will work on developing novel algorithms that enable high-fidelity 3D human digitization from RGB images in non-controlled settings. Address challenges related to noisy observations, non-calibrated cameras, and diverse body poses to improve robustness in real-world scenarios. To this end, we will explore some novel ideas in neural rendering, Gaussian splatting and diffusion models.
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