Accurate 3D scene reconstruction from images with neural Method H/F

Descripción del puesto:

Description du poste

Domaine

Sciences pour l'ingénieur

Contrat

Stage

Intitulé de l'offre

Accurate 3D scene reconstruction from images with neural Method H/F

Sujet de stage

Stage
3D reconstruction of an environment or object using multiple 2D images observed at different viewpoints is a well-studied research topic with multiple applications in robotics, medicine, AR/VR, and automotive. Recent work using AI techniques so-called Neural Fields have revolutionized the field of rendering based images. While generating highly realistic visualization of 3D environments, Neural Fields also recovers dense 3D surfaces leading to high-fidelity 3D reconstruction.

However, those techniques have limitations in terms of robustness and accuracy when it comes to large environments and specular objects such as metallic surfaces in an industrial environment.

Durée du contrat (en mois)

6

Description de l'offre

Missions:
During this internship, you will explore the state of the art techniques for 3D scene reconstruction from 2D image using Neural Fields. With a focus on the accuracy of reconstructed geometry, you will design and develop a method of 3D surface reconstruction, which will be applied to industrial environment.

The internship will notably include:
* Reviewing existing literature on the topic
* Selecting and implementing an existing approaches in the Neural Fields framework NeRFStudio
* Benchmarking the new method using images capturing an industrial environment

Job-related benefits
Joining the CEA List and the LVML as an intern means:
* Working in one of the most innovative research organizations in the world, addressing societal challenges to build the world of tomorrow
* Discovering a rich ecosystem: privileged connections between the industrial and academic sectors
* Conducting research autonomously and creatively: encouragement to publish results (scientific articles, patents, open-source codes...)
* Join a young and dynamic team
* Benefit from an internal computing infrastructure with more than 300 state-of-the-art GPUs
* Receive a stipend between EUR1300 and EUR1400 per month
* Have the opportunity to continue with a PhD or as a research engineer after the internship
* Receive a 75% reimbursement on public transportation costs, and benefit from the "mobili-jeune" aid to reduce rent costs…

#CEA-List

Profil du candidat

Qualifications:
* Students in their 5th year of studies ( Master 2) or gap year
* Computer vision skills (3D vision, image processing)
* Python proficiency in a deep learning framework (preferably PyTorch

Localisation du poste

Site

Saclay

Localisation du poste

France, Ile-de-France, Essonne (91)

Ville

Saclay

Critères candidat

Diplôme préparé

Bac+5 - Master 2

Demandeur

Disponibilité du poste

02/02/2026