Accurate 3D Scene Reconstruction From Images With Neural Method H/F - CEA

Le CEA est un acteur majeur de la recherche, au service des citoyens, de l'économie et de l'Etat.

Il apporte des solutions concrètes à leurs besoins dans quatre domaines principaux : transition énergétique, transition numérique, technologies pour la médecine du futur, défense et sécurité sur un socle de recherche fondamentale. Le CEA s'engage depuis plus de 75 ans au service de la souveraineté scientifique, technologique et industrielle de la France et de l'Europe pour un présent et un avenir mieux maîtrisés et plus sûrs.

Implanté au coeur des territoires équipés de très grandes infrastructures de recherche, le CEA dispose d'un large éventail de partenaires académiques et industriels en France, en Europe et à l'international.

Les 20 000 collaboratrices et collaborateurs du CEA partagent trois valeurs fondamentales :

- La conscience des responsabilités
- La coopération
- La curiositéMissions:
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 €1300 and €1400 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...

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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