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

Job description

Description

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 €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 #CEA-List

Date de début

21 oct., 2025

Profil

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

Fonction

Ingenierie_telecom

Formation

RJ/Qualif/Ingenieur_B5

Secteur

Ind_hightech_telecom