Bio
I am currently a PhD student working with Prof. Maks Ovsjanikov.
I obtained an MSc in Applied Mathematics for Vision and Learning (MVA) at ENS Paris-Saclay and a BSc in Mathematics and Computer Science at École Polytechnique.
I am deeply interested in the intersection of Computer Vision and Graphics, particularly in exploring how novel deep learning techniques can enhance the rich research landscape of these fields. Currently, I am focused on applying NeRF and 3DGS technologies in challenging scenarios, such as inverse rendering and few-shot novel view synthesis. Additionally, I am intrigued by the geometric knowledge encoded in generative models and plan to leverage this understanding to resolve ambiguities in underconstrained situations.
Updates
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04/2026 - We released "From Blobs to Spokes: High-Fidelity Surface Reconstruction via Oriented Gaussians" in arxiv. Go check it out! New
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09/2025 - Our work "MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction" has been accepted to SIGGRAPH Asia 2025 - Journal Track (TOG)!
Show older updates
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06/2025 - Our work "ZeroKey: Point-Level Reasoning and Zero-Shot 3D Keypoint Detection from Large Language Models" has been accepted at ICCV 2025!
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06/2025 - Our work "Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces" has been accepted at CVPR 2025!
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03/2025 - Our work "FourieRF: Few-Shot NeRFs via Progressive Fourier Frequency Control" was accepted at 3DV 2025!
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07/2024 - Our work "RRM: Relightable assets using Radiance guided Material extraction" was accepted at CGI 2024!
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01/2024 - I started a PhD working with Prof. Maks Ovsjanikov at LIX - Ecole Polytechnique.
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04/2023 - I started an internship at Adobe Research Paris. I will collaborate with Élie Michel, Julien Philip and Adrien Kaiser.
GitHub Projects
Research
Highlighted papers indicate selected works.
