Hiba Dahmani

Hiba Dahmani

PhD candidate in Computer Vision, researching diffusion models, neural rendering, and 3D representations for scalable 3D scene generation.

Work Experience

Research experience in computer vision, deep learning, generative modelling, and structured 3D representations.

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PhD Researcher

PhD Researcher

Huawei Paris Research Center

3D scene generation and reconstruction

  • Researching scalable 3D scene generation using diffusion models, neural rendering, and 3D representations.
  • Developing generative methods for autonomous driving and large-scale outdoor environments.
  • Designing efficient representations for high-fidelity scene reconstruction and novel view synthesis.
  • Collaborating with Huawei researchers and academic partners, resulting in publications at top-tier computer vision conferences.
Computer Vision Diffusion Models Neural Rendering 3D Scene Generation Autonomous Driving

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Research Internship

Research Engineer Intern

Dassault Systèmes

Deep learning for exact and structured 3D modelling

  • Studied neural-network approaches for CAD models.
  • Preprocessed structured datasets containing exact geometric representations.
  • Designed a learning architecture for generating exact 3D geometries.
Deep Learning 3D CAD Generative Modelling Exact Geometry

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Research Internship

Computer Vision Research Intern

Udini / DeepSmile Lab

Graph neural networks for analysing intra-oral 3D scans

  • Investigated graph neural network models for processing dental geometry.
  • Worked with intra-oral 3D scans and graph-based geometric representations.
  • Explored computer-vision methods for analysing structured medical 3D data.
Computer Vision Graph Neural Networks 3D Scans Geometric Deep Learning