معرفی
Robin Bruneau is a Postdoctoral Researcher at the University of Zurich (UZH) in the Department of Quantitative Medicine. His research focuses on advancing multi-view 3D reconstruction techniques, particularly integrating normal and reflectance cues. He holds a PhD co-supervised between DIKU (University of Copenhagen) and IRIT (University of Toulouse), completed in 2024, and a Master's degree in Computer Science from Enseeiht (2017–2020). His work emphasizes high-fidelity surface reconstruction under challenging conditions, such as complex materials and refractive interfaces. Key applications include archaeological object digitization and transparent material modeling.
Bruneau's research has been supported by grants from the Department of Quantitative Biomedicine at UZH, the French National Research Agency (ANR) via the ALICIA-Vision project, and DIKU's Copenhagen Data+ initiative. Collaborations include partnerships with institutions like the Musée Saint-Raymond (Toulouse) for archaeological data acquisition and OR-X (Switzerland) for translational surgery applications.
His publications span top venues in computer vision, including CVPR and SPIE, with a focus on benchmarking datasets like DiLiGenT-MV and Skoltech3D. Notable contributions include the RNb-NeuS framework, which achieves state-of-the-art performance in multi-view photometric stereo.
