Search Results for author: Julian Tachella

Found 4 papers, 2 papers with code

Equivariant plug-and-play image reconstruction

no code implementations4 Dec 2023 Matthieu Terris, Thomas Moreau, Nelly Pustelnik, Julian Tachella

Plug-and-play algorithms constitute a popular framework for solving inverse imaging problems that rely on the implicit definition of an image prior via a denoiser.

Denoising Image Reconstruction

Spline Sketches: An Efficient Approach for Photon Counting Lidar

1 code implementation13 Oct 2022 Michael Patrick Sheehan, Julian Tachella, Mike E. Davies

Photon counting lidar has become an invaluable tool for 3D depth imaging due to the fine-precision it can achieve over long ranges.

Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences

no code implementations20 Apr 2020 Quentin Legros, Julian Tachella, Rachael Tobin, Aongus McCarthy, Sylvain Meignen, Gerald S. Buller, Yoann Altmann, Stephen McLaughlin, Michael E. Davies

In this work, we consider a new similarity measure for robust depth estimation, which allows us to use a simple observation model and a non-iterative estimation procedure while being robust to mis-specification of the background illumination model.

3D Reconstruction Depth Estimation

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