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Andréas Meuleman

3 accepted papers

2023

Polarimetric iToF: Measuring High-Fidelity Depth Through Scattering Media

CVPR 2023highlight

Indirect time-of-flight (iToF) imaging allows us to capture dense depth information at a low cost. However, iToF imaging often suffers from multipath interference (MPI) artifacts in the presence of scattering media, resulting in severe depth-accuracy degradation. For instance, iToF cameras cannot me…

Cited by 8Source ↗PDF ↗Scholar ↗
2023

Progressively Optimized Local Radiance Fields for Robust View Synthesis

CVPR 2023poster

We present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges. First, most existing radiance field reconstruction approaches rely on accurate pre-estimated camera poses from Structure-from-Motion algorit…

Cited by 106Source ↗PDF ↗Scholar ↗
2023

Robust Dynamic Radiance Fields

CVPR 2023poster

Dynamic radiance field reconstruction methods aim to model the time-varying structure and appearance of a dynamic scene. Existing methods, however, assume that accurate camera poses can be reliably estimated by Structure from Motion (SfM) algorithms. These methods, thus, are unreliable as SfM algori…