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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 8SourcePDFScholar
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 106SourcePDFScholar
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…