3D meshes are commonly used to represent virtual surface and volumes. However, their raw
data representations take a large amount of space. Hence, 3D mesh compression has been …

This article reviews state-of-the-art adaptive, multiresolution wavelet methodologies for
modeling and simulation of turbulent flows with various examples. Different numerical …

Many processing operations are nowadays applied on 3D meshes like compression,
watermarking, remeshing and so forth; these processes are mostly driven and/or evaluated …

We introduce NeuralVDB, which improves on an existing industry standard for efficient
storage of sparse volumetric data, denoted VDB [Museth], by leveraging recent …

We extend Lounsbery's multiresolution analysis wavelet-based theory for triangular 3D
meshes, which can only be applied to regularly subdivided meshes and thus involves a …

Accurate estimation of location and extent of neuronal sources from EEG/MEG remain
challenging. In the present study, a new source imaging method, ie variation and wavelet …

A dynamic adaptive numerical method for solving partial differential equations on the sphere
is developed. The method is based on second generation spherical wavelets on almost …

This paper presents a new algorithm for the progressive compression of manifold polygon
meshes. The input surface is decimated by several traversals that generate successive …

We introduce a realtime compression architecture for 4D performance capture that is two
orders of magnitude faster than current state-of-the-art techniques, yet achieves comparable …

We propose a new lossless progressive compression algorithm based on rate-distortion
optimization for meshes with color attributes; the quantization precision of both the geometry …