Current compression schemes for floating-point data commonly take fixed-precision values
and compress them to a variable-length bit stream, complicating memory management and …

We present an approach for compressing volumetric scalar fields using implicit neural
representations. Our approach represents a scalar field as a learned function, wherein a …

This paper presents a real-time rendering pipeline for implicit surfaces defined by a regular
volumetric grid of samples. We use a ray-casting approach on current graphics hardware to …

Real-time rendering of large unstructured meshes is a major research goal in the scientific
visualization community. While, for regular grids, texture-based techniques are well-suited …

Despite the potential of neural scene representations to effectively compress 3D scalar fields
at high reconstruction quality, the computational complexity of the training and data …

A software tool is presented for interactive segmentation of volumetric medical data sets. To
allow interactive processing of large data sets, segmentation operations, and rendering are …

Volume raycasting techniques are important for both visual arts and visualization. They
allow an efficient generation of visual effects and the visualization of scientific data obtained …

This article presents Glift, an abstraction and generic template library for defining complex,
random-access graphics processor (GPU) data structures. Like modern CPU data structure …