A central topic in scientific visualization is the transfer function (TF) for volume rendering.
The TF serves a fundamental role in translating scalar and multivariate data into color and …

This survey gives an overview of the current state of the art in GPU techniques for interactive
large‐scale volume visualization. Modern techniques in this field have brought about a sea …

We present the VIS30K dataset, a collection of 29,689 images that represents 30 years of
figures and tables from each track of the IEEE Visualization conference series (Vis, SciVis …

The size of large-scale scientific datasets created from simulations and computed on
modern supercomputers continues to grow at a fast pace. A daunting challenge is to analyze …

We propose a data reduction technique for scattered data based on statistical sampling. Our
void-and-cluster sampling technique finds a representative subset that is optimally …

Volumetric micro-appearance models have provided remarkably high-quality renderings,
but are highly data intensive and usually require tens of gigabytes in storage. When an …

Abstract 3D volume rendering is widely used to reveal insightful intrinsic patterns of
volumetric datasets across many domains. However, the complex structures and varying …

Analyzing scientific datasets created from simulations on modern supercomputers is a
daunting challenge due to the fast pace at which these datasets continue to grow. Low cost …

Volume visualization plays a significant role in revealing important intrinsic patterns of 3D
scientific datasets. However, these datasets are often large, making it challenging for …

Cosmologists build simulations for the evolution of the universe using different initial
parameters. By exploring the datasets from different simulation runs, cosmologists can …