212 citations · 341 across the 17 of their papers we have counts for
6 papers · 1 filter
A Query-Efficient Stochastic Volume Rendering Framework for Time-Varying Implicit Neural Volumes
Alper Sahistan, Haichao Miao, Zhimin Li +3
Time-varying implicit neural representations (INRs) provide a compact representation of scientific volumes and, for modalities such as dynamic X-ray computed tomography (CT), are o…
Particle Merging-and-Splitting
Nghia Truong, Cem Yuksel, Chakrit Watcharopas +2
Robustly handling collisions between individual particles in a large particle-based simulation has been a challenging problem. We introduce particle merging-and-splitting, a simple…
Visualization of Unsteady Flow Using Heat Kernel Signatures
Kairong Jiang, Matthew Berger, Joshua A. Levine
We introduce a new technique to visualize complex flowing phenomena by using concepts from shape analysis. Our approach uses techniques that examine the intrinsic geometry of manif…
The Topology ToolKit
Julien Tierny, Guillaume Favelier, Joshua A. Levine +2
This system paper presents the Topology ToolKit (TTK), a software platform designed for topological data analysis in scientific visualization. TTK provides a unified, generic, effi…
A Generative Model for Volume Rendering
Matthew Berger, Jixian Li, Joshua A. Levine
We present a technique to synthesize and analyze volume-rendered images using generative models. We use the Generative Adversarial Network (GAN) framework to compute a model from a…
Visualizing Time-Varying Particle Flows with Diffusion Geometry
Matthew Berger, Joshua A. Levine
The tasks of identifying separation structures and clusters in flow data are fundamental to flow visualization. Significant work has been devoted to these tasks in flow represented…