94 citations · 108 across the 9 of their papers we have counts for
4 papers · 1 filter
Integration-free Learning of Flow Maps
Saroj Sahoo, Matthew Berger
We present a method for learning neural representations of flow maps from time-varying vector field data. The flow map is pervasive within the area of flow visualization, as it is…
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…
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…