Deep neural networks (DNNs) have shown remarkable performance improvements on
vision-related tasks such as object detection or image segmentation. Despite their success …

The behavior of daylight inside built settings, though complex, is well understood; and over
past years, designers and researchers investigated different tools and methodologies to …

Abstract The Widefield ASKAP L-band Legacy All-sky Blind surveY (wallaby) is a next-
generation survey of neutral hydrogen (H i) in the Local Universe. It uses the widefield, high …

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 …

Distributed parallel rendering provides a valuable way to navigate large-scale scenes.
However, previous works typically focused on outputting ultra-high-resolution images. In this …

Visualization is an essential tool for analysis of data and communication of findings in the
sciences, and the Earth System Sciences (ESS) are no exception. However, within ESS …

We present a technique to synthesize and analyze volume-rendered images using
generative models. We use the Generative Adversarial Network (GAN) framework to …

For a surface-piercing hydrofoil traveling at high speed, a turbulent hydraulic jump may arise
at the intersection of the body with the free surface. This hydrodynamic phenomenon …

We explore a first proof-of-concept example of creatively using the Turing generation's
hardware ray tracing cores to solve a problem other than classical ray tracing, specifically …

Volume data is found in many important scientific and engineering applications. Rendering
this data for visualization at high quality and interactive rates for demanding applications …