activity
20222025
collaborators

5 papers

cs.GR2025

GSCache: Real-Time Radiance Caching for Volume Path Tracing using 3D Gaussian Splatting

David Bauer, Qi Wu, Hamid Gadirov +1

Real-time path tracing is rapidly becoming the standard for rendering in entertainment and professional applications. In scientific visualization, volume rendering plays a crucial…

cs.GR2025

Glyph-Based Multiscale Visualization of Turbulent Multi-Physics Statistics

Arisa Cowe, Tyson Neuroth, Qi Wu +4

Many scientific and engineering problems involving multi-physics span a wide range of scales. Understanding the interactions across these scales is essential for fully comprehendin…

cs.GR2025

From Cluster to Desktop: A Cache-Accelerated INR framework for Interactive Visualization of Tera-Scale Data

Daniel Zavorotny, Qi Wu, David Bauer +1

Machine learning has enabled the use of implicit neural representations (INRs) to efficiently compress and reconstruct massive scientific datasets. However, despite advances in fas…

cs.CV2024

HyperFLINT: Hypernetwork-based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization

Hamid Gadirov, Qi Wu, David Bauer +3

We present HyperFLINT (Hypernetwork-based FLow estimation and temporal INTerpolation), a novel deep learning-based approach for estimating flow fields, temporally interpolating sca…

cs.GR2022

FoVolNet: Fast Volume Rendering using Foveated Deep Neural Networks

David Bauer, Qi Wu, Kwan-Liu Ma

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