Work

High-quality Approximation of Scientific Data using 3D Gaussian Splatting

Year: 2024

Type: conference-paper

Source: IEEE Symposium on Large Data Analysis and Visualization

DOI: 10.1109/ldav64567.2024.00018

Authors: Andres Sewell, Landon Dyken, Victor A. Mateevitsi, Will Usher, Jefferson Amstutz, Thomas Marrinan, Khairi Reda, Silvio Rizzi, Joseph A. lnsley, Michael E. Papka, Sidharth Kumar, Steve Petruzza

Institutions: Utah State University, University of Illinois Chicago, Argonne National Laboratory, Nvidia (United Kingdom), Nvidia (United States), Indiana University Indianapolis

Language: English

Topic: Computer Graphics and Visualization Techniques

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4404847844

FWCI: 0.825

Cites: 6

Cited by: 2

Related to: 10