2 papers
eess.IV2023
FFEINR: Flow Feature-Enhanced Implicit Neural Representation for Spatio-temporal Super-Resolution
Chenyue Jiao, Chongke Bi, Lu Yang
Large-scale numerical simulations are capable of generating data up to terabytes or even petabytes. As a promising method of data reduction, super-resolution (SR) has been widely s…
cs.GR2023
Information Entropy-based Camera Path Estimation for In-Situ Visualization
Ken Iwata, Naohisa Sakamoto, Jorji Nonaka +1
In-situ processing has widely been recognized as an effective approach for the visualization and analysis of large-scale simulation outputs from modern HPC systems. One of the most…