VIS Full Papers: That's way too big!
Presentations in this session
15:00 - 15:12
FeatureZ: A General Framework for Feature-Preserving Compression via Pointwise Bounds and Star Classification
15:12 - 15:24
Preserving Discrete Morse-Smale Complexes in Error-Bounded Lossy Compression
15:24 - 15:36
ECoNGS: Efficient Compressive Neural Gaussian Splats for Volume Visualization
15:36 - 15:48
FZ-VIS: A Visual Analytics Framework for Quantities-of-Interest-Aware Scientific Lossy Compression
15:48 - 16:00
EXaCTz: Guaranteed Extremum Graph and Contour Tree Preservation for Distributed and GPU-Parallel Lossy Compression
16:00 - 16:12
EVOLVE: Efficient Learned Volume Compression with Variable-Rate Encoding on a Cross-Domain Database
16:12 - 16:24