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Nathan Debardeleben

1 paper indexed

arxivcs.LG2026-07-01

Efficient Compression of Structured and Unstructured Volumes via Learned 3D Gaussian Representation

Landon Dyken, Sharmistha Chakrabarti, Nathan Debardeleben, Steve Petruzza, Qi Wu, Will Usher, et al.

Recent work has shown that implicit neural representations (INRs) can be trained to effectively compress structured and unstructured volume data, allowing for direct data querying with a reduced memory footprint. However, as existing INRs for unstructured volumes do not encode ge…

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