"GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable ..."

Francesco Di Sario et al. (2025)

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DOI: 10.48550/ARXIV.2501.13558

access: open

type: Informal or Other Publication

metadata version: 2025-02-25

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  - journals/corr/abs-2501-13558
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  - https://dblp.org/rec/journals/corr/abs-2501-13558
Francesco Di Sario, Riccardo Renzulli, Marco Grangetto, Akihiro Sugimoto, Enzo Tartaglione:
GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression. CoRR abs/2501.13558 (2025)

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