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fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence

Research article (ACM Transactions on Graphics, 2024) · cited 17× · AI/ML
CreativeWork academia

Facts

4 properties
Instance of
scholarly article[2]
Publication date
July 19, 2024as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Published in
ACM Transactions on Graphicsas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligenceas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W4400377661as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.1145/3658226as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 10
Clement Fuji Tsang, Eftychios Sifakis, FRANCIS H. WILLIAMS, Gergely Klár, Jiahui Huang, Jonathan Swartz, Matthew Cong, Ruilong Li +2 more
← Author of 10
Clement Fuji Tsang, Eftychios Sifakis, FRANCIS H. WILLIAMS, Gergely Klár, Jiahui Huang, Jonathan Swartz, Matthew Cong, Ruilong Li +2 more
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Summary

fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence is a scholarly article[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence. Retrieved October 20, 2026, from https://4ort.xyz/entity/fvdb-a-deep-learning-framework-for-sparse-large-scale-and-high-performance-spatial-intelligence
MLA “fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/fvdb-a-deep-learning-framework-for-sparse-large-scale-and-high-performance-spatial-intelligence.
BibTeX @misc{4ortxyz_fvdb-a-deep-learning-framework-for-sparse-large-scale-and-high-performance-spatial-intelligence_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence}}, year = {2026}, url = {https://4ort.xyz/entity/fvdb-a-deep-learning-framework-for-sparse-large-scale-and-high-performance-spatial-intelligence}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): fVDB : A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence — https://4ort.xyz/entity/fvdb-a-deep-learning-framework-for-sparse-large-scale-and-high-performance-spatial-intelligence (retrieved 2026-10-20)

Canonical URL: https://4ort.xyz/entity/fvdb-a-deep-learning-framework-for-sparse-large-scale-and-high-performance-spatial-intelligence · Last refreshed: