articleJun 1, 2023Closed access

Objaverse: A Universe of Annotated 3D Objects

Allen Institute · Seattle University · +1 more institution

Indexed incrossref

Abstract

Massive data corpora like WebText, Wikipedia, Conceptual Captions, WebImageText, and LAION have propelled recent dramatic progress in AI. Large neural models trained on such datasets produce impressive results and top many of today's benchmarks. A notable omisslion within this family of large-scale datasets is 3D data. Despite considerable interest and potential applications in 3D vision, datasets of high-fidelity 3D models continue to be mid-sized with limited diversity of object categories. Addressing this gap, we present Objaverse 1.0, a large dataset of objects with 800K + (and growing) 3D models with descriptive captions, tags, and animations. Objaverse improves upon present day 3D repositories in terms…

Citation impact

568
total citations
FWCI
64.40
Percentile
100%
References
114
Citations per year

Authors

10

Topics & keywords

Keywords
  • Computer science
  • Robustness (evolution)
  • Artificial intelligence
  • Field (mathematics)
  • Vocabulary
  • Bridging (networking)
  • Benchmark (surveying)
  • Fidelity
UN Sustainable Development Goals
  • Quality Education
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