Objaverse: A Universe of Annotated 3D Objects
Allen Institute · Seattle University · +1 more institution
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
- FWCI
- 64.40
- Percentile
- 100%
- References
- 114
Authors
10Topics & keywords
- Computer science
- Robustness (evolution)
- Artificial intelligence
- Field (mathematics)
- Vocabulary
- Bridging (networking)
- Benchmark (surveying)
- Fidelity
- Quality Education