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RUST: Latent Neural Scene Representations from Unposed Imagery

Research article (2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023) · cited 14× · AI/ML
academia openalex:W4386065597
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RUST: Latent Neural Scene Representations from Unposed Imagery

Summary

RUST: Latent Neural Scene Representations from Unposed Imagery is a scholarly article[1].

Key Facts

  • RUST: Latent Neural Scene Representations from Unposed Imagery's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). RUST: Latent Neural Scene Representations from Unposed Imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/rust-latent-neural-scene-representations-from-unposed-imagery
MLA “RUST: Latent Neural Scene Representations from Unposed Imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rust-latent-neural-scene-representations-from-unposed-imagery.
BibTeX @misc{4ortxyz_rust-latent-neural-scene-representations-from-unposed-imagery_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RUST: Latent Neural Scene Representations from Unposed Imagery}}, year = {2026}, url = {https://4ort.xyz/entity/rust-latent-neural-scene-representations-from-unposed-imagery}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RUST: Latent Neural Scene Representations from Unposed Imagery — https://4ort.xyz/entity/rust-latent-neural-scene-representations-from-unposed-imagery (retrieved 2026-05-24)

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