Datasets › Interiorverse

Interiorverse

Introduced by Jingsen Zhu et al. in Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracing6 Nov 2022 archive 2025-07-28

Interiorverse is a high-quality indoor scene dataset with rich details, including complex furniture and decorations and it is rendered with GGX BRDF model, which has stronger material modeling capability than any BRDF models.

Source: Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracing

Image Source: https://arxiv.org/pdf/2211.03017v1.pdf

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 7 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Interiorverse

1 variant name, as the archive lists them.

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