Datasets › Replica
Replica
The Replica Dataset is a dataset of high quality reconstructions of a variety of indoor spaces. Each reconstruction has clean dense geometry, high resolution and high dynamic range textures, glass and mirror surface information, planar segmentation as well as semantic class and instance segmentation.
Source: The Replica Dataset: A Digital Replica of Indoor Spaces
Benchmarks archive 2025-07-28
All 4 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| 3D Open-Vocabulary Instance Segmentation | Replica | Open-YOLO 3D mAP 23.7 | Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary... | aminebdj/openyolo3d | 7 | Compare |
| Semantic Segmentation | Replica | LabelMaker mIoU 42.1 | LABELMAKER: Automatic Semantic Label Generation from... | cvg/labelmaker | 5 | Compare |
| Image Generation | Replica | GAUDI FID 18.75 | GAUDI: A Neural Architect for Immersive 3D Scene Generation | apple/ml-gaudi | 4 | Compare |
| Scene Generation | Replica | GSN FID 41.75 | Unconstrained Scene Generation with Locally Conditioned... | apple/ml-gsn | 3 | Compare |
Papers archive 2025-07-28
15 shown of 15 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 414. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- Replica
1 variant name, as the archive lists them.
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