Browse State-of-the-Art › 3D Semantic Scene Completion from a single RGB image
3D Semantic Scene Completion from a single RGB image
11 papers with code · 3 benchmarks · 4 datasets archive 2025-07-28
This task relies on a single RGB image to infer the dense 3D voxelized semantic scene.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| SemanticKITTI (9 rows) | CGFormer | Context and Geometry Aware Voxel Transformer for Semantic Scene Completion | code | Syntology ran 1 of 1 samples · 0 unverified | Compare |
| NYUv2 (6 rows) | ISO | Monocular Occupancy Prediction for Scalable Indoor Scenes | code | Syntology ran 4 of 9 samples · 5 unverified | Compare |
| KITTI-360 (4 rows) | CGFormer | Context and Geometry Aware Voxel Transformer for Semantic Scene Completion | code | Syntology ran 1 of 1 samples · 0 unverified | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
4 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
11 shown of 11 papers with code (11 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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24 Aug 2020 3 repositories listedWe introduce a new approach for multiscale 3Dsemantic scene completion from voxelized sparse 3D LiDAR scans.
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1 Dec 2021 2 repositories listed Syntology ran 3 of 6 samples · 3 unverifiedMonoScene proposes a 3D Semantic Scene Completion (SSC) framework, where the dense geometry and semantics of a scene are inferred from a single monocular RGB image.
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7 Dec 2020 2 repositories listedIn practice, an initial semantic segmentation (SS) of a single sweep point cloud can be achieved by any appealing network and then flows into the semantic scene completion (SSC) module as the input.
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31 Mar 2020 2 repositories listed Syntology ran 1 of 3 samples · 2 unverifiedTo this end, we first propose a novel 3D sketch-aware feature embedding to explicitly encode geometric information effectively and efficiently.
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16 Jul 2024 1 repository listed Syntology ran 4 of 9 samples · 5 unverifiedWith a dataset size 40 times larger than the NYUv2 dataset, it facilitates future scalable research in indoor scene analysis.
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22 May 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedIn this paper, we present a novel context and geometry aware voxel transformer.
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26 Sep 2023 1 repository listed Syntology ran 5 of 7 samples · 2 unverified · 7 pointer-only (licence)Monocular 3D Semantic Scene Completion (SSC) has garnered significant attention in recent years due to its potential to predict complex semantics and geometry shapes from a single image, requiring no 3D inputs.
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27 Jun 2023 1 repository listed Syntology ran 1 of 8 samples · 7 unverified`3D Semantic Scene Completion (SSC) has emerged as a nascent and pivotal undertaking in autonomous driving, aiming to predict voxel occupancy within volumetric scenes.
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11 Apr 2023 1 repository listed Syntology ran 1 of 3 samples · 2 unverifiedThe vision-based perception for autonomous driving has undergone a transformation from the bird-eye-view (BEV) representations to the 3D semantic occupancy.
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23 Feb 2023 1 repository listedTo enable such capability in AI systems, we propose VoxFormer, a Transformer-based semantic scene completion framework that can output complete 3D volumetric semantics from only 2D images.
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5 Apr 2020 1 repository listedIn contrast to the standard 3D convolution that is limited to a fixed 3D receptive field, our module is capable of modeling the dimensional anisotropy voxel-wisely.
Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections