Browse State-of-the-Art › 3D Panoptic Segmentation
3D Panoptic Segmentation
10 papers with code · 0 benchmarks · 3 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
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
3 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.
Most implemented papers archive 2025-07-28
10 shown of 10 papers with code (15 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 Sep 2023 4 repositories listed Syntology ran 0 of 12 samples · 12 unverifiedAs the application scenarios of mobile robots are getting more complex and challenging, scene understanding becomes increasingly crucial.
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25 May 2025 1 repository listedLiDAR-based 3D panoptic segmentation often struggles with the inherent sparsity of data from LiDAR sensors, which makes it challenging to accurately recognize distant or small objects.
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17 Mar 2025 1 repository listedIn this paper, we introduce a novel approach to address the problem of hierarchical panoptic segmentation of apple orchards on 3D data from different sensors.
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14 Oct 2024 1 repository listed Syntology ran 14 of 17 samples · 3 unverified · 9 pointer-only (licence)Panoptic lifting is an effective technique to address the 3D panoptic segmentation task by unprojecting 2D panoptic segmentations from multi-views to 3D scene.
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12 Jan 2024 1 repository listedWe introduce a highly efficient method for panoptic segmentation of large 3D point clouds by redefining this task as a scalable graph clustering problem.
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18 Sep 2023 1 repository listedPanoptic segmentation of 3D LiDAR scans allows us to semantically describe a vehicle’s environment by predicting semantic classes for each 3D point and to identify individual instances through different instance IDs.
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3 Aug 2023 1 repository listed Syntology ran 9 of 11 samples · 2 unverified3D panoptic segmentation is a challenging perception task that requires both semantic segmentation and instance segmentation.
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16 Jun 2023 1 repository listedIn this work, we address this limitation by studying camera-based 3D panoptic segmentation, aiming to achieve a unified occupancy representation for camera-only 3D scene understanding.
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1 Jun 2023 1 repository listed Syntology ran 0 of 4 samples · 4 unverifiedThe 3D voxels are then refined and grouped into 3D instances according to the predicted 2D instance centers.
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23 May 2023 1 repository listedThe Segment Anything Model (SAM) has demonstrated its effectiveness in segmenting any part of 2D RGB images.
Syntology lines on 4 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.
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