3d scene graph generation

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

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

8 shown of 8 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.

• SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences
  27 Mar 2021 2 repositories listed
  Scene graphs are a compact and explicit representation successfully used in a variety of 2D scene understanding tasks.
• Visual Graphs from Motion (VGfM): Scene understanding with object geometry reasoning
  16 Jul 2018 2 repositories listed
  Recent approaches on visual scene understanding attempt to build a scene graph -- a computational representation of objects and their pairwise relationships.
• RelationField: Relate Anything in Radiance Fields
  18 Dec 2024 1 repository listed
  Neural radiance fields are an emerging 3D scene representation and recently even been extended to learn features for scene understanding by distilling open-vocabulary features from vision-language models.
• Weakly-Supervised 3D Scene Graph Generation via Visual-Linguistic Assisted Pseudo-labeling
  3 Apr 2024 1 repository listed
  However, previous 3D scene graph generation methods utilize a fully supervised learning manner and require a large amount of entity-level annotation data of objects and relations, which is extremely resource-consuming…
• Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships
  19 Feb 2024 1 repository listed Syntology ran 10 of 12 samples · 2 unverified · 12 pointer-only (licence)
  We co-embed the features from a 3D scene graph prediction backbone with the feature space of powerful open world 2D vision language foundation models.
• VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
  25 Mar 2023 1 repository listed
  Since 2D images provide rich semantics and scene graphs are in nature coped with languages, in this study, we propose Visual-Linguistic Semantics Assisted Training (VL-SAT) scheme that can significantly empower 3DSSG…
• SGFormer: Semantic Graph Transformer for Point Cloud-based 3D Scene Graph Generation
  20 Mar 2023 1 repository listed
  In this paper, we propose a novel model called SGFormer, Semantic Graph TransFormer for point cloud-based 3D scene graph generation.
• Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis
  9 Mar 2021 1 repository listed
  Scene understanding is a critical problem in computer vision.

Syntology lines on 1 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.