Panoptic Scene Graph Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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.

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

1 dataset 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

14 shown of 14 papers with code (21 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.

• Neural Motifs: Scene Graph Parsing with Global Context
  17 Nov 2017 7 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  We then introduce Stacked Motif Networks, a new architecture designed to capture higher order motifs in scene graphs that further improves over our strong baseline by an average 7.
• Learning to Compose Dynamic Tree Structures for Visual Contexts
  5 Dec 2018 6 repositories listed Syntology ran 4 of 14 samples · 10 unverified
  We propose to compose dynamic tree structures that place the objects in an image into a visual context, helping visual reasoning tasks such as scene graph generation and visual Q&A.
• Scene Graph Generation by Iterative Message Passing
  10 Jan 2017 5 repositories listed Syntology ran 3 of 5 samples · 2 unverified · 3 pointer-only (licence)
  In this work, we explicitly model the objects and their relationships using scene graphs, a visually-grounded graphical structure of an image.
• 4D Panoptic Scene Graph Generation
  16 May 2024 3 repositories listed Syntology ran 13 of 14 samples · 1 unverified · 10 pointer-only (licence)
  To facilitate research in this new area, we build a richly annotated PSG-4D dataset consisting of 3K RGB-D videos with a total of 1M frames, each of which is labeled with 4D panoptic segmentation masks as well as…
• Panoptic Video Scene Graph Generation
  28 Nov 2023 3 repositories listed Syntology ran 11 of 11 samples · 0 unverified · 3 pointer-only (licence)
  PVSG relates to the existing video scene graph generation (VidSGG) problem, which focuses on temporal interactions between humans and objects grounded with bounding boxes in videos.
• Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation
  11 Dec 2024 1 repository listed
  However, little attention has been paid to demonstrating an FL benchmark that handles complicated semantics, where each sample encompasses diverse semantic information from multiple labels, such as Panoptic Scene Graph…
• OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models
  15 Jul 2024 1 repository listed
  In this paper, we focus on the task of open-set relation prediction integrated with a pretrained open-set panoptic segmentation model to achieve true open-set panoptic scene graph generation (OpenPSG).
• A Fair Ranking and New Model for Panoptic Scene Graph Generation
  12 Jul 2024 1 repository listed
  The observed scores for existing methods increase by up to 7.
• DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation
  21 Mar 2024 1 repository listed
  Scene graph generation aims to capture detailed spatial and semantic relationships between objects in an image, which is challenging due to incomplete labelling, long-tailed relationship categories, and relational…
• VLPrompt: Vision-Language Prompting for Panoptic Scene Graph Generation
  27 Nov 2023 1 repository listed
  Leveraging the recent progress in Large Language Models (LLMs), we propose to use language information to assist relation prediction, particularly for rare relations.
• Panoptic Scene Graph Generation with Semantics-Prototype Learning
  28 Jul 2023 1 repository listed
  To promise consistency and accuracy during the transfer process, we propose to measure the invariance of representations in each predicate class, and learn unbiased prototypes of predicates with different intensities.
• Pair then Relation: Pair-Net for Panoptic Scene Graph Generation
  17 Jul 2023 1 repository listed
  Panoptic Scene Graph (PSG) is a challenging task in Scene Graph Generation (SGG) that aims to create a more comprehensive scene graph representation using panoptic segmentation instead of boxes.
• HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation
  28 Mar 2023 1 repository listed
  Existing unbiased methods tackle the long-tail problem by data/loss rebalancing to favor low-frequency relations.
• Panoptic Scene Graph Generation
  22 Jul 2022 1 repository listed
  Existing research addresses scene graph generation (SGG) -- a critical technology for scene understanding in images -- from a detection perspective, i.

Syntology lines on 5 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.