Scene Graph Generation

A scene graph is a structured representation of an image, where nodes in a scene graph correspond to object bounding boxes with their object categories, and edges correspond to their pairwise relationships between objects. The task of Scene Graph Generation is to generate a visually-grounded scene graph that most accurately correlates with an image.

Source: Scene Graph Generation by Iterative Message Passing

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 251–260 of 318 papers

Title	Date	Tasks	Status
3D Scene Graph Prediction on Point Clouds Using Knowledge Graphs	Aug 13, 2023	Graph GenerationKnowledge Graphs	—Unverified
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation	Jan 1, 2023	Graph GenerationScene Graph Generation	—Unverified
Semantic Scene Graph Generation Based on an Edge Dual Scene Graph and Message Passing Neural Network	Nov 2, 2023	Graph GenerationRelation	—Unverified
Semantic Similarity Score for Measuring Visual Similarity at Semantic Level	Jun 6, 2024	Graph GenerationGraph Matching	—Unverified
From Data to Modeling: Fully Open-vocabulary Scene Graph Generation	May 26, 2025	Graph GenerationKnowledge Distillation	—Unverified
From Easy to Hard: Learning Curricular Shape-aware Features for Robust Panoptic Scene Graph Generation	Jul 12, 2024	Graph GenerationKnowledge Distillation	—Unverified
BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation	Jul 26, 2024	Graph GenerationScene Graph Generation	—Unverified
SGRAM: Improving Scene Graph Parsing via Abstract Meaning Representation	Oct 17, 2022	Abstract Meaning RepresentationDependency Parsing	—Unverified
FunGraph: Functionality Aware 3D Scene Graphs for Language-Prompted Scene Interaction	Mar 10, 2025	3d scene graph generationGraph Generation	—Unverified
SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation	Nov 9, 2022	Graph GenerationScene Graph Generation	—Unverified

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All datasets Visual Genome 4D-OR 3R-Scan VRD GQA MM-OR MS-COCO

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ExpressiveSGG	R@100	39.12	—	Unverified
2	NeuSyRE	R@100	39.1	—	Unverified
3	KnowZRel	zR@100	35.65	—	Unverified
4	SpeaQ (without reweighting)	Recall@50	32.9	—	Unverified
5	SpeaQ (with reweighting)	Recall@50	32.1	—	Unverified
6	Causal-TDE	Recall@50	31.93	—	Unverified
7	SG-EBM	Recall@50	31.74	—	Unverified
8	GPS-Net	Recall@50	28.9	—	Unverified
9	LOGIN	Recall@50	28.2	—	Unverified
10	VCTree	Recall@50	27.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ORacle	F1	0.91	—	Unverified
2	MM2SG	F1	0.9	—	Unverified
3	Pix2SG	F1	0.9	—	Unverified
4	LABRAD-OR	F1	0.88	—	Unverified
5	4D-OR baseline	F1	0.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SceneGraphFusion	Top-5 Accuracy	0.87	—	Unverified
2	3DSSG [Wald2020_3dssg]	Top-5 Accuracy	0.66	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FactorizableNet	Recall@50	18.32	—	Unverified
2	VRD	Recall@50	18.16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	KnowZRel	zR@100	29.56	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MM2SG	Macro F1	0.53	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NeuSyRE	R@100	38.5	—	Unverified