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 161–170 of 318 papers

Title	Date	Tasks	Status
Joint Generative Modeling of Scene Graphs and Images via Diffusion Models	Jan 2, 2024	Graph GenerationImage Generation	—Unverified
Joint Modeling of Visual Objects and Relations for Scene Graph Generation	Dec 1, 2021	Graph EmbeddingGraph Generation	—Unverified
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation	Jul 11, 2022	Fine-Grained Image ClassificationGraph Generation	—Unverified
Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation	Aug 7, 2022	Graph GenerationKnowledge Distillation	—Unverified
SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning	Jul 8, 2025	DenoisingGraph Generation	—Unverified
Learning 4D Panoptic Scene Graph Generation from Rich 2D Visual Scene	Jan 1, 2025	Graph GenerationLarge Language Model	—Unverified
Unconditional Scene Graph Generation	Aug 12, 2021	Anomaly DetectionGraph Generation	—Unverified
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation	Jun 13, 2020	Graph GenerationObject	—Unverified
Learning of Visual Relations: The Devil is in the Tails	Aug 22, 2021	Graph GenerationScene Graph Generation	—Unverified
Understanding the Role of Scene Graphs in Visual Question Answering	Jan 14, 2021	Graph GenerationQuestion Answering	—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