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 261–270 of 318 papers

Title	Date	Tasks	Status
Generalized Unbiased Scene Graph Generation	Aug 9, 2023	Graph GenerationScene Graph Generation	—Unverified
Generalized Visual Relation Detection with Diffusion Models	Apr 16, 2025	Graph GenerationHuman-Object Interaction Detection	—Unverified
Generating Triples with Adversarial Networks for Scene Graph Construction	Feb 7, 2018	Attributegraph construction	—Unverified
Unbiased Scene Graph Generation via Two-stage Causal Modeling	Jul 11, 2023	Causal InferenceGraph Generation	—Unverified
SGTR: Generating Scene Graph by Learning Compositional Triplets with Transformer	Sep 29, 2021	Graph GenerationScene Graph Generation	—Unverified
Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning	Sep 28, 2020	Graph GenerationScene Graph Generation	—Unverified
GraphMapper: Efficient Visual Navigation by Scene Graph Generation	May 17, 2022	Graph GenerationNavigate	—Unverified
Self-Supervised Real-to-Sim Scene Generation	Nov 30, 2020	Graph GenerationScene Generation	—Unverified
Single-Stage Visual Relationship Learning using Conditional Queries	Jun 9, 2023	DecoderGraph Generation	—Unverified
HAtt-Flow: Hierarchical Attention-Flow Mechanism for Group Activity Scene Graph Generation in Videos	Nov 28, 2023	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