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
Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency	May 21, 2024	Graph GenerationScene Graph Generation	—Unverified
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions	Feb 23, 2022	Graph GenerationScene Graph Generation	—Unverified
Scene Graph Generation via Conditional Random Fields	Nov 20, 2018	Graph GenerationImage Retrieval	—Unverified
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation	Mar 18, 2025	Conformal PredictionGraph Generation	—Unverified
Constrained Structure Learning for Scene Graph Generation	Jan 27, 2022	Graph GenerationScene Graph Generation	—Unverified
Scene Graph Generation with External Knowledge and Image Reconstruction	Apr 1, 2019	Graph GenerationImage Reconstruction	—Unverified
ALF: Adaptive Label Finetuning for Scene Graph Generation	Dec 29, 2023	Graph GenerationRelation	—Unverified
Contextual Associated Triplet Queries for Panoptic Scene Graph Generation	Jan 1, 2024	Graph GenerationObject	—Unverified
CoPa-SG: Dense Scene Graphs with Parametric and Proto-Relations	Jun 26, 2025	Graph GenerationRelation	—Unverified
FloCoDe: Unbiased Dynamic Scene Graph Generation with Temporal Consistency and Correlation Debiasing	Oct 24, 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