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 21–30 of 318 papers

Title	Date	Tasks	Status	Hype
Universal Scene Graph Generation	Mar 19, 2025	Graph GenerationScene Graph Generation	—Unverified	0
DIFFVSGG: Diffusion-Driven Online Video Scene Graph Generation	Mar 18, 2025	DenoisingGPU	CodeCode Available	1
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation	Mar 18, 2025	Conformal PredictionGraph Generation	—Unverified	0
FunGraph: Functionality Aware 3D Scene Graphs for Language-Prompted Scene Interaction	Mar 10, 2025	3d scene graph generationGraph Generation	—Unverified	0
MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments	Mar 4, 2025	2D Panoptic SegmentationGraph Generation	CodeCode Available	2
Unbiased Video Scene Graph Generation via Visual and Semantic Dual Debiasing	Mar 1, 2025	Graph GenerationScene Graph Generation	—Unverified	0
Weakly Supervised Video Scene Graph Generation via Natural Language Supervision	Feb 21, 2025	Graph GenerationImage Captioning	CodeCode Available	1
KnowZRel: Common Sense Knowledge-based Zero-Shot Relationship Retrieval for Generalised Scene Graph Generation	Feb 21, 2025	Common Sense ReasoningGraph Generation	CodeCode Available	0
Leveraging V2X for Collaborative HD Maps Construction Using Scene Graph Generation	Feb 14, 2025	Graph GenerationScene Graph Generation	—Unverified	0
UniQ: Unified Decoder with Task-specific Queries for Efficient Scene Graph Generation	Jan 10, 2025	DecoderGraph Generation	—Unverified	0

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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