Papers Scene Graph Generation
“Scene Graph Generation” 태그가 달린 논문 365편 · 필터 해제
Sterilizable Scene Graph Generation for Operating Rooms
Scene graph generation from surgical video enables a holistic and structured understanding of surgical scenes by modeling objects and their semantic relationships. Despite recent advances, state-of-the-art approaches rel…
Scene Graph GenerationScene UnderstandingObject DetectionVideo CaptioningPrior-SG: Task and Prior Driven Region Segmentation for Scene Graphs in Arbitrarily-Structured Environments
Hierarchical 3D scene graphs are a promising representation for high-level spatial reasoning in autonomous mobile platforms. However, existing extraction frameworks typically rely on purely local visual clustering or str…
Scene Graph GenerationSpatial ReasoningModeling Scientific Experiment Scenes: Dataset and Model
Scene Graph Generation (SGG) is fundamental to structured visual understanding, yet existing benchmarks focus mainly on daily life images and overlook scientific experiment scenes with specialized instruments, task-speci…
Scene Graph GenerationRelational ReasoningPUF: Plug-and-Play Uncertainty-Aware Fusion for Online 3D Scene Graph Generation
Online 3D scene graph generation builds a persistent, structured representation of a scene by incrementally fusing 2D observations into a global 3D graph. Existing online methods treat this fusion as a fully deterministi…
Scene Graph GenerationScene UnderstandingRevisiting Scene Graph Generation from the Perspective of Detector-Conditioned Reachability
Scene graph generation (SGG) approaches can be broadly classified into detector-based and query-based methods according to their underlying reasoning mechanisms. However, the discrepancy in their predictive behaviors, in…
Scene Graph GenerationNoPA: Non-Parametric Online 3D Scene Graph Generation
Classic 3D scene graph generation approaches fail to work in real-time due to the heavy computational cost of environment mapping and the need to generate intermediate point-cloud representations. To alleviate this issue…
Scene Graph GenerationPoint CloudsDeWorldSG: Depth-Aware 3D Semantic Scene Graph Generation via World-Model Priors
We present DeWorldSG, a novel framework that generates spatio-temporally robust 3D Semantic Scene Graphs from RGB-D sequences. Existing methods often struggle to construct reliable 3D scene graphs due to unstable 3D obje…
Scene Graph GenerationOP3DSG: Open-Vocabulary Part-Aware 3D Scene Graph Generation for Real-World Environments
3D scene graphs (3DSGs) provide a compact and structured abstraction of 3D environments. Although advances in foundation models have enabled open-vocabulary 3DSG generation, existing approaches remain object-centric and …
Scene Graph GenerationRelational ReasoningNot All Relations Rotate Alike: Transformation-Aware Decoupling for Viewpoint-Robust 3D Scene Graph Generation
3D Scene Graph Generation (3DSGG) represents 3D scenes as structured object-relation-object graphs, providing a compact relational abstraction for spatial understanding. In embodied intelligence settings, the same 3D sce…
Scene Graph GenerationModular Diffusion Models for Structured Visual Recognition
Traditional supervised methods for structured visual recognition tasks -- such as object detection, segmentation, and scene graph generation -- often produce deterministic, fixed outputs, limiting their ability to captur…
Scene Graph GenerationInstance SegmentationObject DetectionSGFormer++: Semantic Graph Transformer for Incremental 3D Scene Graph Generation
In this paper, we propose SGFormer++, a novel Semantic Graph Transformer for 3D scene graph generation (SGG), which aims to parse point cloud scenes into semantic structural graphs, where nodes denote detected object ins…
Scene Graph GenerationGraph EmbeddingVisual Commonsense Driven Knowledge Refinements for Scene Graph Generation
Learning-driven Scene Graph Generation (SGG) models excel on frequent relation types but degrade sharply under annotation sparsity, failing to capture reliable visual commonsense knowledge. We propose a model-agnostic, s…
Visual Commonsense ReasoningScene Graph GenerationQPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation
Scene Graph Generation (SGG) requires relational reasoning over objects and their interactions, but performance is often limited by severe long-tail predicate imbalance. Classical SGG models frequently rely on dataset st…
Scene Graph GenerationRelational ReasoningVisual ReasoningSeeing Fast and Slow: Bimodal 3D Scene Graphs for Open-set Tasks
Open-set task execution can significantly benefit from seamlessly switching between coarse and fine scene representations depending on the context and the evolving information as the robot explores the environment. For e…
Scene Graph GenerationLearning Context-Conditioned Predicate Semantics via Prototype Feedback
In scene graph generation, a central challenge is modeling polysemous predicates whose meanings shift across contexts. Prior approaches address this issue by decomposing predicates into multiple static prototypes or retr…
Scene Graph GenerationRelWitness: Open-Vocabulary 3D Scene Graph Generation with Visual-Geometric Relation Witnesses
Open-vocabulary 3D scene graph generation seeks to describe object instances and their relations with flexible natural-language predicates. The central difficulty is not only vocabulary expansion, but supervision reliabi…
Scene Graph GenerationFixed External Cameras as Common Prior Maps for Active 3D Scene Graph Generation
Commonly available prior information, such as BIM models, floor plans, and remote sensing images, can provide valuable geometric and semantic context for autonomous robotic systems. In this paper, we treat observations f…
Scene Graph Generation3D ReconstructionRGB-only Active 3D Scene Graph Generation for Indoor Mobile Robots
Current approaches to 3D scene graph generation rely on dedicated depth sensors, such as LiDAR or RGB-D cameras, for metric 3D reconstruction. This limits deployment to specialized robotic platforms and excludes settings…
Scene Graph Generation3D ReconstructionDependency-Aware Discrete Diffusion for Scene Graph Generation
Scene graphs (SGs) represent objects and their relationships as structured graphs, enabling applications in image generation, robotics, and 3D understanding. Recent work suggests that conditioning image generation on sce…
Scene Graph GenerationImage GenerationResponse-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding
Proactive streaming video understanding requires Video-LLMs to decide when to respond as a video unfolds, a task where existing methods often fall short due to their implicit, query-agnostic modeling of visual evidence. …
Scene Graph Generation