Papers Scene Parsing
“Scene Parsing” 태그가 달린 논문 216편 · 필터 해제
Engine-Native Editable 3D World Reconstruction with Objects and Lighting
Editable 3D scene creation requires object instances and lights that can be inspected, moved, and imported into standard engines, yet existing single-image methods largely stop at room-scale geometry, baked/global illumi…
Scene ParsingR2RDreamer: 3D-aware Data Augmentation for Spatially-generalized 2D Manipulation Policies
Spatial generalization is critical for imitation-learned manipulation policies, but achieving it typically requires scaling demonstrations across diverse object poses, robot configurations, and camera viewpoints. Data au…
Data AugmentationScene ParsingPhysScene: A Scene Graph Dataset for Scientific Visual Reasoning in Physics Experiments
Scene Graphs (SGs) provide structured representations of visual scenes by modeling objects and their pairwise relationships. Despite recent progress, existing datasets primarily focus on generic natural contexts, leaving…
Relational ReasoningVisual ReasoningScene ParsingUnsupervised Collaborative Domain Adaptation for Driving Scene Parsing
Reliable driving scene parsing is a fundamental capability for autonomous vehicles operating in open and dynamic driving environments. However, adapting perception models to new deployment domains remains challenging bec…
Unsupervised Domain AdaptationAutonomous VehiclesScene ParsingSWARD: Stochastic Window-Attention-Based Relational Distillation for Cross-Architectural Semantic Segmentation
Large-scale vision foundation models have driven substantial gains on dense prediction tasks such as semantic segmentation, but their size makes deployment impractical in resource-constrained settings, motivating knowled…
Medical Image SegmentationKnowledge DistillationSemantic SegmentationScene ParsingSceneParser: Hierarchical Scene Parsing for Visual Semantics Understanding
General scene perception has progressed from object recognition toward open-vocabulary grounding, part localization, and affordance prediction. Yet these capabilities are often realized as isolated predictions that local…
Scene UnderstandingObject RecognitionScene ParsingT-REN: Learning Text-Aligned Region Tokens Improves Dense Vision-Language Alignment and Scalability
Despite recent progress, vision-language encoders struggle with two core limitations: (1) weak alignment between language and dense vision features, which hurts tasks like open-vocabulary semantic segmentation; and (2) h…
Semantic SegmentationObject LocalizationImage RetrievalScene ParsingUnlocking Positive Transfer in Incrementally Learning Surgical Instruments: A Self-reflection Hierarchical Prompt Framework
To continuously enhance model adaptability in surgical video scene parsing, recent studies incrementally update it to progressively learn to segment an increasing number of surgical instruments over time. However, prior …
Scene ParsingSLARM: Streaming and Language-Aligned Reconstruction Model for Dynamic Scenes
We propose SLARM, a feed-forward model that unifies dynamic scene reconstruction, semantic understanding, and real-time streaming inference. SLARM captures complex, non-uniform motion through higher-order motion modeling…
Dynamic ReconstructionScene ParsingStructured prototype regularization for synthetic-to-real driving scene parsing
Driving scene parsing is critical for autonomous vehicles to operate reliably in complex real-world traffic environments. To reduce the reliance on costly pixel-level annotations, synthetic datasets with automatically ge…
Unsupervised Domain AdaptationAutonomous VehiclesScene ParsingUniGround: Universal 3D Visual Grounding via Training-Free Scene Parsing
Understanding and localizing objects in complex 3D environments from natural language descriptions, known as 3D Visual Grounding (3DVG), is a foundational challenge in embodied AI, with broad implications for robotics, a…
Visual GroundingScene ParsingTwo-Stream Interactive Joint Learning of Scene Parsing and Geometric Vision Tasks
Inspired by the human visual system, which operates on two parallel yet interactive streams for contextual and spatial understanding, this article presents Two Interactive Streams (TwInS), a novel bio-inspired joint lear…
Scene ParsingToward Real-World High-Precision Image Matting and Segmentation
High-precision scene parsing tasks, including image matting and dichotomous segmentation, aim to accurately predict masks with extremely fine details (such as hair). Most existing methods focus on salient, single foregro…
Domain AdaptationScene ParsingImage MattingSparse3DPR: Training-Free 3D Hierarchical Scene Parsing and Task-Adaptive Subgraph Reasoning from Sparse RGB Views
Recently, large language models (LLMs) have been explored widely for 3D scene understanding. Among them, training-free approaches are gaining attention for their flexibility and generalization over training-based methods…
Scene UnderstandingScene ParsingPanoNav: Mapless Zero-Shot Object Navigation with Panoramic Scene Parsing and Dynamic Memory
Zero-shot object navigation (ZSON) in unseen environments remains a challenging problem for household robots, requiring strong perceptual understanding and decision-making capabilities. While recent methods leverage metr…
Spatial ReasoningScene ParsingWeakly and Self-Supervised Class-Agnostic Motion Prediction for Autonomous Driving
Understanding motion in dynamic environments is critical for autonomous driving, thereby motivating research on class-agnostic motion prediction. In this work, we investigate weakly and self-supervised class-agnostic mot…
Self-Supervised LearningAutonomous DrivingScene ParsingPoint CloudsMicrosurgical Instrument Segmentation for Robot-Assisted Surgery
Accurate segmentation of thin structures is critical for microsurgical scene understanding but remains challenging due to resolution loss, low contrast, and class imbalance. We propose Microsurgery Instrument Segmentatio…
Scene UnderstandingScene ParsingA Comprehensive Survey on Video Scene Parsing:Advances, Challenges, and Prospects
Video Scene Parsing (VSP) has emerged as a cornerstone in computer vision, facilitating the simultaneous segmentation, recognition, and tracking of diverse visual entities in dynamic scenes. In this survey, we present a …
BenchmarkingInstance SegmentationOpen-Vocabulary Video SegmentationPanoptic Segmentation+8DepthMatch: Semi-Supervised RGB-D Scene Parsing through Depth-Guided Regularization
RGB-D scene parsing methods effectively capture both semantic and geometric features of the environment, demonstrating great potential under challenging conditions such as extreme weather and low lighting. However, exist…
Scene ParsingSemantic SegmentationMCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation
Diffusion models have shown excellent performance in text-to-image generation. Nevertheless, existing methods often suffer from performance bottlenecks when handling complex prompts that involve multiple objects, charact…
Image GenerationScene GenerationScene ParsingText to Image Generation+1