FloorSAV: Elucidating Spatial Audio-Visual Context with 2D Floormap for AV-LLMs

arXiv:2610.11310 · cs.CV, cs.LG · Submitted 2026-10-08 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-10-08

Updated: 2026-10-08

Project page: https://byulharang.github.io/FloorSAV

Terminology

• Grounding — 42× in this paper · explained in 3 episodes
• Benchmark — 29× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 11× in this paper
• Accuracy — 10× in this paper · explained in 1 episode
• Ablation — 7× in this paper · explained in 1 episode
• Foundation Model — 7× in this paper · explained in 3 episodes
• Ablation study — 5× in this paper · explained in 1 episode
• Foundation Models — 5× in this paper · explained in 7 episodes
• International Conference on Computer Vision — 5× in this paper
• Point Clouds — 5× in this paper · explained in 2 episodes
• Visual Grounding — 5× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Benchmarking — 3× in this paper · explained in 3 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Core — 3× in this paper · explained in 2 episodes
• Training-Free Framework — 3× in this paper · explained in 2 episodes
• Agent Interactions — 2× in this paper · explained in 1 episode
• Fidelity — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• IEEE International Conference on Robotics and Automation — 2× in this paper
• International Conference on Machine Learning — 2× in this paper
• Multimodal Reasoning — 2× in this paper · explained in 5 episodes
• 3D Gaussian Splatting — 1× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Chain-of-Thought (CoT) Reasoning — 1× in this paper · explained in 2 episodes
• Cognitive Load — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Embodied AI — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Gaussian Splatting — 1× in this paper · explained in 4 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Sim-to-Real Gap — 1× in this paper · explained in 6 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Using the Aria Everyday Activities — 1× in this paper
• Zero-Shot Transfer — 1× in this paper · explained in 4 episodes

Sources

• ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth
• OWL: Geometry-Aware Spatial Reasoning for Audio Large Language Models
• FloorPlan-VLN: A New Paradigm for Floor Plan Guided Vision-Language Navigation
• Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic
• VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
• Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• PhaseCoder: Microphone Geometry-Agnostic Spatial Audio Understanding for Multimodal LLMs
• ConceptFusion: Open-set Multimodal 3D Mapping
• JAEGER: Joint 3D Audio-Visual Grounding and Reasoning in Simulated Physical Environments
• Aria Everyday Activities Dataset
• EgoAVU: Egocentric Audio-Visual Understanding
• Spatial Audio Motion Understanding and Reasoning
• EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models
• N3D-VLM: Native 3D Grounding Enables Accurate Spatial Reasoning in Vision-Language Models
• Qwen3-Omni Technical Report
• OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM
• The World is Not Mono: Enabling Spatial Understanding in Large Audio-Language Models
• Multimodal Spatial Reasoning in the Large Model Era: A Survey and Benchmarks
• EgoSound: Benchmarking Sound Understanding in Egocentric Videos

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