HM-3D
Emerging22papers using it
2025first seen
HM3D is a dataset that contains a large collection of 3D scenes and corresponding floor plans, used to evaluate floor plan-guided embodied navigation across various navigation tasks.
Papers using HM-3D (22)
- Rate-nav: Region-aware Termination Enhancement For Zero-shot Object Navigation With Vision-language ModelsRvn-bench: A Benchmark For Reactive Visual NavigationStairway To Success: An Online Floor-aware Zero-shot Object-goal Navigation Framework Via Llm-driven Coarse-to-fine ExplorationHistory-augmented Vision-language Models For Frontier-based Zero-shot Object NavigationThink, Remember, Navigate: Zero-shot Object-goal Navigation With Vlm-powered ReasoningMUVLA: Learning To Explore Object Navigation Via Map UnderstandingWMNav: Integrating Vision-Language Models into World Models for Object Goal NavigationStairway to Success: An Online Floor-Aware Zero-Shot Object-Goal Navigation Framework via LLM-Driven Coarse-to-Fine ExplorationSemNav: A Model-Based Planner for Zero-Shot Object Goal Navigation Using Vision-Foundation ModelsHistory-Augmented Vision-Language Models for Frontier-Based Zero-Shot Object NavigationImaginative World Modeling with Scene Graphs for Embodied Agent NavigationThink, Remember, Navigate: Zero-Shot Object-Goal Navigation with VLM-Powered ReasoningFOM-Nav: Frontier-Object Maps for Object Goal NavigationRANGER: A Monocular Zero-Shot Semantic Navigation Framework through Visual Contextual AdaptationRVN-Bench: A Benchmark for Reactive Visual NavigationAERR-Nav: Adaptive Exploration-Recovery-Reminiscing Strategy for Zero-Shot Object NavigationFSUNav: A Cerebrum-Cerebellum Architecture for Fast, Safe, and Universal Zero-Shot Goal-Oriented NavigationFloVerse: Floor Plan-Guided Multi-Modal NavigationSEMNAV: Enhancing Visual Semantic Navigation in Robotics through Semantic SegmentationEmbodiedSplat: Personalized Real-to-Sim-to-Real Navigation with Gaussian Splats from a Mobile DevicePersONAL: Towards a Comprehensive Benchmark for Personalized Embodied AgentsMUVLA: Learning to Explore Object Navigation via Map Understanding