Researchers have introduced InternScenes, a large-scale dataset designed to advance Embodied AI research. This dataset features approximately 40,000 diverse indoor scenes, integrating real-world scans, procedural generation, and designer-created environments. InternScenes aims to overcome limitations of existing datasets by including a vast number of small items and realistic, complex layouts with an average of 41.5 objects per region, while also ensuring simulatability and interactivity. The dataset's utility is demonstrated through benchmarks in scene layout generation and point-goal navigation, with plans to open-source the data, models, and benchmarks. AI
影响 Provides a large-scale, realistic dataset to improve training for Embodied AI tasks like navigation and scene generation.
排序理由 This is a research paper introducing a new dataset for Embodied AI.
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