New system InHabit generates large-scale 3D human-scene interaction data

Researchers have developed InHabit, a novel system for generating large-scale, photorealistic 3D datasets of humans interacting with environments. This system leverages image foundation models to propose actions and insert humans into 3D scenes, then refines these insertions into physically plausible SMPL-X bodies. The resulting dataset, InHabitants, comprises 78,000 samples across approximately 800 scenes and has demonstrated improvements in 3D human-scene reconstruction and contact estimation tasks. AI

RANK_REASON The cluster describes a new research paper detailing a novel method for generating synthetic data. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• Habitat-Matterport3D
• Nikita Kister
• SMPL-X

• paper
• product

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