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Reconstructing Humans and Objects in Interaction using Large Reconstruction Models
Estimation of Human-Object Interactions in 3D (3D HOI) is a fundamental problem in 3D computer vision with applications in AR/VR, robotics, and embodied AI. However, reconstructing these interactions in 3D remains challenging due to depth ambiguities, occlusions, and object shape variability. Existing approaches are primarily concerned with reprojection and contact constraints, fitting parametric human models and object templates to 2D images. In this paper, we explore a different avenue. We present MILO, a framework that leverages the visual capabilities of Large Reconstruction Models (LRMs)
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T17:35:46.000Z
First collected: 2026-09-21T08:32:02.028Z. This is not the publication date.