MILO framework uses Large Reconstruction Models for 3D human-object interaction

Researchers have introduced MILO, a new framework that utilizes Large Reconstruction Models (LRMs) to reconstruct detailed 3D human-object interactions from single images. This approach leverages the geometric scaffolding provided by LRMs to preserve relative arrangements and proximity cues, simplifying the reconstruction process. MILO segments the LRM mesh into human and object components, fits a parametric body model to the human part, and optionally aligns an object template. The framework demonstrates strong reconstruction accuracy and outperforms existing benchmarks across various interaction scenarios. AI

IMPACT Enhances 3D reconstruction capabilities for applications in AR/VR, robotics, and embodied AI by leveraging large reconstruction models.

RANK_REASON Research paper detailing a new framework for 3D reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]

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• Agniv Chatterjee
• alphaXiv
• arXiv
• CatalyzeX
• DagsHub
• Gotit.pub
• Hugging Face
• Large Reconstruction Models
• LRMs
• MILO
• ScienceCast

• paper
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