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Jeonghyeon Na

2 accepted papers

2025

Learning to Generate Human-Human-Object Interactions from Textual Descriptions

NeurIPS 2025poster

The way humans interact with each other, including interpersonal distances, spatial configuration, and motion, varies significantly across different situations. To enable machines to understand such complex, context-dependent behaviors, it is essential to model multiple people in relation to the sur…

Cited by 0SourcecodeScholar
2025

ParaHome: Parameterizing Everyday Home Activities Towards 3D Generative Modeling of Human-Object Interactions

CVPR 2025poster

To enable machines to understand the way humans interact with the physical world in daily life, 3D interaction signals should be captured in natural settings, allowing people to engage with multiple objects in a range of sequential and casual manipulations. To achieve this goal, we introduce our Par…

Cited by 17SourcePDFScholar