HOI-PAGE creates realistic 4D human-object interactions from text by using LLM-derived part affordance graphs to guide object decomposition, reference video extraction, and constraint-based motion optimization in zero-shot fashion.
Deep unsupervised learning using nonequilibrium thermodynamics
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Diffusion-based inverse problem solvers are made robust to outliers by combining explicit noise estimation with a Huber-loss IRLS objective solved via conjugate gradient.
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HOI-PAGE: Zero-Shot Human-Object Interaction Generation with Part Affordance Guidance
HOI-PAGE creates realistic 4D human-object interactions from text by using LLM-derived part affordance graphs to guide object decomposition, reference video extraction, and constraint-based motion optimization in zero-shot fashion.
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Outlier-Robust Diffusion Solvers for Inverse Problems
Diffusion-based inverse problem solvers are made robust to outliers by combining explicit noise estimation with a Huber-loss IRLS objective solved via conjugate gradient.