ULIFLOW: Unified Latent Human-Object Interaction Flow

Key points

• We argue that a key limitation lies in conventional skeleton-based representations, which compactly describe body kinematics while leaving surface-level interaction geometry largely implicit, often requiring additional contact-specific regularizers.1
• We propose ULIFlow, a framework that explicitly models continuous human--object relations within a unified latent space.1
• To this end, we derive continuous marker--object relations from sparse body-surface markers and treat them as an explicit interaction modality alongside human motion and object dynamics.1
• To further achieve variable-length generation, we introduce a blockwise Flow Forcing scheme with global sequence-progress conditioning, enabling progressive continuation from fixed-length training windows while maintaining consistent long-horizon dynamics.1

Sources (1)

• [1]ULIFLOW: Unified Latent Human-Object Interaction Flow
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 16, 10:37 PM

  Text-conditioned 3D human--object interaction (HOI) generation remains challenging because individually plausible human and object motions do not necessarily form a coherent interaction.

  We argue that a key limitation lies in conventional skeleton-based representations, which compactly describe body kinematics while leaving surface-level interaction geometry largely implicit, often requiring additional contact-specific regularizers.

Extractive summary: sentences quoted from the sources.