PAMI: Part Anchored Motion for Text to Human-Object Interaction Generation

arXiv:2609.38466 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Project page: https://coral79.github.io/pami

Terminology

• Latent Space — 18× in this paper · explained in 7 episodes
• Ablation — 12× in this paper · explained in 1 episode
• Transformer — 9× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Decode — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Generalization — 4× in this paper · explained in 13 episodes
• ACM Transactions on Graphics — 3× in this paper
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• In European Conference on Computer Vision — 3× in this paper
• Affordance — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Rectified Flow — 2× in this paper · explained in 3 episodes
• Semantic Alignment — 2× in this paper · explained in 3 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 1× in this paper
• Embodied AI — 1× in this paper · explained in 2 episodes
• Flow Matching — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 1× in this paper
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Ornstein–Uhlenbeck Process — 1× in this paper · explained in 3 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Variational Autoencoder (VAE) — 1× in this paper · explained in 3 episodes

Sources

• ViHOI: Human-Object Interaction Synthesis with Visual Priors
• DiffH2O: Diffusion-Based Synthesis of Hand-Object Interactions from Textual Descriptions
• IMos: Intent-Driven Full-Body Motion Synthesis for Human-Object Interactions
• Unimotion: Unifying 3D Human Motion Synthesis and Understanding
• Controllable Human-Object Interaction Synthesis
• HOI-PAGE: Zero-Shot Human-Object Interaction Generation with Part Affordance Guidance
• GenHOI: Generalizing Text-driven 4D Human-Object Interaction Synthesis for Unseen Objects
• SimGenHOI: Physically Realistic Whole-Body Humanoid-Object Interaction via Generative Modeling and Reinforcement Learning
• HumanTOMATO: Text-aligned Whole-body Motion Generation
• Contact-aware Human Motion Generation from Textual Descriptions
• HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models
• Dex2HOI: Dexterous Bimanual Two-Object Interaction Generation
• MaMi-HOI: Harmonizing Global Kinematics and Local Geometry for Human-Object Interaction Generation
• THOR: Text to Human-Object Interaction Diffusion via Relation Intervention
• InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction
• Guiding Human-Object Interactions with Rich Geometry and Relations
• ChainHOI: Joint-based Kinematic Chain Modeling for Human-Object Interaction Generation
• ManiDext: Hand-Object Manipulation Synthesis via Continuous Correspondence Embeddings and Residual-Guided Diffusion
• OOD-HOI: Text-Driven 3D Whole-Body Human-Object Interactions Generation Beyond Training Domains

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