InfBaGel: Human-Object-Scene Interaction Generation with Dynamic Perception and Iterative Refinement
📰 ArXiv cs.AI
InfBaGel generates human-object-scene interactions with dynamic perception and iterative refinement for embodied AI and simulation applications
Action Steps
- Propose a coarse-to-fine instruction-conditioned interaction generation framework
- Implement dynamic perception to reason over object-scene changes
- Apply iterative refinement to improve interaction generation accuracy
- Evaluate the framework using limited annotated data
Who Needs to Know This
AI researchers and engineers working on embodied AI, simulation, and animation projects can benefit from InfBaGel for generating realistic human-object-scene interactions, while data scientists and software engineers can appreciate the technical implementation details
Key Insight
💡 InfBaGel addresses the challenge of limited annotated data for human-object-scene interaction generation by using a coarse-to-fine instruction-conditioned framework
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🤖 InfBaGel generates human-object-scene interactions with dynamic perception & iterative refinement! 💡
Key Takeaways
InfBaGel generates human-object-scene interactions with dynamic perception and iterative refinement for embodied AI and simulation applications
Full Article
Title: InfBaGel: Human-Object-Scene Interaction Generation with Dynamic Perception and Iterative Refinement
Abstract:
arXiv:2604.04843v1 Announce Type: cross Abstract: Human-object-scene interactions (HOSI) generation has broad applications in embodied AI, simulation, and animation. Unlike human-object interaction (HOI) and human-scene interaction (HSI), HOSI generation requires reasoning over dynamic object-scene changes, yet suffers from limited annotated data. To address these issues, we propose a coarse-to-fine instruction-conditioned interaction generation framework that is explicitly aligned with the iter
Abstract:
arXiv:2604.04843v1 Announce Type: cross Abstract: Human-object-scene interactions (HOSI) generation has broad applications in embodied AI, simulation, and animation. Unlike human-object interaction (HOI) and human-scene interaction (HSI), HOSI generation requires reasoning over dynamic object-scene changes, yet suffers from limited annotated data. To address these issues, we propose a coarse-to-fine instruction-conditioned interaction generation framework that is explicitly aligned with the iter
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