HunyuanVideo-HOMA: Generic Human-Object Interaction in Multimodal Driven Human Animation

• URL: http://arxiv.org/abs/2506.08797v1
• Date: Tue, 10 Jun 2025 13:45:00 GMT
• Title: HunyuanVideo-HOMA: Generic Human-Object Interaction in Multimodal Driven Human Animation
• Abstract summary: HunyuanVideo-HOMA is a weakly conditioned multimodal-driven framework.<n>It encodes appearance and motion signals into the dual input space of a multimodal diffusion transformer.<n>It synthesizes anatomically temporally consistent and physically plausible interactions.
• Score: 26.23483219159567
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: To address key limitations in human-object interaction (HOI) video generation -- specifically the reliance on curated motion data, limited generalization to novel objects/scenarios, and restricted accessibility -- we introduce HunyuanVideo-HOMA, a weakly conditioned multimodal-driven framework. HunyuanVideo-HOMA enhances controllability and reduces dependency on precise inputs through sparse, decoupled motion guidance. It encodes appearance and motion signals into the dual input space of a multimodal diffusion transformer (MMDiT), fusing them within a shared context space to synthesize temporally consistent and physically plausible interactions. To optimize training, we integrate a parameter-space HOI adapter initialized from pretrained MMDiT weights, preserving prior knowledge while enabling efficient adaptation, and a facial cross-attention adapter for anatomically accurate audio-driven lip synchronization. Extensive experiments confirm state-of-the-art performance in interaction naturalness and generalization under weak supervision. Finally, HunyuanVideo-HOMA demonstrates versatility in text-conditioned generation and interactive object manipulation, supported by a user-friendly demo interface. The project page is at https://anonymous.4open.science/w/homa-page-0FBE/.

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