HOMIE: Human-object Centric Video Personalization via Multimodal Intelligent Enchancement
Human-object centric video personalization (HOCVP) is a core task within subject-driven video generation. However, existing methods suffer from two key limitations. First, most approaches focusing on inter-subject personalization still struggle to strike a balance between high subject fidelity and accurate interaction patterns between humans and diverse objects, especially when objects represent abstract concepts such as logos. Second, while intra-subject references (e.g., OCR maps, multi-view inputs) are expected to enhance subject fidelity, most existing works lack mechanisms to understand s
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- PossiblePossibly related (embedding) · 47%Google Vids now lets you star in your own AI videos →
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- FuzzyOverlapping authors or contributors · 62%BerriAI/litellm →
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- FuzzyOverlapping authors or contributors · 62%mudler/LocalAI →
“Shared author/contributor keys: guo”
- FuzzyOverlapping authors or contributors · 78%sgl-project/sglang →
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- FuzzyOverlapping authors or contributors · 62%affaan-m/ECC →
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- FuzzyOverlapping authors or contributors · 62%google-research/google-research →
“Shared author/contributor keys: sun”