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MotionCharacter: Identity-Preserving and Motion Controllable Human Video Generation

2024-12-17

Abstract excerpt

Recent advancements in personalized Text-to-Video (T2V) generation highlight the importance of integrating character-specific identities and actions. However, previous T2V models struggle with identity consistency and controllable motion dynamics, mainly due to limited fine-grained facial and action-based textual prompts, and datasets that overlook key human attributes and actions. To address these challenges, we...

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Literature Corpus work
127b5eef-1651-5495-ae6e-31f89093c4ef
DOI
10.32388/s2ewvr
Open publication

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MotionCharacter: Identity-Preserving and Motion Controllable Human Video GenerationDOI 10.32388/s2ewvr
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