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ContextAnyone: Context-Aware Diffusion for Character-Consistent Text-to-Video Generation
Text-to-video generation has advanced rapidly, yet preserving a character's holistic appearance from a single reference image remains challenging, particularly when the character undergoes large pose, motion, and scene changes. Existing reference-conditioned approaches primarily treat the reference
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