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Found 2 papers, 2 papers with code
MoDiTalker: Motion-Disentangled Diffusion Model for High-Fidelity Talking Head Generation
AToM excels in capturing subtle lip movements by leveraging an audio attention mechanism.
DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization
The objective of text-to-image (T2I) personalization is to customize a diffusion model to a user-provided reference concept, generating diverse images of the concept aligned with the target prompts.
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