VT-DUDA proposes visual token conditioning from source images concatenated with text embeddings in latent diffusion models to improve synthetic target-style data generation for unsupervised domain adaptation.
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VT-DUDA: Visual Token Conditioning for Diffusion-guided Unsupervised Domain Adaptation
VT-DUDA proposes visual token conditioning from source images concatenated with text embeddings in latent diffusion models to improve synthetic target-style data generation for unsupervised domain adaptation.