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cs.CV2026
Latent-Identity Tuning in Text-to-Image Personalization Models
Daniel Garibi, Ronen Kamenetsky, Hadar Averbuch-Elor +2
Generating and editing a person's face demands high precision, as even minor modifications can significantly alter a subject's perceived identity. Current personalization and editi…
cs.CV2026
On-the-fly Repulsion in the Contextual Space for Rich Diversity in Diffusion Transformers
Omer Dahary, Benaya Koren, Daniel Garibi +1
Modern Text-to-Image (T2I) diffusion models have achieved remarkable semantic alignment, yet they often suffer from a significant lack of variety, converging on a narrow set of vis…