Author

Hadar Averbuch-Elor

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Jul 2026

Latent-Identity Tuning in Text-to-Image Personalization Models

This work explores the latent space of a pre-trained, frozen encoder for text-to-image personalization, and shows that meaningful directions can be identified within this space and within subspaces defined by selected tokens, enabling localized, fine-grained, and semantically coherent edits.

Daniel Garibi, Ronen Kamenetsky, Hadar Averbuch-Elor et al. · arXiv.org · 0 citations

Jul 2026

MV-Forcing: Long Multi-View Video Generation via 4D-Grounded Spatio-Temporal Self-Forcing

MV-Forcing, a framework that composes temporal and view-wise autoregression within a single diffusion model by introducing a 4D geometric bridge between sequentially generated views, and closes the train-inference exposure bias gap for both temporal and view-sequential autoregression.

Gal Fiebelman, Hadar Averbuch-Elor, Sagie Benaim · arXiv.org · 1 citation