Search Results for author: Eyal Molad

Found 2 papers, 1 papers with code

UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image

1 code implementation17 Oct 2022 Dani Valevski, Matan Kalman, Eyal Molad, Eyal Segalis, Yossi Matias, Yaniv Leviathan

Text-driven image editing methods usually need edit masks, struggle with edits that require significant visual changes and cannot easily keep specific details of the edited portion.

Image Generation

Dreamix: Video Diffusion Models are General Video Editors

no code implementations2 Feb 2023 Eyal Molad, Eliahu Horwitz, Dani Valevski, Alex Rav Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, Yedid Hoshen

Our approach uses a video diffusion model to combine, at inference time, the low-resolution spatio-temporal information from the original video with new, high resolution information that it synthesized to align with the guiding text prompt.

Image Animation Image to Video Generation +3

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