output
20202024
most citedBlended Diffusion for Text-driven Editing of Natural Images

752 citations

5 papers

cs.CV2024★ 17 cited

Stable Flow: Vital Layers for Training-Free Image Editing

Omri Avrahami, Or Patashnik, Ohad Fried +4

Diffusion models have revolutionized the field of content synthesis and editing. Recent models have replaced the traditional UNet architecture with the Diffusion Transformer (DiT),…

math.ST2023

Higher criticism for rare and weak non-proportional hazard deviations in survival analysis

Alon Kipnis, Ben Galili, Zohar Yakhini

We propose a method for comparing survival data based on the higher criticism of p-values obtained from multiple exact hypergeometric tests. The method accommodates non-informative…

cs.CV2022★ 153 cited

SpaText: Spatio-Textual Representation for Controllable Image Generation

Omri Avrahami, Thomas Hayes, Oran Gafni +6

Recent text-to-image diffusion models are able to generate convincing results of unprecedented quality. However, it is nearly impossible to control the shapes of different regions/…

cs.CV2021★ 752 cited

Blended Diffusion for Text-driven Editing of Natural Images

Omri Avrahami, Dani Lischinski, Ohad Fried

Natural language offers a highly intuitive interface for image editing. In this paper, we introduce the first solution for performing local (region-based) edits in generic natural…

math.ST2020★ 15 cited

Higher Criticism to Compare Two Large Frequency Tables, with sensitivity to Possible Rare and Weak Differences

David L. Donoho, Alon Kipnis

We adapt Higher Criticism (HC) to the comparison of two frequency tables which may -- or may not -- exhibit moderate differences between the tables in some unknown, relatively smal…