6 papers
ACEdit: Stable Multi-Turn Image Editing via Asymmetric Conditioning
Sara Dorfman, Nir Goren, Gal Barak +2
Image editing models produce impressive results for individual edits, but their quality often deteriorates over multiple editing turns. Each editing turn introduces small distribut…
Visual Diffusion Models are Geometric Solvers
Nir Goren, Shai Yehezkel, Omer Dahary +3
In this paper we show that visual diffusion models can serve as effective geometric solvers: they can directly reason about geometric problems by working in pixel space. We first d…
NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion Models
Nir Goren, Oren Katzir, Abhinav Nakarmi +3
With the rapid adoption of diffusion models for visual content generation, proving authorship and protecting copyright have become critical. This challenge is particularly importan…
Tight Inversion: Image-Conditioned Inversion for Real Image Editing
Edo Kadosh, Nir Goren, Or Patashnik +2
Text-to-image diffusion models offer powerful image editing capabilities. To edit real images, many methods rely on the inversion of the image into Gaussian noise. A common approac…
CGAL Made More Accessible
Nir Goren, Efi Fogel, Dan Halperin
We introduce bindings that enable the convenient, efficient, and reliable use of software modules of CGAL (Computational Geometry Algorithm Library), which are written in C++, from…
Geometric Sparsification of Closeness Relations: Eigenvalue Clustering for Computing Matrix Functions
Nir Goren, Dan Halperin, Sivan Toledo
We show how to efficiently solve a clustering problem that arises in a method to evaluate functions of matrices. The problem requires finding the connected components of a graph wh…