Search Results for author: Daniel Garibi

Found 3 papers, 1 papers with code

ReNoise: Real Image Inversion Through Iterative Noising

no code implementations • 21 Mar 2024 • Daniel Garibi, Or Patashnik, Andrey Voynov, Hadar Averbuch-Elor, Daniel Cohen-Or

However, applying these methods to real images necessitates the inversion of the images into the domain of the pretrained diffusion model.

Denoising Image Manipulation

Paper
Add Code

Cross-Image Attention for Zero-Shot Appearance Transfer

no code implementations • 6 Nov 2023 • Yuval Alaluf, Daniel Garibi, Or Patashnik, Hadar Averbuch-Elor, Daniel Cohen-Or

Recent advancements in text-to-image generative models have demonstrated a remarkable ability to capture a deep semantic understanding of images.

Denoising

Paper
Add Code

Localizing Object-level Shape Variations with Text-to-Image Diffusion Models

1 code implementation • ICCV 2023 • Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, Daniel Cohen-Or

In this paper, we present a technique to generate a collection of images that depicts variations in the shape of a specific object, enabling an object-level shape exploration process.

Denoising Object +1

101

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.