Omri Kaduri

2 accepted papers

2026

Match-and-Fuse: Consistent Generation from Unstructured Image Sets

CVPR 2026

We present Match-and-Fuse - a zero-shot, training-free method for consistent controlled generation of unstructured image sets - collections that share a common visual element, yet differ in viewpoint, time of capture, and surrounding content. Unlike existing methods that operate on individual images

Cited by 0 Source ↗Scholar ↗

2025

What's in the Image? A Deep-Dive into the Vision of Vision Language Models

Omri Kaduri, Shai Bagon, Tali Dekel

CVPR 2025poster

Vision-Language Models (VLMs) have recently demonstrated remarkable capabilities in comprehending complex visual content. However, the mechanisms underlying how VLMs process visual information remain largely unexplored. In this paper, we conduct a thorough empirical analysis, focusing on the attent…

Cited by 4 Source ↗PDF ↗Scholar ↗