4 citations · 14 across the 20 of their papers we have counts for
5 papers · 2 filters
Story2Board: A Training-Free Approach for Expressive Storyboard Generation
David Dinkevich, Matan Levy, Omri Avrahami +2
We present Story2Board, a training-free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key a…
Per-Query Visual Concept Learning
Ori Malca, Dvir Samuel, Gal Chechik
Visual concept learning, also known as Text-to-image personalization, is the process of teaching new concepts to a pretrained model. This has numerous applications from product pla…
OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion Models
Dvir Samuel, Matan Levy, Nir Darshan +2
In Omnimatte, one aims to decompose a given video into semantically meaningful layers, including the background and individual objects along with their associated effects, such as…
Find your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization
Michael Green, Matan Levy, Issar Tzachor +3
We address the challenge of Small Object Image Retrieval (SoIR), where the goal is to retrieve images containing a specific small object, in a cluttered scene. The key challenge in…
Task-Specific Adaptation with Restricted Model Access
Matan Levy, Rami Ben-Ari, Dvir Samuel +2
The emergence of foundational models has greatly improved performance across various downstream tasks, with fine-tuning often yielding even better results. However, existing fine-t…