Omri Avrahami
Scholar

Omri Avrahami

Google Scholar ID: Vs3eC2AAAAAJ
The Hebrew University of Jerusalem
Generative AIDeep LearningMachine LearningComputer Vision
Citations & Impact
All-time
Citations
2,406
 
H-index
10
 
i10-index
10
 
Publications
14
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • Aleph: A new way to edit, transform and generate video (2025)
  • Story2Board: A Training-Free Approach for Expressive Storyboard Generation (arXiv, 2025)
  • Stable Flow: Vital Layers for Training-Free Image Editing (CVPR, 2025)
  • Click2Mask: Local Editing with Dynamic Mask Generation (AAAI, 2025)
  • DiffUHaul: A Training-Free Method for Object Dragging in Images (SIGGRAPH Asia, 2024)
  • PALP: Prompt Aligned Personalization of Text-to-Image Models (SIGGRAPH Asia, 2024)
  • The Chosen One: Consistent Characters in Text-to-Image Diffusion Models (SIGGRAPH, 2024)
  • Break-A-Scene: Extracting Multiple Concepts from a Single Image (SIGGRAPH Asia, 2023)
Research Experience
  • Currently a Researcher at Runway AI focusing on generative video models. Previously worked as a Researcher at Pika Labs, Snap Research, NVIDIA Research, Google Research, Facebook AI Research (FAIR), and Lightricks.
Education
  • Ph.D. in Computer Science from the Hebrew University of Jerusalem, jointly supervised by Prof. Dani Lischinski and Prof. Ohad Fried.
Background
  • Research interests include machine learning, computer vision, and generative models. Specifically, interested in developing new tools for content synthesis and editing, known as Generative AI.
Miscellany
  • Contact information: Email, Github, Scholar, Twitter, LinkedIn, YouTube