Yuval Atzmon | Research

Yuval Atzmon

I work on generative vision models across different data modalities (like video, natural language, and action). My focus is on controllable and personalized image and video generation with fine-grained control over identity, motion, and compositional relationships.

I obtained my Ph.D. under the guidance of Prof. Gal Chechik at Bar-Ilan University. My M.Sc. and B.Sc. are in Electrical Engineering from the Technion, Israel Institute of Technology.

Research Area(s)

Artificial Intelligence and Machine Learning

Computer Graphics

Computer Vision

Main Field of Interest

Google Scholar

https://scholar.google.com/citations?user=VJZj2MsAAAAJ&hl=en

Publications

2025

Data-Driven Loss Functions for Inference-Time Optimization in Text-to-Image

Sapir Yflah, Yuval Atzmon, Gal Chechik

Identity-Motion Trade-offs in Text-to-Video Generation

Yuval Atzmon, Rinon Gal, Yoad Tewel, Yoni Kasten, Gal Chechik

Add-it: Training-Free Object Insertion in Images via Pretrained Diffusion Models

Yoad Tewel, Rinon Gal, Dvir Samuel, Yuval Atzmon, Lior Wolf, Gal Chechik

2024

ConsiStory: Training-Free Consistent Text-to-Image Generation

Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal Chechik, Yuval Atzmon

2023

Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models

Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, Amit Bermano

SIGGRAPH Asia 2023

Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

Rinon Gal, Moab Arar, Yuval Atzmon, Amit Bermano, Gal Chechik, Daniel Cohen-Or

Key-Locked Rank One Editing for Text-to-Image Personalization

Yoad Tewel, Rinon Gal, Gal Chechik, Yuval Atzmon

Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

Rinon Gal, Moab Arar, Yuval Atzmon, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or

Learning to Initiate and Reason in Event-Driven Cascading Processes

Yuval Atzmon, Eli Meirom, Shie Mannor, Gal Chechik

2022

"This is my unicorn, Fluffy": Personalizing frozen vision-language representations

Niv Cohen, Rinon Gal, Eli Meirom, Gal Chechik, Yuval Atzmon

An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or

Top 25%

"This is my unicorn, Fluffy": Personalizing frozen vision-language representations

Niv Cohen, Rinon Gal, Gal Chechik, Yuval Atzmon

Oral

2021

Known unknowns: Learning novel concepts using exploratory reasoning-by-elimination

Harsh Agrawal, Eli Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Inte…

Oral

From Generalized Zero-Shot Learning to Long-Tail with Class Descriptors

Dvir Samuel, Yuval Atzmon, Gal Chechik

Winter Conference on Applications of Computer Vision (WACV) 2021

2020

A Causal View of Compositional Zero-Shot Recognition

Yuval Atzmon, Felix Kreuk, Uri Shalit, Gal Chechik

Neural Information Processing Systems (NeurIPS) 2020 (Spotlight)

ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization

Tzuf Paz-Argaman, Yuval Atzmon, Gal Chechik, Reut Tsarfaty

Findings of EMNLP

2019

Joint Optimization for Cooperative Image Captioning

Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik

International conference on computer vision (ICCV)

Adaptive Confidence Smoothing for Generalized Zero-Shot Learning

Yuval Atzmon, Gal Chechik

Computer Vision and Pattern Recognition (CVPR) 2019

2018

Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning

Yuval Atzmon, Gal Chechik

The conference on uncertainty in artificial intelligence (UAI 2018)

2016

Learning to generalize to new compositions in image understanding

Yuval Atzmon, Jonathan Berant, Vahid Kezami, Amir Globerson, Gal Chechik

2015

Learning Sparse Metrics, One Feature at a Time

Yuval Atzmon, Uri Shalit, Gal Chechik

Journal of Machine Learning Research