Samuel, Dvir

9 publications

ICLR 2025 Add-It: Training-Free Object Insertion in Images with Pretrained Diffusion Models Yoad Tewel, Rinon Gal, Dvir Samuel, Yuval Atzmon, Lior Wolf, Gal Chechik

ICLR 2025 EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition Issar Tzachor, Boaz Lerner, Matan Levy, Michael Green, Tal Berkovitz Shalev, Gavriel Habib, Dvir Samuel, Noam Korngut Zailer, Or Shimshi, Nir Darshan, Rami Ben-Ari

NeurIPS 2025 Find Your Needle: Small Object Image Retrieval via Multi-Object Attention Optimization Michael Green, Matan Levy, Issar Tzachor, Dvir Samuel, Nir Darshan, Rami Ben-Ari

ICLR 2025 Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models Dvir Samuel, Barak Meiri, Haggai Maron, Yoad Tewel, Nir Darshan, Shai Avidan, Gal Chechik, Rami Ben-Ari

AAAI 2024 Generating Images of Rare Concepts Using Pre-Trained Diffusion Models Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik

NeurIPS 2024 Where's Waldo: Diffusion Features for Personalized Segmentation and Retrieval Dvir Samuel, Rami Ben-Ari, Matan Levy, Nir Darshan, Gal Chechik

NeurIPS 2023 Norm-Guided Latent Space Exploration for Text-to-Image Generation Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik

ICCV 2021 Distributional Robustness Loss for Long-Tail Learning Dvir Samuel, Gal Chechik

WACV 2021 From Generalized Zero-Shot Learning to Long-Tail with Class Descriptors Dvir Samuel, Yuval Atzmon, Gal Chechik