Dvir Samuel

According to our database, Dvir Samuel authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

OmnimatteZero: Training-free Real-time Omnimatte with Pre-trained Video Diffusion Models.

Dvir Samuel, Matan Levy, Nir Darshan, Gal Chechik, Rami Ben-Ari

CoRR, March, 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

CoRR, March, 2025

Task-Specific Adaptation with Restricted Model Access.

Matan Levy, Rami Ben-Ari, Dvir Samuel, Nir Darshan, Dani Lischinski

CoRR, February, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Bringing Objects to Life: 4D generation from 3D objects.

Ohad Rahamim, Ori Malca, Dvir Samuel, Gal Chechik

CoRR, 2024

Unveiling the Power of Diffusion Features For Personalized Segmentation and Retrieval.

Dvir Samuel, Rami Ben-Ari, Matan Levy, Nir Darshan, Gal Chechik

CoRR, 2024

Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval.

Dvir Samuel, Rami Ben-Ari, Matan Levy, Nir Darshan, Gal Chechik

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Generating Images of Rare Concepts Using Pre-trained Diffusion Models.

Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Fixed-point Inversion for Text-to-image diffusion models.

Barak Meiri, Dvir Samuel, Nir Darshan, Gal Chechik, Shai Avidan, Rami Ben-Ari

CoRR, 2023

It is all about where you start: Text-to-image generation with seed selection.

Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik

CoRR, 2023

Norm-guided latent space exploration for text-to-image generation.

Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

From generalized zero-shot learning to long-tail with class descriptors.

Dvir Samuel, Yuval Atzmon, Gal Chechik

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Distributional Robustness Loss for Long-tail Learning.

Dvir Samuel, Gal Chechik

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Long-tail learning with attributes.

Dvir Samuel, Yuval Atzmon, Gal Chechik

CoRR, 2020