Rinon Gal

According to our database, Rinon Gal authored at least 34 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Policy Optimized Text-to-Image Pipeline Design.

Uri Gadot, Rinon Gal, Yftah Ziser, Gal Chechik, Shie Mannor

CoRR, May, 2025

IP-Composer: Semantic Composition of Visual Concepts.

Sara Dorfman, Dana Cohen-Bar, Rinon Gal, Daniel Cohen-Or

CoRR, February, 2025

ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation.

Rotem Shalev-Arkushin, Rinon Gal, Amit H. Bermano, Ohad Fried

CoRR, February, 2025

Nested Attention: Semantic-aware Attention Values for Concept Personalization.

Or Patashnik, Rinon Gal, Daniil Ostashev, Sergey Tulyakov, Kfir Aberman, Daniel Cohen-Or

CoRR, January, 2025

Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models.

Michael Toker, Ido Galil, Hadas Orgad, Rinon Gal, Yoad Tewel, Gal Chechik, Yonatan Belinkov

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

2024

Training-Free Consistent Text-to-Image Generation.

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

ACM Trans. Graph., July, 2024

Multi-Shot Character Consistency for Text-to-Video Generation.

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

CoRR, 2024

ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation.

Rinon Gal, Adi Haviv, Yuval Alaluf, Amit H. Bermano, Daniel Cohen-Or, Gal Chechik

CoRR, 2024

Consolidating Attention Features for Multi-view Image Editing.

Or Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models.

Gilad Deutch, Rinon Gal, Daniel Garibi, Or Patashnik, Daniel Cohen-Or

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

DiffUHaul: A Training-Free Method for Object Dragging in Images.

Omri Avrahami, Rinon Gal, Gal Chechik, Ohad Fried, Dani Lischinski, Arash Vahdat, Weili Nie

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

LCM-Lookahead for Encoder-Based Text-to-Image Personalization.

Rinon Gal, Or Lichter, Elad Richardson, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or

Proceedings of the Computer Vision - ECCV 2024, 2024

Breathing Life Into Sketches Using Text-to-Video Priors.

Rinon Gal, Yael Vinker, Yuval Alaluf, Amit Bermano, Daniel Cohen-Or, Ariel Shamir, Gal Chechik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

ACM Trans. Graph., August, 2023

Designing an Encoder for Fast Personalization of Text-to-Image Models.

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

CoRR, 2023

Cross-domain Compositing with Pretrained Diffusion Models.

Roy Hachnochi, Mingrui Zhao, Nadav Orzech, Rinon Gal, Ali Mahdavi-Amiri, Daniel Cohen-Or, Amit Haim Bermano

CoRR, 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 H. Bermano

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

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

Yoad Tewel, Rinon Gal, Gal Chechik, Yuval Atzmon

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

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

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

StyleGAN-NADA: CLIP-guided domain adaptation of image generators.

Rinon Gal, Or Patashnik, Haggai Maron, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or

ACM Trans. Graph., 2022

Self-Conditioned Generative Adversarial Networks for Image Editing.

Yunzhe Liu, Rinon Gal, Amit H. Bermano, Baoquan Chen, Daniel Cohen-Or

CoRR, 2022

State-of-the-Art in the Architecture, Methods and Applications of StyleGAN.

Amit H. Bermano, Rinon Gal, Yuval Alaluf, Ron Mokady, Yotam Nitzan, Omer Tov, Or Patashnik, Daniel Cohen-Or

Comput. Graph. Forum, 2022

Stitch it in Time: GAN-Based Facial Editing of Real Videos.

Rotem Tzaban, Ron Mokady, Rinon Gal, Amit Bermano, Daniel Cohen-Or

Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

Self-Conditioned GANs for Image Editing.

Yunzhe Liu, Rinon Gal, Amit H. Bermano, Baoquan Chen, Daniel Cohen-Or

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

"This Is My Unicorn, Fluffy": Personalizing Frozen Vision-Language Representations.

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

Proceedings of the Computer Vision - ECCV 2022, 2022

LARGE: Latent-Based Regression through GAN Semantics.

Yotam Nitzan, Rinon Gal, Ofir Brenner, Daniel Cohen-Or

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing.

Yuval Alaluf, Omer Tov, Ron Mokady, Rinon Gal, Amit Bermano

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

SWAGAN: a style-based wavelet-driven generative model.

Rinon Gal, Dana Cohen Hochberg, Amit Bermano, Daniel Cohen-Or

ACM Trans. Graph., 2021

StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators.

Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or

CoRR, 2021

MRGAN: Multi-Rooted 3D Shape Representation Learning with Unsupervised Part Disentanglement.

Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or

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

2020

MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement.

Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or

CoRR, 2020

Cardinal Graph Convolution Framework for Document Information Extraction.

Rinon Gal, Shai Ardazi, Roy Shilkrot

Proceedings of the DocEng '20: ACM Symposium on Document Engineering 2020, Virtual Event, CA, USA, September 29, 2020

2018

Visual-Linguistic Methods for Receipt Field Recognition.

Rinon Gal, Nimrod Morag, Roy Shilkrot

Proceedings of the Computer Vision - ACCV 2018, 2018