Visual-Linguistic Methods for Receipt Field Recognition. - Rinon Gal; Nimrod Morag; Roy Shilkrot (ACCV (2), 2018)

Cardinal Graph Convolution Framework for Document Information Extraction. - Rinon Gal; Shai Ardazi; Roy Shilkrot (DocEng, 2020)

MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement. - Rinon Gal; Amit Bermano; Hao Zhang 002; Daniel Cohen-Or (CoRR, 2020)

MRGAN: Multi-Rooted 3D Shape Representation Learning with Unsupervised Part Disentanglement. - Rinon Gal; Amit Bermano; Hao Zhang 002; Daniel Cohen-Or (ICCVW, 2021)

StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators. - Rinon Gal; Or Patashnik; Haggai Maron; Gal Chechik; Daniel Cohen-Or (CoRR, 2021)

SWAGAN: a style-based wavelet-driven generative model. - Rinon Gal; Dana Cohen Hochberg; Amit Bermano; Daniel Cohen-Or (ACM Trans. Graph., 2021)

HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing. - Yuval Alaluf; Omer Tov; Ron Mokady; Rinon Gal; Amit Bermano (CVPR, 2022)

LARGE: Latent-Based Regression through GAN Semantics. - Yotam Nitzan; Rinon Gal; Ofir Brenner; Daniel Cohen-Or (CVPR, 2022)

"This Is My Unicorn, Fluffy": Personalizing Frozen Vision-Language Representations. - Niv Cohen; Rinon Gal; Eli A. Meirom; Gal Chechik; Yuval Atzmon (ECCV (20), 2022)

Self-Conditioned GANs for Image Editing. - Yunzhe Liu 002; Rinon Gal; Amit H. Bermano; Baoquan Chen; Daniel Cohen-Or (SIGGRAPH (Conference Paper Track), 2022)

Stitch it in Time: GAN-Based Facial Editing of Real Videos. - Rotem Tzaban; Ron Mokady; Rinon Gal; Amit Bermano; Daniel Cohen-Or (SIGGRAPH Asia, 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)

Self-Conditioned Generative Adversarial Networks for Image Editing. - Yunzhe Liu 002; Rinon Gal; Amit H. Bermano; Baoquan Chen; Daniel Cohen-Or (CoRR, 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)

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 (ICLR, 2023)

Key-Locked Rank One Editing for Text-to-Image Personalization. - Yoad Tewel; Rinon Gal; Gal Chechik; Yuval Atzmon (SIGGRAPH (Conference Paper Track), 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 (SIGGRAPH Asia, 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)

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)

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., 2023)

Breathing Life Into Sketches Using Text-to-Video Priors. - Rinon Gal; Yael Vinker; Yuval Alaluf; Amit Bermano; Daniel Cohen-Or; Ariel Shamir; Gal Chechik (CVPR, 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 (ECCV (14), 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 (SIGGRAPH Asia, 2024)

TurboEdit: Text-Based Image Editing Using Few-Step Diffusion Models. - Gilad Deutch; Rinon Gal; Daniel Garibi; Or Patashnik; Daniel Cohen-Or (SIGGRAPH Asia, 2024)

Consolidating Attention Features for Multi-view Image Editing. - Or Patashnik; Rinon Gal; Daniel Cohen-Or; Jun-Yan Zhu; Fernando De la Torre (SIGGRAPH Asia, 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)

Multi-Shot Character Consistency for Text-to-Video Generation. - Yuval Atzmon; Rinon Gal; Yoad Tewel; Yoni Kasten; Gal Chechik (CoRR, 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., 2024)

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)

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 (NAACL (Long Papers), 2025)

Nested Attention: Semantic-aware Attention Values for Concept Personalization. - Or Patashnik; Rinon Gal; Daniil Ostashev; Sergey Tulyakov; Kfir Aberman; Daniel Cohen-Or (CoRR, 2025)

ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation. - Rotem Shalev-Arkushin; Rinon Gal; Amit H. Bermano; Ohad Fried (CoRR, 2025)

IP-Composer: Semantic Composition of Visual Concepts. - Sara Dorfman; Dana Cohen-Bar; Rinon Gal; Daniel Cohen-Or (CoRR, 2025)

Policy Optimized Text-to-Image Pipeline Design. - Uri Gadot; Rinon Gal; Yftah Ziser; Gal Chechik; Shie Mannor (CoRR, 2025)