Rinon Gal
Rinon Gal
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An image is worth one word: Personalizing text-to-image generation using textual inversion
R Gal, Y Alaluf, Y Atzmon, O Patashnik, AH Bermano, G Chechik, ...
arXiv preprint arXiv:2208.01618, 2022
Stylegan-nada: Clip-guided domain adaptation of image generators
R Gal, O Patashnik, H Maron, AH Bermano, G Chechik, D Cohen-Or
ACM Transactions on Graphics (TOG) 41 (4), 1-13, 2022
Hyperstyle: Stylegan inversion with hypernetworks for real image editing
Y Alaluf, O Tov, R Mokady, R Gal, A Bermano
Proceedings of the IEEE/CVF conference on computer Vision and pattern …, 2022
Encoder-based domain tuning for fast personalization of text-to-image models
R Gal, M Arar, Y Atzmon, AH Bermano, G Chechik, D Cohen-Or
ACM Transactions on Graphics (TOG) 42 (4), 1-13, 2023
Key-locked rank one editing for text-to-image personalization
Y Tewel, R Gal, G Chechik, Y Atzmon
ACM SIGGRAPH 2023 Conference Proceedings, 1-11, 2023
Swagan: A style-based wavelet-driven generative model
R Gal, DC Hochberg, A Bermano, D Cohen-Or
ACM Transactions on Graphics (TOG) 40 (4), 1-11, 2021
State‐of‐the‐Art in the Architecture, Methods and Applications of StyleGAN
AH Bermano, R Gal, Y Alaluf, R Mokady, Y Nitzan, O Tov, O Patashnik, ...
Computer Graphics Forum 41 (2), 591-611, 2022
Stitch it in time: Gan-based facial editing of real videos
R Tzaban, R Mokady, R Gal, A Bermano, D Cohen-Or
SIGGRAPH Asia 2022 Conference Papers, 1-9, 2022
“This is my unicorn, Fluffy”: Personalizing frozen vision-language representations
N Cohen, R Gal, EA Meirom, G Chechik, Y Atzmon
European conference on computer vision, 558-577, 2022
Domain-agnostic tuning-encoder for fast personalization of text-to-image models
M Arar, R Gal, Y Atzmon, G Chechik, D Cohen-Or, A Shamir, ...
SIGGRAPH Asia 2023 Conference Papers, 1-10, 2023
MRGAN: Multi-rooted 3D shape representation learning with unsupervised part disentanglement
R Gal, A Bermano, H Zhang, D Cohen-Or
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Systems and methods for neuronal visual-linguistic data retrieval from an imaged document
A Simantov, R Shilkrot, N Morag, R Gal
US Patent 10,936,863, 2021
Large: Latent-based regression through gan semantics
Y Nitzan, R Gal, O Brenner, D Cohen-Or
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Training-Free Consistent Text-to-Image Generation
Y Tewel, O Kaduri, R Gal, Y Kasten, L Wolf, G Chechik, Y Atzmon
arXiv preprint arXiv:2402.03286, 2024
Cardinal graph convolution framework for document information extraction
R Gal, S Ardazi, R Shilkrot
Proceedings of the ACM Symposium on Document Engineering 2020, 1-11, 2020
Cross-domain compositing with pretrained diffusion models
R Hachnochi, M Zhao, N Orzech, R Gal, A Mahdavi-Amiri, D Cohen-Or, ...
arXiv preprint arXiv:2302.10167, 2023
Self-Conditioned GANs for Image Editing
Y Liu, R Gal, A H. Bermano, B Chen, D Cohen-Or
ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022
Breathing life into sketches using text-to-video priors
R Gal, Y Vinker, Y Alaluf, A Bermano, D Cohen-Or, A Shamir, G Chechik
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
Systems and methods for document image analysis with cardinal graph convolutional networks
R Gal, R Shilkrot, A Simantov
US Patent 11,238,277, 2022
Visual-linguistic methods for receipt field recognition
R Gal, N Morag, R Shilkrot
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
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