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 | 1406 | 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 | 620 | 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 | 286 | 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 | 207* | 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 | 135 | 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 | 101 | 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 | 82 | 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 | 80 | 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 | 76 | 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 | 55 | 2023 |
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 | 39 | 2021 |
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 | 35* | 2021 |
Training-free consistent text-to-image generation Y Tewel, O Kaduri, R Gal, Y Kasten, L Wolf, G Chechik, Y Atzmon ACM Transactions on Graphics (TOG) 43 (4), 1-18, 2024 | 24 | 2024 |
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 | 24 | 2022 |
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 | 13 | 2023 |
Lcm-lookahead for encoder-based text-to-image personalization R Gal, O Lichter, E Richardson, O Patashnik, AH Bermano, G Chechik, ... arXiv preprint arXiv:2404.03620 8, 2024 | 10 | 2024 |
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 | 10* | 2022 |
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 | 10 | 2020 |
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 | 9 | 2024 |
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 | 5 | 2019 |