Imagic: Text-based real image editing with diffusion models B Kawar, S Zada, O Lang, O Tov, H Chang, T Dekel, I Mosseri, M Irani Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 558 | 2023 |
Dreambooth3d: Subject-driven text-to-3d generation A Raj, S Kaza, B Poole, M Niemeyer, N Ruiz, B Mildenhall, S Zada, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 107 | 2023 |
Teaching clip to count to ten R Paiss, A Ephrat, O Tov, S Zada, I Mosseri, M Irani, T Dekel Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 35 | 2023 |
Lumiere: A space-time diffusion model for video generation O Bar-Tal, H Chefer, O Tov, C Herrmann, R Paiss, S Zada, A Ephrat, J Hur, ... arXiv preprint arXiv:2401.12945, 2024 | 30 | 2024 |
Pure noise to the rescue of insufficient data: Improving imbalanced classification by training on random noise images S Zada, I Benou, M Irani International Conference on Machine Learning, 25817-25833, 2022 | 16 | 2022 |