| Singan: Learning a generative model from a single natural image TR Shaham, T Dekel, T Michaeli Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 989 | 2019 |
| Looking to listen at the cocktail party: A speaker-independent audio-visual model for speech separation A Ephrat, I Mosseri, O Lang, T Dekel, K Wilson, A Hassidim, WT Freeman, ... arXiv preprint arXiv:1804.03619, 2018 | 895 | 2018 |
| 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 | 798 | 2023 |
| Plug-and-play diffusion features for text-driven image-to-image translation N Tumanyan, M Geyer, S Bagon, T Dekel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 454 | 2023 |
| Speednet: Learning the speediness in videos S Benaim, A Ephrat, O Lang, I Mosseri, WT Freeman, M Rubinstein, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 292 | 2020 |
| Text2live: Text-driven layered image and video editing O Bar-Tal, D Ofri-Amar, R Fridman, Y Kasten, T Dekel European Conference on Computer Vision, 707-723, 2022 | 276 | 2022 |
| Learning the depths of moving people by watching frozen people Z Li, T Dekel, F Cole, R Tucker, N Snavely, C Liu, WT Freeman Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 267 | 2019 |
| Deep vit features as dense visual descriptors S Amir, Y Gandelsman, S Bagon, T Dekel arXiv preprint arXiv:2112.05814 2 (3), 4, 2021 | 235 | 2021 |
| Multi-view scene flow estimation: A view centered variational approach T Basha, Y Moses, N Kiryati International journal of computer vision 101, 6-21, 2013 | 226 | 2013 |
| Speech2face: Learning the face behind a voice TH Oh, T Dekel, C Kim, I Mosseri, WT Freeman, M Rubinstein, W Matusik Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 199 | 2019 |
| Best-buddies similarity for robust template matching T Dekel, S Oron, M Rubinstein, S Avidan, WT Freeman Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 189 | 2015 |
| Multidiffusion: Fusing diffusion paths for controlled image generation O Bar-Tal, L Yariv, Y Lipman, T Dekel | 171 | 2023 |
| Stereo seam carving a geometrically consistent approach TD Basha, Y Moses, S Avidan IEEE transactions on pattern analysis and machine intelligence 35 (10), 2513 …, 2013 | 163* | 2013 |
| Tokenflow: Consistent diffusion features for consistent video editing M Geyer, O Bar-Tal, S Bagon, T Dekel arXiv preprint arXiv:2307.10373, 2023 | 145 | 2023 |
| Splicing vit features for semantic appearance transfer N Tumanyan, O Bar-Tal, S Bagon, T Dekel Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 129 | 2022 |
| Layered neural atlases for consistent video editing Y Kasten, D Ofri, O Wang, T Dekel ACM Transactions on Graphics (TOG) 40 (6), 1-12, 2021 | 129 | 2021 |
| 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 | 95 | 2024 |
| Sparse, smart contours to represent and edit images T Dekel, C Gan, D Krishnan, C Liu, WT Freeman Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 91 | 2018 |
| Best-Buddies Similarity - Robust Template Matching using Mutual Nearest Neighbors S Oron, T Dekel, T Xue, WT Freeman, S Avidan IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017 | 89 | 2017 |
| Dreamsim: Learning new dimensions of human visual similarity using synthetic data S Fu, N Tamir, S Sundaram, L Chai, R Zhang, T Dekel, P Isola arXiv preprint arXiv:2306.09344, 2023 | 73 | 2023 |
William T. FreemanProfessor of Computer Science, MITVerified email at mit.edu
