| Learning gradient fields for shape generation R Cai, G Yang, H Averbuch-Elor, Z Hao, S Belongie, N Snavely, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 245 | 2020 |
| Bringing portraits to life H Averbuch-Elor, D Cohen-Or, J Kopf, MF Cohen ACM transactions on graphics (TOG) 36 (6), 1-13, 2017 | 219 | 2017 |
| Scrabblegan: Semi-supervised varying length handwritten text generation S Fogel, H Averbuch-Elor, S Cohen, S Mazor, R Litman Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 133 | 2020 |
| Dualsdf: Semantic shape manipulation using a two-level representation Z Hao, H Averbuch-Elor, N Snavely, S Belongie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 114 | 2020 |
| Neural 3d reconstruction in the wild J Sun, X Chen, Q Wang, Z Li, H Averbuch-Elor, X Zhou, N Snavely ACM SIGGRAPH 2022 conference proceedings, 1-9, 2022 | 87 | 2022 |
| Read: Recursive autoencoders for document layout generation AG Patil, O Ben-Eliezer, O Perel, H Averbuch-Elor Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 60 | 2020 |
| Localizing object-level shape variations with text-to-image diffusion models O Patashnik, D Garibi, I Azuri, H Averbuch-Elor, D Cohen-Or Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 58 | 2023 |
| Clustering-driven deep embedding with pairwise constraints S Fogel, H Averbuch-Elor, D Cohen-Or, J Goldberger IEEE computer graphics and applications 39 (4), 16-27, 2019 | 56 | 2019 |
| Border-peeling clustering H Averbuch-Elor, N Bar, D Cohen-Or arXiv preprint arXiv:1612.04869, 2016 | 45 | 2016 |
| Vox-e: Text-guided voxel editing of 3d objects E Sella, G Fiebelman, P Hedman, H Averbuch-Elor Proceedings of the IEEE/CVF International Conference on Computer Vision, 430-440, 2023 | 43 | 2023 |
| Extreme rotation estimation using dense correlation volumes R Cai, B Hariharan, N Snavely, H Averbuch-Elor Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 37 | 2021 |
| What is learned in visually grounded neural syntax acquisition N Kojima, H Averbuch-Elor, AM Rush, Y Artzi arXiv preprint arXiv:2005.01678, 2020 | 24 | 2020 |
| Towers of babel: Combining images, language, and 3d geometry for learning multimodal vision X Wu, H Averbuch-Elor, J Sun, N Snavely Proceedings of the IEEE/CVF International Conference on Computer Vision, 428-437, 2021 | 18 | 2021 |
| Cross-image attention for zero-shot appearance transfer Y Alaluf, D Garibi, O Patashnik, H Averbuch-Elor, D Cohen-Or arXiv preprint arXiv:2311.03335, 2023 | 17 | 2023 |
| An ethical highlighter for people-centric dataset creation M Hanley, A Khandelwal, H Averbuch-Elor, N Snavely, H Nissenbaum arXiv preprint arXiv:2011.13583, 2020 | 17 | 2020 |
| Unsupervised natural image patch learning D Danon, H Averbuch-Elor, O Fried, D Cohen-Or Computational Visual Media 5, 229-237, 2019 | 17 | 2019 |
| Who's waldo? linking people across text and images Y Cui, A Khandelwal, Y Artzi, N Snavely, H Averbuch-Elor Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 16 | 2021 |
| Ringit: Ring-ordering casual photos of a temporal event H Averbuch-Elor, D Cohen-Or ACM Transactions on Graphics (TOG) 34 (3), 1-11, 2015 | 15 | 2015 |
| Smooth image sequences for data‐driven morphing H Averbuch‐Elor, D Cohen‐Or, J Kopf computer graphics forum 35 (2), 203-213, 2016 | 14 | 2016 |
| To SMOTE, or not to SMOTE? Y Elor, H Averbuch-Elor arXiv preprint arXiv:2201.08528, 2022 | 13 | 2022 |
