| Meshcnn: a network with an edge R Hanocka, A Hertz, N Fish, R Giryes, S Fleishman, D Cohen-Or ACM Transactions on Graphics (ToG) 38 (4), 1-12, 2019 | 963 | 2019 |
| Text2mesh: Text-driven neural stylization for meshes O Michel, R Bar-On, R Liu, S Benaim, R Hanocka Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 474 | 2022 |
| Glaze: Protecting artists from style mimicry by {Text-to-Image} models S Shan, J Cryan, E Wenger, H Zheng, R Hanocka, BY Zhao 32nd USENIX Security Symposium (USENIX Security 23), 2187-2204, 2023 | 368 | 2023 |
| Point2Mesh: a self-prior for deformable meshes R Hanocka, G Metzer, R Giryes, D Cohen-Or ACM Transactions on Graphics (TOG) 39 (4), 2020 | 334 | 2020 |
| Ganimator: Neural motion synthesis from a single sequence P Li, K Aberman, Z Zhang, R Hanocka, O Sorkine-Hornung ACM Transactions on Graphics (TOG) 41 (4), 1-12, 2022 | 118 | 2022 |
| Textdeformer: Geometry manipulation using text guidance W Gao, N Aigerman, T Groueix, V Kim, R Hanocka ACM SIGGRAPH 2023 conference proceedings, 1-11, 2023 | 109 | 2023 |
| Deep geometric texture synthesis A Hertz, R Hanocka, R Giryes, D Cohen-Or ACM Transactions on Graphics (TOG) 39 (4), 2020 | 92 | 2020 |
| Pointgmm: A neural gmm network for point clouds A Hertz, R Hanocka, R Giryes, D Cohen-Or Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 90 | 2020 |
| Learning skeletal articulations with neural blend shapes P Li, K Aberman, R Hanocka, L Liu, O Sorkine-Hornung, B Chen ACM Transactions on Graphics (TOG) 40 (4), 1-15, 2021 | 77 | 2021 |
| Orienting point clouds with dipole propagation G Metzer, R Hanocka, D Zorin, R Giryes, D Panozzo, D Cohen-Or ACM Transactions on Graphics (TOG) 40 (4), 1-14, 2021 | 74 | 2021 |
| Alignet: Partial-shape agnostic alignment via unsupervised learning R Hanocka, N Fish, Z Wang, R Giryes, S Fleishman, D Cohen-Or ACM Transactions on Graphics (TOG) 38 (1), 1-14, 2018 | 64 | 2018 |
| Blind Visual Motif Removal from a Single Image A Hertz, S Fogel, R Hanocka, R Giryes, D Cohen-Or Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 49 | 2019 |
| Self-sampling for neural point cloud consolidation G Metzer, R Hanocka, R Giryes, D Cohen-Or ACM Transactions on Graphics (TOG) 40 (5), 1-14, 2021 | 38 | 2021 |
| Tedi: Temporally-entangled diffusion for long-term motion synthesis Z Zhang, R Liu, K Aberman, R Hanocka ACM SIGGRAPH 2024 Conference Papers, 1-11, 2024 | 37 | 2024 |
| 3d highlighter: Localizing regions on 3d shapes via text descriptions D Decatur, I Lang, R Hanocka Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 33 | 2023 |
| 3d paintbrush: Local stylization of 3d shapes with cascaded score distillation D Decatur, I Lang, K Aberman, R Hanocka Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 31 | 2024 |
| Geocode: Interpretable shape programs O Pearl, I Lang, Y Hu, RA Yeh, R Hanocka Computer Graphics Forum 44 (1), e15276, 2025 | 23 | 2025 |
| Hyperfields: Towards zero-shot generation of nerfs from text S Babu, R Liu, A Zhou, M Maire, G Shakhnarovich, R Hanocka arXiv preprint arXiv:2310.17075, 2023 | 17 | 2023 |
| Tetgan: A convolutional neural network for tetrahedral mesh generation W Gao, A Wang, G Metzer, RA Yeh, R Hanocka arXiv preprint arXiv:2210.05735, 2022 | 14 | 2022 |
| The neurally-guided shape parser: Grammar-based labeling of 3d shape regions with approximate inference RK Jones, A Habib, R Hanocka, D Ritchie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 14 | 2022 |