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 | 737 | 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 | 338 | 2022 |
Point2Mesh: a self-prior for deformable meshes R Hanocka, G Metzer, R Giryes, D Cohen-Or ACM Transactions on Graphics (TOG) 39 (4), 2020 | 260 | 2020 |
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 | 191 | 2023 |
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 | 81 | 2020 |
Deep geometric texture synthesis A Hertz, R Hanocka, R Giryes, D Cohen-Or ACM Transactions on Graphics (TOG) 39 (4), 2020 | 73 | 2020 |
Textdeformer: Geometry manipulation using text guidance W Gao, N Aigerman, T Groueix, V Kim, R Hanocka ACM SIGGRAPH 2023 Conference Proceedings, 1-11, 2023 | 66 | 2023 |
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 | 65 | 2022 |
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 | 57 | 2018 |
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 | 49 | 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 | 47 | 2021 |
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 | 37 | 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 | 27 | 2021 |
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 | 22 | 2023 |
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 | 15 | 2024 |
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 | 13 | 2022 |
Geocode: Interpretable shape programs O Pearl, I Lang, Y Hu, RA Yeh, R Hanocka arXiv preprint arXiv:2212.11715, 2022 | 12 | 2022 |
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 | 11 | 2024 |
An introduction to deep learning on meshes R Hanocka, HTD Liu ACM SIGGRAPH 2021 Courses, 1-27, 2021 | 11 | 2021 |
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 | 10 | 2022 |