| 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 | 354 | 2022 |
| Tedi: Temporally-entangled diffusion for long-term motion synthesis Z Zhang, R Liu, R Hanocka, K Aberman ACM SIGGRAPH 2024 Conference Papers, 1-11, 2024 | 18 | 2024 |
| 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 | 9 | 2023 |
| Text2Mesh: Text-Driven Neural Stylization for Meshes. In 2022 IEEE O Michel, R Bar-On, R Liu, S Benaim, R Hanocka CVF Conference on Computer Vision and Pattern Recognition (CVPR)(New Orleans …, 2022 | 5 | 2022 |
| Da wand: Distortion-aware selection using neural mesh parameterization R Liu, N Aigerman, VG Kim, R Hanocka Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Towards Multimodal Interaction with AI-Infused Shape-Changing Interfaces KN Chenfeng Gao, Wanli Qian, Richard Liu, Rana Hanocka UIST 2024, 2024 | | 2024 |
| Towards Multimodal Interaction with AI-Infused Shape-Changing Interfaces C Gao, W Qian, R Liu, R Hanocka, K Nakagaki Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface …, 2024 | | 2024 |
