| Clip-forge: Towards zero-shot text-to-shape generation A Sanghi, H Chu, JG Lambourne, Y Wang, CY Cheng, M Fumero, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 249 | 2022 |
| Info3D: Representation Learning on 3D Objects Using Mutual Information Maximization and Contrastive Learning A Sanghi ECCV 2020, 2020 | 90 | 2020 |
| Brepnet: A topological message passing system for solid models JG Lambourne, KDD Willis, PK Jayaraman, A Sanghi, P Meltzer, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 81 | 2021 |
| Uv-net: Learning from boundary representations PK Jayaraman, A Sanghi, JG Lambourne, KDD Willis, T Davies, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 66* | 2021 |
| Capri-net: Learning compact cad shapes with adaptive primitive assembly F Yu, Z Chen, M Li, A Sanghi, H Shayani, A Mahdavi-Amiri, H Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 54 | 2022 |
| Joinable: Learning bottom-up assembly of parametric cad joints KDD Willis, PK Jayaraman, H Chu, Y Tian, Y Li, D Grandi, A Sanghi, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 53 | 2022 |
| Clip-sculptor: Zero-shot generation of high-fidelity and diverse shapes from natural language A Sanghi, R Fu, V Liu, KDD Willis, H Shayani, AH Khasahmadi, S Sridhar, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 37 | 2023 |
| Solidgen: An autoregressive model for direct b-rep synthesis PK Jayaraman, JG Lambourne, N Desai, KDD Willis, A Sanghi, ... arXiv preprint arXiv:2203.13944, 2022 | 30 | 2022 |
| Reconstructing editable prismatic cad from rounded voxel models JG Lambourne, K Willis, PK Jayaraman, L Zhang, A Sanghi, ... SIGGRAPH Asia 2022 Conference Papers, 1-9, 2022 | 26 | 2022 |
| TEXTCRAFT: ZERO-SHOT GENERATION OF HIGH FIDELITY AND DIVERSE SHAPES FROM TEXT A Sanghi, R Fu, V Liu, K Willis, H Shayani, AH Khasahmadi, S Sridhar, ... | 12 | 2022 |
| Slime: Segment like me A Khani, SA Taghanaki, A Sanghi, AM Amiri, G Hamarneh arXiv preprint arXiv:2309.03179, 2023 | 10 | 2023 |
| Jigsaw-vae: Towards balancing features in variational autoencoders SA Taghanaki, M Havaei, A Lamb, A Sanghi, A Danielyan, T Custis arXiv preprint arXiv:2005.05496, 2020 | 10 | 2020 |
| Sketch-a-shape: Zero-shot sketch-to-3d shape generation A Sanghi, PK Jayaraman, A Rampini, J Lambourne, H Shayani, ... arXiv preprint arXiv:2307.03869, 2023 | 9 | 2023 |
| UNIST: unpaired neural implicit shape translation network Q Chen, J Merz, A Sanghi, H Shayani, A Mahdavi-Amiri, H Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 6 | 2022 |
| UVStyle-Net: Unsupervised few-shot learning of 3D style similarity measure for B-reps P Meltzer, H Shayani, A Khasahmadi, PK Jayaraman, A Sanghi, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 5 | 2021 |
| Make-a-shape: a ten-million-scale 3d shape model KH Hui, A Sanghi, A Rampini, KR Malekshan, Z Liu, H Shayani, CW Fu Forty-first International Conference on Machine Learning, 2024 | 2 | 2024 |
| How Powerful Are Randomly Initialized Pointcloud Set Functions? A Sanghi, PK Jayaraman Sets & Partitions Workshop at 33rd Conference on Neural Information …, 2020 | 2 | 2020 |
| Techniques for generating visualizations of geometric style gradients P Meltzer, AHK AHMADI, PK Jayaraman, JG Lambourne, A Sanghi, ... US Patent App. 17/523,749, 2022 | 1 | 2022 |
| Group-disentangled representation learning with weakly-supervised regularization L Tran, AH Khasahmadi, A Sanghi, S Asgari arXiv preprint arXiv:2110.12185, 2021 | 1 | 2021 |
| Towards 3D rotation invariant embeddings A Sanghi, A Danielyan CVPR 2019 workshop on 3D scene understanding for vision, graphics, and robotics, 2019 | 1 | 2019 |
