| 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 | 145 | 2022 |
| Info3D: Representation Learning on 3D Objects Using Mutual Information Maximization and Contrastive Learning A Sanghi ECCV 2020, 2020 | 66 | 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 | 50 | 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 | 48* | 2021 |
| 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 | 38 | 2022 |
| 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 | 29 | 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 | 18 | 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 | 16 | 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 | 11 | 2022 |
| 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 | 8* | 2020 |
| 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 | 4 | 2022 |
| 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 | 3 | 2023 |
| 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 | 3 | 2021 |
| Group-disentangled Representation Learning with Weakly-Supervised Regularization L Tran, AH Khasahmadi, A Sanghi, S Asgari arXiv preprint arXiv:2110.12185, 2021 | 1 | 2021 |
| Weakly-supervised group disentanglement using total correlation L Tran, SA Taghanaki, AH Khasahmadi, A Sanghi Workshop on Weakly Supervised Learning (WeaSuL) at the International …, 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 |
| Neural style transfer in three-dimensional shapes H Shayani, M Fumero, A Sanghi US Patent App. 18/149,601, 2023 | | 2023 |
| Generating styles for neural style transfer in three-dimensional shapes H Shayani, M Fumero, A Sanghi US Patent App. 18/149,609, 2023 | | 2023 |
| Training machine learning models to perform neural style transfer in three-dimensional shapes H Shayani, M Fumero, A Sanghi US Patent App. 18/149,605, 2023 | | 2023 |
| SLiMe: Segment Like Me A Khani, SA Taghanaki, A Sanghi, AM Amiri, G Hamarneh arXiv preprint arXiv:2309.03179, 2023 | | 2023 |
