| Abc: A big cad model dataset for geometric deep learning S Koch, A Matveev, Z Jiang, F Williams, A Artemov, E Burnaev, M Alexa, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 487 | 2019 |
| Lion: Latent point diffusion models for 3d shape generation A Vahdat, F Williams, Z Gojcic, O Litany, S Fidler, K Kreis Advances in Neural Information Processing Systems 35, 10021-10039, 2022 | 390 | 2022 |
| Deep geometric prior for surface reconstruction F Williams, T Schneider, C Silva, D Zorin, J Bruna, D Panozzo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 211 | 2019 |
| Gradient dynamics of shallow univariate relu networks F Williams, M Trager, D Panozzo, C Silva, D Zorin, J Bruna Advances in neural information processing systems 32, 2019 | 90 | 2019 |
| Learning smooth neural functions via lipschitz regularization HTD Liu, F Williams, A Jacobson, S Fidler, O Litany ACM SIGGRAPH 2022 Conference Proceedings, 1-13, 2022 | 84 | 2022 |
| Neural splines: Fitting 3d surfaces with infinitely-wide neural networks F Williams, M Trager, J Bruna, D Zorin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 61 | 2021 |
| Neural fields as learnable kernels for 3d reconstruction F Williams, Z Gojcic, S Khamis, D Zorin, J Bruna, S Fidler, O Litany Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 55 | 2022 |
| Neural kernel surface reconstruction J Huang, Z Gojcic, M Atzmon, O Litany, S Fidler, F Williams Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 42 | 2023 |
| Neural lidar fields for novel view synthesis S Huang, Z Gojcic, Z Wang, F Williams, Y Kasten, S Fidler, K Schindler, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 33 | 2023 |
| Voronoinet: General functional approximators with local support F Williams, J Parent-Levesque, D Nowrouzezahrai, D Panozzo, KM Yi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 17 | 2020 |
| Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies X Ren, J Huang, X Zeng, K Museth, S Fidler, F Williams Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 12 | 2024 |
| Geometric computing with python S Koch, T Schneider, F Williams, D Panozzo ACM SIGGRAPH 2019 Courses, 1-45, 2019 | 9 | 2019 |
| Symmetry breaking in symmetric tensor decomposition Y Arjevani, J Bruna, M Field, J Kileel, M Trager, F Williams arXiv preprint arXiv:2103.06234, 2021 | 8 | 2021 |
| Unwind: Interactive fish straightening F Williams, A Bock, H Doraiswamy, C Donatelli, K Hall, A Summers, ... Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 7 | 2020 |
| NeRF-XL: Scaling NeRFs with Multiple GPUs R Li, S Fidler, A Kanazawa, F Williams arXiv preprint arXiv:2404.16221, 2024 | 2 | 2024 |
| Learning to Jointly Understand Visual and Tactile Signals Y Li, Y Du, C Liu, F Williams, M Foshey, B Eckart, J Kautz, JB Tenenbaum, ... The Twelfth International Conference on Learning Representations, 2023 | 2 | 2023 |
| Synthesizing three-dimensional shapes using latent diffusion models in content generation systems and applications KJ Kreis, X Zeng, A Vahdat, F Williams, Z Gojcic, O Litany, S Fidler US Patent App. 18/320,716, 2024 | 1 | 2024 |
| Topology Optimization with FEniCS Z Ferguson, F Williams | 1 | 2018 |
| Using machine learning for surface reconstruction in synthetic content generation systems and applications J Huang, F Williams, Z Gojcic, M Atzmon, O Litany, S Fidler US Patent App. 18/169,825, 2024 | | 2024 |
| fVDB: A Deep-Learning Framework for Sparse, Large Scale, and High Performance Spatial Intelligence F Williams, J Huang, J Swartz, G Klar, V Thakkar, M Cong, X Ren, R Li, ... ACM Transactions on Graphics (TOG) 43 (4), 1-15, 2024 | | 2024 |
