| Gated-scnn: Gated shape cnns for semantic segmentation T Takikawa, D Acuna, V Jampani, S Fidler Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 765 | 2019 |
| Magic3d: High-resolution text-to-3d content creation CH Lin, J Gao, L Tang, T Takikawa, X Zeng, X Huang, K Kreis, S Fidler, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 725 | 2023 |
| Neural fields in visual computing and beyond Y Xie, T Takikawa, S Saito, O Litany, S Yan, N Khan, F Tombari, ... Computer Graphics Forum 41 (2), 641-676, 2022 | 518* | 2022 |
| Neural geometric level of detail: Real-time rendering with implicit 3d shapes T Takikawa, J Litalien, K Yin, K Kreis, C Loop, D Nowrouzezahrai, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 409 | 2021 |
| Variable bitrate neural fields T Takikawa, A Evans, J Tremblay, T Müller, M McGuire, A Jacobson, ... ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022 | 92 | 2022 |
| Kaolin: A Pytorch Library for Accelerating 3D Deep Learning Research CF Tsang, M Shugrina, JF Lafleche, T Takikawa, J Wang, C Loop, ... https://github.com/NVIDIAGameWorks/kaolin, 0 | 91* | |
| Att3d: Amortized text-to-3d object synthesis J Lorraine, K Xie, X Zeng, CH Lin, T Takikawa, N Sharp, TY Lin, MY Liu, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 50 | 2023 |
| Rtmv: A ray-traced multi-view synthetic dataset for novel view synthesis J Tremblay, M Meshry, A Evans, J Kautz, A Keller, S Khamis, T Müller, ... arXiv preprint arXiv:2205.07058, 2022 | 24 | 2022 |
| A dataset and explorer for 3D signed distance functions T Takikawa, A Glassner, M McGuire Journal of Computer Graphics Techniques 11 (2), 2022 | 14 | 2022 |
| Kaolin wisp: A pytorch library and engine for neural fields research T Takikawa, O Perel, CF Tsang, C Loop, J Litalien, J Tremblay, S Fidler, ... https://github.com/NVIDIAGameWorks/kaolin-wisp, 2022 | 12 | 2022 |
| Shape fusion for image analysis DJA Marrero, T Takikawa, V Jampani, S Fidler US Patent 11,676,284, 2023 | 6 | 2023 |
| Compact neural graphics primitives with learned hash probing T Takikawa, T Müller, M Nimier-David, A Evans, S Fidler, A Jacobson, ... SIGGRAPH Asia 2023 Conference Papers, 1-10, 2023 | 4 | 2023 |
| What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs A Trevithick, M Chan, T Takikawa, U Iqbal, S De Mello, M Chandraker, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Real-time rendering with implicit shapes TA Takikawa, J Litalien, K Yin, KJ Kreis, C Loop, M McGuire, S Fidler US Patent 11,335,056, 2022 | 2 | 2022 |
| Real-time rendering with implicit shapes TA Takikawa, J Litalien, K Yin, KJ Kreis, C Loop, M McGuire, S Fidler US Patent App. 18/412,228, 2024 | | 2024 |
| High resolution text-to-3d content creation CH Lin, TY Lin, MY Liu, S Fidler, K Kreis, L Tang, X Zeng, J Gao, X Huang, ... US Patent App. 18/232,279, 2024 | | 2024 |
| Table dictionaries for compressing neural graphics primitives AG Keller, T Müller-Höhne, T Takikawa US Patent App. 18/298,852, 2023 | | 2023 |
| Neural Fields for Visual Computing: SIGGRAPH 2023 Course T Takikawa, S Saito, J Tompkin, V Sitzmann, S Sridhar, O Litany, A Yu ACM SIGGRAPH 2023 Courses, 1-227, 2023 | | 2023 |
