| Instant Neural Graphics Primitives with a Multiresolution Hash Encoding T Müller, A Evans, C Schied, A Keller ACM Transactions on Graphics (TOG) 41 (4), 102:1-102:15, 2022 | 3900 | 2022 |
| Neural importance sampling T Müller, B McWilliams, F Rousselle, M Gross, J Novák ACM Transactions on Graphics (TOG) 38 (5), 145, 2019 | 398 | 2019 |
| Neuralangelo: High-Fidelity Neural Surface Reconstruction Z Li, T Müller, A Evans, RH Taylor, M Unberath, MY Liu, CH Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 373 | 2023 |
| Extracting Triangular 3D Models, Materials, and Lighting From Images J Munkberg, J Hasselgren, T Shen, J Gao, W Chen, A Evans, T Müller, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 372 | 2022 |
| Practical Path Guiding for Efficient Light‐Transport Simulation T Müller, M Gross, J Novák Computer Graphics Forum 36 (4), 91-100, 2017 | 158 | 2017 |
| Real-time Neural Radiance Caching for Path Tracing T Müller, F Rousselle, J Novák, A Keller ACM Transactions on Graphics (TOG) 40 (4), 16, 2021 | 139 | 2021 |
| BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects B Wen, J Tremblay, V Blukis, S Tyree, T Müller, A Evans, D Fox, J Kautz, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 137 | 2023 |
| Variable Bitrate Neural Fields T Takikawa, A Evans, J Tremblay, T Müller, M McGuire, A Jacobson, ... ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022 | 131 | 2022 |
| Deep scattering: Rendering atmospheric clouds with radiance-predicting neural networks S Kallweit, T Müller, B McWilliams, M Gross, J Novák ACM Transactions on Graphics (TOG) 36 (6), 231, 2017 | 113 | 2017 |
| A radiative transfer framework for non-exponential media B Bitterli, S Ravichandran, T Müller, M Wrenninge, J Novák, S Marschner, ... ACM Transactions on Graphics (TOG) 37 (6), 1-17, 2018 | 69 | 2018 |
| Efficient rendering of heterogeneous polydisperse granular media T Müller, M Papas, M Gross, W Jarosz, J Novák ACM Transactions on Graphics (TOG) 35 (6), 1-14, 2016 | 65 | 2016 |
| Parallel inversion of neural radiance fields for robust pose estimation Y Lin, T Müller, J Tremblay, B Wen, S Tyree, A Evans, PA Vela, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 9377-9384, 2023 | 62 | 2023 |
| Neural control variates T Müller, F Rousselle, A Keller, J Novák ACM Transactions on Graphics (TOG) 39 (6), 1-19, 2020 | 58 | 2020 |
| Adaptive Shells for Efficient Neural Radiance Field Rendering Z Wang, T Shen, M Nimier-David, N Sharp, J Gao, A Keller, S Fidler, ... arXiv preprint arXiv:2311.10091, 2023 | 57 | 2023 |
| Path guiding in production J Vorba, J Hanika, S Herholz, T Müller, J Křivánek, A Keller ACM SIGGRAPH 2019 Courses, 1-77, 2019 | 51 | 2019 |
| Tiny CUDA Neural Network Framework T Müller https://github.com/nvlabs/tiny-cuda-nn, 2021 | 42* | 2021 |
| RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis J Tremblay, M Meshry, A Evans, J Kautz, A Keller, S Khamis, C Loop, ... arXiv preprint arXiv:2205.07058, 2022 | 32 | 2022 |
| Unbiased inverse volume rendering with differential trackers M Nimier-David, T Müller, A Keller, W Jakob ACM Transactions on Graphics (TOG) 41 (4), 1-20, 2022 | 27 | 2022 |
| Recursive Control Variates for Inverse Rendering B Nicolet, F Rousselle, J Novak, A Keller, W Jakob, T Müller ACM Transactions on Graphics (TOG) 42 (4), 1-13, 2023 | 21 | 2023 |
| "Practical Path Guiding" in Production T Müller ACM SIGGRAPH 2019 Courses, 35-48, 2019 | 20* | 2019 |
Alexander KellerNVIDIAยืนยันอีเมลแล้วที่ nvidia.com