| 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 | 939 | 2022 |
| Neural importance sampling T Müller, B McWilliams, F Rousselle, M Gross, J Novák ACM Transactions on Graphics (TOG) 38 (5), 145, 2019 | 274 | 2019 |
| Practical Path Guiding for Efficient Light‐Transport Simulation T Müller, M Gross, J Novák Computer Graphics Forum 36 (4), 91-100, 2017 | 131 | 2017 |
| 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 | 119 | 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 | 91 | 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 | 68 | 2021 |
| 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 | 61 | 2016 |
| 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 | 54 | 2018 |
| Neural control variates T Müller, F Rousselle, A Keller, J Novák ACM Transactions on Graphics (TOG) 39 (6), 1-19, 2020 | 45 | 2020 |
| Path guiding in production J Vorba, J Hanika, S Herholz, T Müller, J Křivánek, A Keller ACM SIGGRAPH 2019 Courses, 1-77, 2019 | 44 | 2019 |
| Variable Bitrate Neural Fields T Takikawa, A Evans, J Tremblay, T Müller, M McGuire, A Jacobson, ... ACM SIGGRAPH 2022 Conference Proceedings, 1-9, 2022 | 34 | 2022 |
| Tiny CUDA Neural Network Framework T Müller https://github.com/nvlabs/tiny-cuda-nn, 2021 | 33* | 2021 |
| "Practical Path Guiding" in Production T Müller ACM SIGGRAPH 2019 Courses, 35-48, 2019 | 15* | 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 | 11 | 2023 |
| 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 | 10 | 2023 |
| 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 | 8 | 2023 |
| 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 | 8 | 2022 |
| 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 | 7 | 2022 |
| Practical Product Sampling by Fitting and Composing Warps D Hart, M Pharr, T Müller, W Lopes, M McGuire, P Shirley Computer Graphics Forum 39 (4), 149-158, 2020 | 7 | 2020 |
| Instant Neural Radiance Fields T Müller, A Evans, C Schied, M Foco, A Bódis-Szomorú, I Deutsch, ... ACM SIGGRAPH 2022 Real-Time Live!, 1-2, 2022 | 6 | 2022 |
Alexander KellerNVIDIAVerified email at nvidia.com
