| Nvisii: A scriptable tool for photorealistic image generation N Morrical, J Tremblay, Y Lin, S Tyree, S Birchfield, V Pascucci, I Wald arXiv preprint arXiv:2105.13962, 2021 | 68 | 2021 |
| RTX beyond ray tracing: Exploring the use of hardware ray tracing cores for tet-mesh point location. I Wald, W Usher, N Morrical, L Lediaev, V Pascucci High Performance Graphics (Short Papers) 7, 13, 2019 | 62 | 2019 |
| Efficient space skipping and adaptive sampling of unstructured volumes using hardware accelerated ray tracing N Morrical, W Usher, I Wald, V Pascucci 2019 IEEE Visualization Conference (VIS), 256-260, 2019 | 46 | 2019 |
| 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 | 32 | 2022 |
| Accelerating unstructured mesh point location with RT cores N Morrical, I Wald, W Usher, V Pascucci IEEE transactions on visualization and computer graphics 28 (8), 2852-2866, 2020 | 29 | 2020 |
| An GPU-accelerated particle tracking method for Eulerian–Lagrangian simulations using hardware ray tracing cores B Wang, I Wald, N Morrical, W Usher, L Mu, K Thompson, R Hughes Computer Physics Communications 271, 108221, 2022 | 23 | 2022 |
| Ray tracing structured AMR data using ExaBricks I Wald, S Zellmann, W Usher, N Morrical, U Lang, V Pascucci IEEE Transactions on Visualization and Computer Graphics 27 (2), 625-634, 2020 | 20 | 2020 |
| AMM: Adaptive multilinear meshes H Bhatia, D Hoang, N Morrical, V Pascucci, PT Bremer, P Lindstrom IEEE Transactions on Visualization and Computer Graphics 28 (6), 2350-2363, 2022 | 19 | 2022 |
| A memory efficient encoding for ray tracing large unstructured data I Wald, N Morrical, S Zellmann IEEE Transactions on Visualization and Computer Graphics 28 (1), 583-592, 2021 | 18 | 2021 |
| Improving the usability of virtual reality neuron tracing with topological elements T McDonald, W Usher, N Morrical, A Gyulassy, S Petruzza, F Federer, ... IEEE transactions on visualization and computer graphics 27 (2), 744-754, 2020 | 18 | 2020 |
| Using hardware ray transforms to accelerate ray/primitive intersections for long, thin primitive types I Wald, N Morrical, S Zellmann, L Ma, W Usher, T Huang, V Pascucci Proceedings of the ACM on Computer Graphics and Interactive Techniques 3 (2 …, 2020 | 15 | 2020 |
| Spatiotemporal Blue Noise Masks. A Wolfe, N Morrical, T Akenine-Möller, R Ramamoorthi, A Ghosh, L Wei EGSR (ST), 117-126, 2022 | 14 | 2022 |
| Ray-traced shell traversal of tetrahedral meshes for direct volume visualization A Şahıstan, S Demirci, N Morrical, S Zellmann, A Aman, I Wald, ... 2021 IEEE Visualization Conference (VIS), 91-95, 2021 | 14 | 2021 |
| Finding Efficient Spatial Distributions for Massively Instanced 3-d Models. S Zellmann, N Morrical, I Wald, V Pascucci EGPGV@ Eurographics/EuroVis, 1-11, 2020 | 11 | 2020 |
| Quick clusters: A GPU-parallel partitioning for efficient path tracing of unstructured volumetric grids N Morrical, A Sahistan, U Güdükbay, I Wald, V Pascucci IEEE Transactions on Visualization and Computer Graphics 29 (1), 537-547, 2022 | 10 | 2022 |
| Point containment queries on ray-tracing cores for AMR flow visualization S Zellmann, D Seifried, N Morrical, I Wald, W Usher, JAP Law-Smith, ... Computing in Science & Engineering 24 (2), 40-51, 2022 | 10 | 2022 |
| A virtual frame buffer abstraction for parallel rendering of large tiled display walls M Han, I Wald, W Usher, N Morrical, A Knoll, V Pascucci, CR Johnson 2020 IEEE Visualization Conference (VIS), 11-15, 2020 | 9 | 2020 |
| Faster RTX-Accelerated Empty Space Skipping using Triangulated Active Region Boundary Geometry. I Wald, S Zellmann, N Morrical EGPGV@ EuroVis, 37-44, 2021 | 8 | 2021 |
| Rtmv: A ray-traced multi-view synthetic dataset for novel view synthesis. IEEE J Tremblay, M Meshry, A Evans, J Kautz, A Keller, S Khamis, C Loop, ... CVF European Conference on Computer Vision Workshop (Learn3DG ECCVW) 2022 (2), 5, 2022 | 7 | 2022 |
| OWL–The Optix 7 Wrapper Library, 2020 I Wald, N Morrical, E Haines URL: https://github. com/owl-project/owl 2, 2022 | 6 | 2022 |
Ingo WaldNVIDIAПотвърден имейл адрес: nvidia.com
