
N-BVH: Neural ray queries with bounding volume hierarchies
Source code of the paper "N-BVH: Neural ray queries with bounding volume hierarchies" by Philippe Weier, Alexander Rath, Élie Michel, Iliyan Georgiev, Philipp Slusallek, Tamy Boubekeur at SIGGRAPH 2024. You can find the original paper and supplemental viewer on the project webpage. We tested our implementation with the following configuration:
Releases · WeiPhil/nbvh - GitHub
Binary release for RTX 2000, RTX 3000 and RTX 4000 (compute capability 7.5, 8.6 and 8.9). Note that other Nvidia GPUs with equivalent compute capability might also work but weren't …
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\nbvh: Neural ray queries with bounding volume hierarchies
2024年5月25日 · In this paper, we propose a new neural representation for 3D scene models designed specifically for ray queries that blends naturally into a typical ray tracer. Our key observation is that any neural compression model can be optimized efficiently as long as it is trained on samples that live close to the signal of interest.
N-BVH: Neural ray queries with bounding volume hierarchies
2024年5月25日 · In the context of rendering, we adopt a ray-centric approach to this problem and devise N-BVH, a neural compression architecture designed to answer arbitrary ray queries in 3D. Our compact model is learned from the input geometry and substituted for it whenever a ray intersection is queried by a path-tracing engine.
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