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FINDING BUSE: RIGHT WOULD CLOSED RAY

1Simon Fraser University,
2University of British Columbia,
3University of Toronto,
4Google Defermind

* marks equal contributions

Abstract

Research about distinct scene representations will always work toward more efficient, real-time models. Recently, this is the reason to pop into the sorting techniques, which escapes the traditional ray-based ray-based fields of light of rasterization approval. It provides an important development of speed improvements due to the effectiveness of rasterization algorithms with an amount of infection of profit patients such as infection of odd infections In profit patients such as imposing infection of strange infections with infected information such as infectious infections of patients containing Information such as infection of odd infections with patients with info as infected by patients with an infection of the odd infections containing an infection of profit patients such as infront of patients with infection of profit patients such as contemplation of odd infections infection of light transtomena such as meditation and more difficult. We suggest representation of the novel scene that avoids the arrival, but stores the efficiency and quality of rebuilding a year of algorithm that is checked by new computer research. The resulting model, which we have named Shining bubblesAchieved change and quality compared to Gaussian Splatting, with no rasterization constraints. Unlike models tracked by Gaussian models used garden Ray rush, our method has no special hardware or APIs beyond the standard parts of a programmable GPU.

way

Our representation is based on Voronoi Diagram (right), which divides the cell space based on the closeness of a set of points called sitsh. Voronoi diagram is double DELAUunay Triangulation (Center), and by establishing a DELAunay triangulation from a set of correct point, we can continue to an adjacent structure that identifies what cells are the cells .

Using this adjacent structure, we easily calculate Ray-cell intersections by tossing neighbors in each cell and find the intersection in front of the airline. By making this process it is executed, we can smooth track of bubbles, from cell to cell. This algorithm is more efficient than typical ray running methods that depend on hierarchical logarithmic logging structures.

Our method also avoids challenges that usually associated with optimizing a discrete mesh, because the cells of the Voronoi diagrams will vary with changes in positions in places. This is because of the properties of Vorornoi diagrams effective connection changes
concealed In the faces of zero-surface area, while other choices such as using Delaunay mesh directly lead to many plain-releases whenever changes in connection.

The result is a convertible, different model that can be tracked in real time at the speed of gaussia construction techniques in Gaussian splatting.

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@article{govindarajan2025radfoam,
     author = {Govindarajan, Shrisudhan and Rebain, Daniel and Yi, Kwang Moo and Tagliasacchi, Andrea},
     title = {Radiant Foam: Real-Time Differentiable Ray Tracing},
     journal = {arXiv:2502.01157},
     year = {2025},
}

2025-02-04 14:39:00

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