“GaussMR: Interactive Gaussian Splatting Sandbox With GPU Particles and Signed Distance Fields” by Taniguchi
Conference:
Type(s):
Title:
- GaussMR: Interactive Gaussian Splatting Sandbox With GPU Particles and Signed Distance Fields
Presenter(s):
Description:
Our system enhances XR applications by employing 3D Gaussian Splatting as GPU particles for real-time interactions. Capable of processing millions of Gaussians, it integrates advanced physics simulations and achieves high-quality rendering, offering a new level of immersion in virtual environments.
References:
[1]
Thomas Leimkuhler Bernhard Kerbl, Georgios Kopanas and George Drettakis.2023. 3D Gaussian Splatting for Real-Time Radiance Field Rendering. (2023). https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/
[2]
J.J. Monaghan. 1992. Smoothed particle hydrodynamics. https://adsabs.harvard.edu/full/1992ARA%26A.30.543M
[3]
Tan T.-S. Rong, G.2006. Jump flooding in GPU with applications to Voronoi diagram and distance transform. https://doi.org/10.1145/1111411.1111431
[4]
Daiki Taniguchi. 2021. Garage: GPU particle based AR contents for futuristic experience. (2021), 1?2.
[5]
Daiki Taniguchi. 2023. Dimix: A Cross-Dimensional Mixed Reality System Based on Latent Diffusion Model. (2023), 1?2.
