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  • [2411. 17067] Geometry Field Splatting with Gaussian Surfels - arXiv. org
    We leverage the geometry field proposed in recent work for stochastic opaque surfaces, which can then be converted to volume densities We adapt Gaussian kernels or surfels to splat the geometry field rather than the volume, enabling precise reconstruction of opaque solids
  • Geometry Field Splatting with Gaussian Surfels - GitHub
    We leverage the geometry field proposed in recent work for stochastic opaque surfaces, which can then be converted to volume densities We adapt Gaussian kernels or surfels to splat the geometry field rather than the volume, enabling precise reconstruction of opaque solids
  • [2411. 17067] Geometry Field Splatting with Gaussian Surfels
    In this paper, we propose to first define a stochastic geometry field in the space with Gaussian surfels, then convert it into the density field, and render it with an efficient and differentiable refined splatting algorithm for accurate geometry reconstruction
  • Geometry Field Splatting with Gaussian Surfels
    exact differentiable rendering algorithm for geometry fields parameterized by Gaussian surfels, while removing current approximations involving Taylor series and no self-attenuation
  • Geometry Field Splatting with Gaussian Surfels | Cool Papers . . .
    We adapt Gaussian kernels or surfels to splat the geometry field rather than the volume, enabling precise reconstruction of opaque solids Our first contribution is to derive an efficient and almost exact differentiable rendering algorithm for geometry fields parameterized by Gaussian surfels, while removing current approximations involving
  • Geometry Field Splatting with Gaussian Surfels
    In this paper, we adapt a modern volumetric representa-tion based on Gaussian kernels to splat the geometry field that provides precise geometry for reconstructing opaque solids
  • Geometry Field Splatting with Gaussian Surfels
    We leverage the geometry field proposed in recent work for stochastic opaque surfaces, which can then be converted to volume densities We adapt Gaussian kernels or surfels to splat the geometry field rather than the volume, enabling precise reconstruction of opaque solids





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