Sort-free Gaussian Splatting via Weighted Sum Rendering
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Recently, 3D Gaussian Splatting (3DGS) has emerged as a significant advancement in 3D scene reconstruction, attracting considerable attention due to its ability to recover high-fidelity details while maintaining low complexity. Despite the promising results achieved by 3DGS, its rendering performance is constrained by its dependence on costly non-commutative alpha-blending operations. These operations mandate complex view dependent sorting operations that introduce computational overhead, especially on the resource-constrained platforms such as mobile phones. In this paper, we propose Weighted Sum Rendering, which approximates alpha blending with weighted sums, thereby removing the need for sorting. This simplifies implementation, delivers superior performance, and eliminates the "popping" artifacts caused by sorting. Experimental results show that optimizing a generalized Gaussian splatting formulation to the new differentiable rendering yields competitive image quality. The method was implemented and tested in a mobile device GPU, achieving on average $1.23\times$ faster rendering.
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Cited by 4 Pith papers
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Splaxel: Efficient Distributed Training of 3D Gaussian Splatting for Large-scale Scene Reconstruction via Pixel-level Communication
Splaxel achieves up to 7.6x speedup in distributed 3DGS training on scenes with up to 120M Gaussians by using pixel-level communication and visibility prediction while preserving reconstruction quality.
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Depth Peeling for High-Fidelity Gaussian-Enhanced Surfel Rendering
DP-GES augments Gaussian-enhanced surfels with semi-transparent boundaries and uses depth peeling for per-pixel ordering to enable sort-free rendering with correct transmittance and reduced artifacts.
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Softmax-GS: Generalized Gaussians Learning When to Blend or Bound
Softmax-GS generalizes 3D Gaussians with learnable softmax competition in overlaps to enable a spectrum from blending to crisp edges while preserving order invariance and transmittance.
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SparseOIT: Improving Order-Independent Transparency 3DGS via Active Set Method
SparseOIT uses active set optimization on sparse dependencies from OIT-modified 3DGS rendering equations to improve reconstruction speed and quality for transparent materials.
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