SDFRaster optimizes a continuous SDF on a Delaunay tetrahedral grid, renders it by rasterizing tetrahedra, and integrates differentiable Marching Tetrahedra for end-to-end mesh reconstruction without post-processing.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
A hybrid Gaussian-hash-grid representation with latent features and hard opacity falloffs reconstructs scenes more accurately than prior Gaussian splatting methods while using an order of magnitude fewer primitives.
citing papers explorer
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Distance Field Rasterization for End-to-End Mesh Reconstruction
SDFRaster optimizes a continuous SDF on a Delaunay tetrahedral grid, renders it by rasterizing tetrahedra, and integrates differentiable Marching Tetrahedra for end-to-end mesh reconstruction without post-processing.
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Hybrid Latents: Geometry-Appearance-Aware Surfel Splatting
A hybrid Gaussian-hash-grid representation with latent features and hard opacity falloffs reconstructs scenes more accurately than prior Gaussian splatting methods while using an order of magnitude fewer primitives.