Public articles linked to the same research event.
arXiv VolS-GS turns the spatial support of a Gaussian scene into an occupancy field on a coarse grid and runs a differentiable finite-volume light-transport solve on it, with a small network predicting per-Gaussian scattering and absorption coefficients so light can propagate through the object's interior; across three OLAT benchmarks it consistently improves relighting quality on held-out lights and views over GS3, SSS-GS, RNG, and SSD-GS.
VolS-GS turns the spatial support of a Gaussian scene into an occupancy field on a coarse grid and runs a differentiable finite-volume light-transport solve on it, with a small network predicting per-Gaussian scattering and absorption coefficients so light can propagate through the object's interior; across three OLAT benchmarks it consistently improves relighting quality on held-out lights and views over GS3, SSS-GS, RNG, and SSD-GS.
VolS-GS turns the spatial support of a Gaussian scene into an occupancy field on a coarse grid and runs a differentiable finite-volume light-transport solve on it, with a small network predicting per-Gaussian scattering and absorption coefficients so light can propagate through the object's interior; across three OLAT benchmarks it consistently improves relighting quality on held-out lights and views over GS3, SSS-GS, RNG, and SSD-GS.
VolS-GS turns the spatial support of a Gaussian scene into an occupancy field on a coarse grid and runs a differentiable finite-volume light-transport solve on it, with a small network predicting per-Gaussian scattering and absorption coefficients so light can propagate through the object's interior; across three OLAT benchmarks it consistently improves relighting quality on held-out lights and views over GS3, SSS-GS, RNG, and SSD-GS.