GEMM-GS converts 3DGS blending into GEMM form to use Tensor Cores, yielding 1.42x speedup over vanilla 3DGS and further gains when stacked with prior accelerators.
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U-4DGS reformulates occluded dynamic human rendering as MAP estimation under heteroscedastic noise, using a Probabilistic Deformation Network and uncertainty-modulated joint rasterization plus confidence-aware regularizations to deliver SOTA fidelity and robustness on ZJU-MoCap and OcMotion.
citing papers explorer
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GEMM-GS: Accelerating 3D Gaussian Splatting on Tensor Cores with GEMM-Compatible Blending
GEMM-GS converts 3DGS blending into GEMM form to use Tensor Cores, yielding 1.42x speedup over vanilla 3DGS and further gains when stacked with prior accelerators.
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Uncertainty-Aware 4D Gaussian Splatting for Monocular Occluded Human Rendering
U-4DGS reformulates occluded dynamic human rendering as MAP estimation under heteroscedastic noise, using a Probabilistic Deformation Network and uncertainty-modulated joint rasterization plus confidence-aware regularizations to deliver SOTA fidelity and robustness on ZJU-MoCap and OcMotion.