A dynamic training framework for 3D Gaussian Splatting alternates incremental pruning and adaptive growing of primitives to maintain high rendering quality at up to 80% lower peak memory than standard 3DGS.
Flashgs: Efficient 3d gaussian splatting for large-scale and high-resolution rendering.ArXiv, abs/2408.07967
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DREME-GSMR uses 3D Gaussian representations of anatomy and low-rank motion to reconstruct time-resolved MR volumes at 400 ms resolution and enable 10 ms real-time motion tracking, with reported SSIM of 0.92 and sub-millimeter errors on phantoms and patients.
Turbo-GS accelerates 3D Gaussian Splatting training via dilated rendering of pixel subsets, convergence-aware Gaussian budget allocation, and combined positional-appearance error densification to enable faster 4K fitting with preserved or improved rendering quality.
citing papers explorer
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Gaussians on a Diet: High-Quality Memory-Bounded 3D Gaussian Splatting Training
A dynamic training framework for 3D Gaussian Splatting alternates incremental pruning and adaptive growing of primitives to maintain high rendering quality at up to 80% lower peak memory than standard 3DGS.
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Spatiotemporal Gaussian representation-based dynamic reconstruction and motion estimation framework for time-resolved volumetric MR imaging (DREME-GSMR)
DREME-GSMR uses 3D Gaussian representations of anatomy and low-rank motion to reconstruct time-resolved MR volumes at 400 ms resolution and enable 10 ms real-time motion tracking, with reported SSIM of 0.92 and sub-millimeter errors on phantoms and patients.
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Turbo-GS: Accelerating 3D Gaussian Fitting for High-Quality Radiance Fields
Turbo-GS accelerates 3D Gaussian Splatting training via dilated rendering of pixel subsets, convergence-aware Gaussian budget allocation, and combined positional-appearance error densification to enable faster 4K fitting with preserved or improved rendering quality.