GETA-3DGS is the first automatic joint structured pruning and quantization framework for 3D Gaussian Splatting, achieving roughly 5x storage reduction on standard datasets without per-scene thresholds.
gsplat: An open-source library for gaussian splatting.ArXiv, abs/2409.06765
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UNVERDICTED 5representative citing papers
An end-to-end transcoding pipeline creates 3D Gaussian splatting models from plenoptic point clouds or meshes without original multi-view images, using custom initialization and surface constraints for high-quality output with fewer splats and faster convergence.
Current densification methods in 3D Gaussian Splatting do not significantly benefit from dense initializations and perform similarly to sparse SfM-based ones.
Proposes a physics-based 3D Gaussian framework that disentangles appearance from medium effects for high-quality underwater novel view synthesis and scene restoration.
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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GETA-3DGS: Automatic Joint Structured Pruning and Quantization for 3D Gaussian Splatting
GETA-3DGS is the first automatic joint structured pruning and quantization framework for 3D Gaussian Splatting, achieving roughly 5x storage reduction on standard datasets without per-scene thresholds.
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Transcoding a 3D Gaussian Splatting Model from a Plenoptic Point Cloud or Mesh without the Original Multi-view Images
An end-to-end transcoding pipeline creates 3D Gaussian splatting models from plenoptic point clouds or meshes without original multi-view images, using custom initialization and surface constraints for high-quality output with fewer splats and faster convergence.
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The Role and Relationship of Initialization and Densification in 3D Gaussian Splatting
Current densification methods in 3D Gaussian Splatting do not significantly benefit from dense initializations and perform similarly to sparse SfM-based ones.
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3D-UIR: 3D Gaussian for Underwater 3D Scene Reconstruction via Physics Based Appearance-Medium Decoupling
Proposes a physics-based 3D Gaussian framework that disentangles appearance from medium effects for high-quality underwater novel view synthesis and scene restoration.
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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.