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Introduction to 3D Gaussian Splatting
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SUCCESS-GS: Survey of Compactness and Compression for Efficient Static and Dynamic Gaussian Splatting
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Geometry beneath the Waves: Dense Priors for Sparse-View Underwater 3D Gaussian Splatting
arXiv:2609.18737v1 Announce Type: new Abstract: Underwater 3D reconstruction supports applications ranging from marine ecosystem monitoring and subsea inspection to underwater archaeology, education,...
arXiv Machine Learning
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Geometry Gaussians: Decoupling Appearance and Geometry in Gaussian Splatting
arXiv:2606. 05124v1 Announce Type: cross Abstract: After the success of 3D Gaussian Splatting (3DGS) for novel view synthesis, many works have explored how to also use it for geometric surface representation.
arXiv AI
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TruncGradGS: Improved 3D Gaussian Splatting via Truncated Gradient Updates
The paper introduces TruncGradGS, a piecewise truncated gradient approach that mitigates gradient vanishing in 3D Gaussian Splatting, enhancing optimization stability and robustness to initializations. It demonstrates consistent improvements over random and COLMAP initializations in both static and dynamic settings. Additionally, the authors highlight limitations of existing dynamic scene benchmarks and present a new synthetic dataset for evaluating dynamic Gaussian Splatting.
arXiv Computer Vision
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Transforming harmonic coefficients for 3D splat compression
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arXiv Computer Vision
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VersaGauss: A Versatile Framework for Generating Multiphase Dynamics with 3D Gaussians
VersaGauss is a unified framework that generates, simulates, and renders 3D dynamic scenes using 3D Gaussians, supporting multiphase interactions among materials such as fluid, rubber, sand, and snow. It takes a few input images and produces realistic, physics-driven scenes, employing a particle pruning algorithm to optimize Gaussian kernel distribution and a Coupled Multiphase Point Method (CMPM) for modeling multiphase dynamics. The framework also introduces harmonic interpolation within CMPM and a Gaussian evolution strategy to achieve realistic fluid rendering, with extensive experiments validating its performance.