arXiv AI By Theo Morales, Nhat-Quynh Le-Pham, Robin Atkins, Binh-Son Hua

TruncGradGS: Improved 3D Gaussian Splatting via Truncated Gradient Updates

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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.

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