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TruncGradGS: Improved 3D Gaussian Splatting via Truncated Gradient Updates
3D Gaussian Splatting has become a de facto scene representation for novel view synthesis, yet robustly learning 3D Gaussian primitives from visual input remains challenging. Standard optimization relies on gradient-based updates, but a common issue is the gradient vanishing phenomenon: a pixel far from a Gaussian primitive often has diminishing gradient magnitudes to influence primitive attributes, resulting in suboptimal scene reconstruction. In this paper, we propose a method to address gradient vanishing with a piecewise truncated gradient formulation that improves the optimization stabili
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T08:34:27.000Z
First collected: 2026-09-21T04:51:57.792Z. This is not the publication date.