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TurboGS: Accelerating 3D Gaussian Splatting via Error-Guided Sparse Pixel Sampling and Optimization

TurboGS claims up to a 10x training speedup for 3D Gaussian Splatting by skipping redundant pixels and focusing optimization on error-heavy regions. For graphics teams, the interesting part is that it keeps quality on par or better while cutting training to about 100 seconds on a single RTX 5090. The paper also adds density control and a hybrid optimizer to keep sparse supervision stable.

First reported 3 months, 1 week ago • 3d gaussian splatting gaussian splatting graphics research training optimization
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arXiv cs.GR arXiv cs.GR

TurboGS: Accelerating 3D Gaussian Splatting via Error-Guided Sparse Pixel Sampling and Optimization

3 months, 1 week ago Read source
arXiv cs.GR arXiv cs.GR 1% match

Edit3DGS: Unified Framework for Dynamic Head Editing via 2D Instruction-Guided Diffusion and 3D Gaussian Splatting

3 months, 1 week ago Read source
arXiv cs.GR arXiv cs.GR 1% match

Renderable Partial Representations for Dynamic Gaussian Splatting under Incomplete Delivery

3 months, 1 week ago Read source