Dimensions overall score 8.0

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• The proposed Efficient Gaussian Streaming (EGS) method improves PSNR by +0.52–0.61 dB while running 1.29–1.35× faster than IGS@8192 when using only 256 anchors on unseen data.result 95%
• EGS uses a reinforcement-learned policy to jointly select anchor budget and informative anchors under discrete constraints.method 90%
• Existing pipelines using fixed anchor selection with 8,192 anchors over-allocate computation under strict budgets regardless of scene complexity.limitation 85%
• EGS is a plug-in component that can replace FPS sampling while keeping the Gaussian streaming reconstruction backbone unchanged.technical 90%
• The reinforcement-learned policy balances reconstruction quality and runtime using spatial features of the Gaussian representation.method 85%
• EGS shows consistent improvements in the quality-efficiency trade-off over FPS sampling on dynamic multi-view datasets.result 80%
• In high-quality refinement mode, EGS remains competitive with the full-anchor baseline at substantially lower anchor budgets.result 80%
• EGS operates in two distinct settings: fast rendering (prioritizing runtime) and high-quality refinement (enabling additional optimization).technical 90%

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