🧠 Mixture of Experts

🔬 ICLR2026 · 1 paper notes

MoE-GS: Mixture of Experts for Dynamic Gaussian Splatting

This paper proposes MoE-GS, the first framework to introduce a Mixture-of-Experts architecture into dynamic Gaussian Splatting. Through a Volume-aware Pixel Router, it adaptively fuses multiple heterogeneous deformation priors (HexPlane / per-Gaussian / polynomial / interpolation), consistently surpassing state-of-the-art methods on the N3V and Technicolor datasets, while maintaining efficiency via single-pass rendering, gate-aware pruning, and knowledge distillation.