SplatWeaver uses cardinality Gaussian experts and pixel-level routing to dynamically allocate varying numbers of Gaussian primitives for generalizable novel view synthesis.
Unirestorer: Universal image restoration via adaptively estimating image degradation at proper granularity
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DAME-Net decouples explicit per-factor degradation perception from conditioned reconstruction via a Mixture-of-Experts architecture, achieving better compositional UAV image restoration than unified methods on the new MDUR benchmark with 43 degradation configurations.
citing papers explorer
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SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis
SplatWeaver uses cardinality Gaussian experts and pixel-level routing to dynamically allocate varying numbers of Gaussian primitives for generalizable novel view synthesis.
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Compositional-Degradation UAV Image Restoration: Conditional Decoupled MoE Network and A Benchmark
DAME-Net decouples explicit per-factor degradation perception from conditioned reconstruction via a Mixture-of-Experts architecture, achieving better compositional UAV image restoration than unified methods on the new MDUR benchmark with 43 degradation configurations.