Mixture-of-experts routing
GLARE
GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval
Superseded baseline#311 of 1,370 most-superseded · first seen Jul 17, 2024
Superseded — cited as a baseline and beaten by newer methods
0 papers critique it · 1 beat it on benchmarks
Beaten on benchmarks
Head-to-head results where a newer method reports beating GLARE. Values are copied from the source paper's tables — verify against the cited paper.
ISALux beats GLARE
3.34 vs 3.99
Average NIQE · [No-Reference Datasets (MEF, LIME, DICM, NPE)]
ISALux: Illumination and Segmentation Aware Transformer Employing Mixture of Experts for Low Light Image Enhancement
What to use instead
Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.