ISALux combines illumination maps and semantic segmentation priors in a transformer with Mixture-of-Experts layers and LoRA, reporting results competitive with state-of-the-art low-light enhancement methods on standard benchmarks.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
ISALux: Illumination and Segmentation Aware Transformer Employing Mixture of Experts for Low Light Image Enhancement
ISALux combines illumination maps and semantic segmentation priors in a transformer with Mixture-of-Experts layers and LoRA, reporting results competitive with state-of-the-art low-light enhancement methods on standard benchmarks.