SP-MoMamba uses superpixels to drive content-aware state space modeling and multi-scale mixture-of-experts for efficient single-image super-resolution.
Hvi- cidnet+: Beyond extreme darkness for low-light image enhancement,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2roles
method 1polarities
use method 1representative citing papers
Introduces spatially adaptive modulation with a signal encoder and uncertainty-inspired loss for correcting non-uniform exposure degradations in images.
citing papers explorer
-
SP-MoMamba: Superpixel-driven Mixture of State Space Experts for Efficient Image Super-Resolution
SP-MoMamba uses superpixels to drive content-aware state space modeling and multi-scale mixture-of-experts for efficient single-image super-resolution.
-
Rethinking Exposure Correction for Spatially Non-uniform Degradation
Introduces spatially adaptive modulation with a signal encoder and uncertainty-inspired loss for correcting non-uniform exposure degradations in images.