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Found 4 papers, 4 papers with code
Underwater Image Enhancement via Learning Water Type Desensitized Representations
Specifically, we apply whitening to de-correlate activations across spatial dimensions for each instance in a mini-batch.
Learning a Simple Low-Light Image Enhancer From Paired Low-Light Instances
Those solutions, however, often fail in revealing image details due to the limited information in a single image and the poor adaptability of handcrafted priors.
Ranked #2 on
Low-Light Image Enhancement
on VV
Uncertainty Inspired Underwater Image Enhancement
After that, we adopt a consensus process to predict a deterministic result based on a set of samples from the distribution.
Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement
Our approach, termed Twice Mixing, is motivated by the observation that a mid-quality image can be generated by mixing a high-quality image with its low-quality version.
