A diffusion-embedding quality scorer quantizes labels into noise levels for level-wise supervision and adds Fourier high-frequency refinement to improve underwater image enhancement despite unstable paired labels.
Five a+ network: You only need 9k parameters for underwater image enhance- ment.arXiv preprint arXiv:2305.08824, 2023
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RQUL-UIE: Revitalizing Quality-Unstable Labels for Underwater Image Enhancement via In-Dataset Self-Supervision
A diffusion-embedding quality scorer quantizes labels into noise levels for level-wise supervision and adds Fourier high-frequency refinement to improve underwater image enhancement despite unstable paired labels.