RDBM reformulates generalized diffusion bridge SDEs to use distribution residuals for adaptive noise modulation, unifying prior bridge models as special cases and achieving SOTA on image restoration tasks.
Image quality assessment: from error visibility to structural similarity.IEEE TIP, 13(4):600–612
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The NTIRE 2026 E-LLIE challenge evaluated 27 lightweight models for low-light image enhancement and reported advances in balancing quality with mobile efficiency.
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Residual Diffusion Bridge Model for Image Restoration
RDBM reformulates generalized diffusion bridge SDEs to use distribution residuals for adaptive noise modulation, unifying prior bridge models as special cases and achieving SOTA on image restoration tasks.
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NTIRE 2026 Challenge on Efficient Low Light Image Enhancement: Methods and Results
The NTIRE 2026 E-LLIE challenge evaluated 27 lightweight models for low-light image enhancement and reported advances in balancing quality with mobile efficiency.