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Jul 2026

LoTA-N2N: Local Trace Adaptation for Zero-Shot Self-Supervised Image Denoising

LoTA-N2N demonstrates that estimated local interaction and spatial cancellation control provide effective design principles for single-image self-supervised denoising without paired clean targets, repeated acquisitions, or a predefined re-corruption model.

Jintong Hu, Bin Xia, Jun-Lin Liu et al. · 0 citations

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