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Found 2 papers, 2 papers with code
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network
Extensive studies demonstrate that our method outperforms the other self-supervised and even unpaired denoising methods by a large margin, without using any additional knowledge, e. g., noise level, regarding the underlying unknown noise.
C2N: Practical Generative Noise Modeling for Real-World Denoising
In a practical scenario, a noise generator should learn to simulate the general and complex noise distribution without using paired noisy and clean images.
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