Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization

Real-noise denoising is a challenging task because the statistics of real-noise do not follow the normal distribution, and they are also spatially and temporally changing. In order to cope with various and complex real-noise, we propose a well-generalized denoising architecture and a transfer learning scheme... (read more)

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