真实图像去噪

1. Path-Restore: Learning Network Path Selection for Image Restoration（商汤）
2. PRIDNet: Pyramid Real Image Denoising Network
3. RIDNet: A Multi-Level Network for Real Image Denoising
4. PD: When AWGN-based Denoiser Meets Real Noises（旷世）
5. CBDNet: Toward Convolution Blind Denoising of Real Photographs（张凯）

高斯噪声去噪

1. Residual Dense Network for Image Restoration

2. FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising

3. Multi-level Wavelet-CNN for Image Restoration

参考：

papers with code: https://paperswithcode.com/task/denoising