Image Denoise
- Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
- Brief review of image denoising techniques
- Toward Convolutional Blind Denoising of Real Photographs
- Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and Latency
- Benchmarking Denoising Algorithms with Real Photographs
- Deep Learning for Image Denoising: A Survey
- Deep Learning on Image Denoising An overview
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
- Dynamic Residual Dense Network for Image Denoising
- Aligned Structured Sparsity Learning for Efficient Image Super-Resolution
- FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising
- Image Blind Denoising With Generative Adversarial Network Based Noise Modeling
- HINet: Half Instance Normalization Network for Image Restoration
- Learning Deep CNN Denoiser Prior for Image Restoration
- Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation
- Neural Nearest Neighbors Network
- Practical Deep Raw Image Denoising on Mobile Devices
- Generalized Deep Image to Image Regression
- Real Image Denoising with Feature Attention
- Spatial-Adaptive Network for Single Image Denoising
- A High-Quality Denoising Dataset for Smartphone Cameras
- Robust Image Denoising with Texture-Aware Neural Network
- Unprocessing Images for Learned Raw Denoising
- Noise2Noise: Learning Image Restoration without Clean Data