CVPR、ICCV、NeurIPS 2021；WACV、AAAI、CVPR2022-去噪系列文章

CVPR2021

• Adaptive Consistency Prior based Deep Network for Image Denoising
• Beyond Joint Demosaicking and Denoising An Image Processing Pipeline for a Pixel-bin Image Sensor
• Deep Convolutional Dictionary Learning for Image Denoising
• Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal Fusion
• End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution
• Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge Report
• HDRUNet Single Image HDR Reconstruction with Denoising and Dequantization
• HINet Half Instance Normalization Network for Image Restoration
• Improved Noise2Noise Denoising with Limited Data
• Invertible Denoising Network A Light Solution for Real Noise Removal
• Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise
• Multi-Stage Progressive Image Restoration
• NBNet Noise Basis Learning for Image Denoising With Subspace Projection
• Neighbor2Neighbor Self-Supervised Denoising From Single Noisy Images
• Pre-Trained Image Processing Transformer
• Pseudo 3D Auto-Correlation Network for Real Image Denoising
• Recorrupted-to-Recorrupted Unsupervised Deep Learning for Image Denoising
• Restore from Restored Video Restoration with Pseudo Clean Video
• Toward Interactive Modulation for Photo-Realistic Image Restoration
• Zero-shot Single Image Restoration through Controlled Perturbation of Koschmieder’s Model
• New Trends in Image Restoration and Enhancement

ICCV 2021

• Eformer: Edge Enhancement based Transformer for Medical Image Denoising
• Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
• Rethinking Deep Image Prior for Denoising
• Dynamic Attentive Graph Learning for Image Restoration
• Real-time Image Enhancer via Learnable Spatial-aware 3D Lookup Tables
• StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement
• Spatially-Adaptive Image Restoration using Distortion-Guided Networks
• C2N: Practical Generative Noise Modeling for Real-World Denoising
• Self-Supervised Image Prior Learning With GMM From a Single Noisy Image
• Cross-Patch Graph Convolutional Network for Image Denoising
• Patch Craft: Video Denoising by Deep Modeling and Patch Matching
• Hyperspectral Image Denoising With Realistic Data
• Unsupervised Deep Video Denoising
• Searching for Controllable Image Restoration Networks
• SwinIR: Image Restoration Using Swin Transformer
• High Perceptual Quality Image Denoising With a Posterior Sampling CGAN
• Stochastic Image Denoising by Sampling From the Posterior Distribution

NeurIPS 2021

• Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images
• Unfolding Taylor’s Approximations for Image Restoration
• Functional Neural Networks for Parametric Image Restoration Problems
• A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration

AAAI 2022

• Generative Adaptive Convolutions for Real-World Noisy Image Denoising
• ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising
• Transcoded Video Restoration by Temporal Spatial Auxiliary Network
• Unsupervised Underwater Image Restoration: From a Homology Perspective
• SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers

WACV 2022

目录：https://openaccess.thecvf.com/menu

• Weakly Supervised Learning for Joint Image Denoising and Protein Localization in Cryo-Electron Microscopy
• Image Restoration by Deep Projected GSURE
• [ ]

CVPR 2022

• IDR: Self-Supervised Image Denoising via Iterative Data Refinement
• Restormer: Efficient Transformer for High-resolution Image Restoration
• Uformer: A General U-shaped Transformer for Image Restoration
• Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots
• MAXIM: Multi-Axis MLP for Image Processing
• All-in-One Image Restoration for Unknown Corruption
• Neural Compression-Based Feature Learning for Video Restoration
• CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image
• AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network
• ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
• Exploring and Evaluating Image Restoration Potential in Dynamic Scenes
• 超分辨率
• BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment