CVPR2022 底层视觉 | 图像处理
图像去雾
Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition [pdf][code]
Towards Multi-Domain Single Image Dehazing via Test-Time Training [pdf]
Image Dehazing Transformer With Transmission-Aware 3D Position Embedding [pdf] [supp][arXiv] [code]
图像去雨
Unpaired Deep Image Deraining Using Dual Contrastive Learning [pdf] [arXiv]
Dreaming To Prune Image Deraining Networks [pdf] [supp]
Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity [pdf] [supp] [arXiv]
超分辨率
BasicVSR++: Improving Video Super-Resolution With Enhanced Propagation and Alignment [pdf] [supp]
Investigating Tradeoffs in Real-World Video Super-Resolution [pdf] [supp] [arXiv]
Texture-Based Error Analysis for Image Super-Resolution [pdf]
Task Decoupled Framework for Reference-Based Super-Resolution [pdf] [supp]
Reflash Dropout in Image Super-Resolution [pdf] [supp] [arXiv]
Learning the Degradation Distribution for Blind Image Super-Resolution [pdf] [arXiv]
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution [pdf] [supp] [arXiv][code]
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution [pdf] [arXiv]
VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution [pdf] [supp]
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution [pdf] [supp] [arXiv]
Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel [pdf] [supp] [arXiv][code]
A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-Resolution [pdf] [supp] [arXiv][code]
Deep Constrained Least Squares for Blind Image Super-Resolution [pdf] [supp] [arXiv]
Look Back and Forth: Video Super-Resolution With Explicit Temporal Difference Modeling [pdf] [arXiv]
Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence [paper]
HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening [paper][code]
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging [paper]
低光照增强
Toward Fast, Flexible, and Robust Low-Light Image Enhancement [paper] [code]
Deep Color Consistent Network for Low-Light Image Enhancement [paper]
URetinex-Net: Retinex-based Deep Unfolding Network for Low-light Image Enhancement [paper][code]
图像去噪
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network [paper] [code]
IDR: Self-Supervised Image Denoising via Iterative Data Refinement [paper] [code]
Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots [paper] [code]
图像复原
Exploring and Evaluating Image Restoration Potential in Dynamic Scenes [paper]
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction [paper]
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction [paper] [code]
Restormer: Efficient Transformer for High-Resolution Image Restoration [paper] [code]
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network [paper]
文章来源：CVPR2022 底层视觉 | 图像处理 - 知乎