CVPR 2024 图像处理方向总汇（图像去噪、图像增强、图像分割和图像恢复等）

1、Image Progress(图像处理)    

• 去鬼影
  • Generating Content for HDR Deghosting from Frequency View
• 去阴影
  • HomoFormer: Homogenized Transformer for Image Shadow Removal
• 去模糊
  • Unsupervised Blind Image Deblurring Based on Self-Enhancement
  • Latency Correction for Event-guided Deblurring and Frame Interpolation
  • LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network
  • ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation
  • Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains
    ⭐code
  • AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
    ⭐code
    ⭐code
  • A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning
    ⭐code
• 去雾
  • ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing
  • Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing
  • A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint
    ⭐code
• 去噪
  • Real-World Mobile Image Denoising Dataset with Efficient Baselines
  • GenesisTex: Adapting Image Denoising Diffusion to Texture Space
  • Robust Image Denoising through Adversarial Frequency Mixup
  • Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
  • Masked and Shuffled Blind Spot Denoising for Real-World Images
  • LAN: Learning to Adapt Noise for Image Denoising
  • Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
  • Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation
  • Transfer CLIP for Generalizable Image Denoising
  • Residual Denoising Diffusion Models
    ⭐code
  • Equivariant plug-and-play image reconstruction
    ⭐code
  • Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching
  • Hyper-MD: Mesh Denoising with Customized Parameters Aware of Noise Intensity and Geometric Characteristics
  • Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light Images
    中文简介
• 去雨
  • Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining
    ⭐code
• 去反射
  • Revisiting Single Image Reflection Removal In the Wild
  • Language-guided Image Reflection Separation图像反射分离
• 修图
  • Close Imitation of Expert Retouching for Black-and-White Photography
• 图像增强
  • Color Shift Estimation-and-Correction for Image Enhancement
  • FlowIE：Efficient Image Enhancement via Rectified Flow
  • Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring
  • Specularity Factorization for Low-Light Enhancement
  • Zero-Reference Low-Light Enhancement via Physical Quadruple Priors
    ⭐code
  • Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach
    ⭐code
  • Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance
  • Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving
• 图像恢复
  • Learning Diffusion Texture Priors for Image Restoration
  • CoDe: An Explicit Content Decoupling Framework for Image Restoration
  • Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration
  • Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
  • Look-Up Table Compression for Efficient Image Restoration
  • HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models
  • DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks
  • Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
    ⭐code
  • Deep Equilibrium Diffusion Restoration with Parallel Sampling
    ⭐code
  • Distilling Semantic Priors from SAM to Efficient Image Restoration Models
  • Boosting Image Restoration via Priors from Pre-trained Models