SOTAVerified

Image Restoration

Image Restoration is a family of inverse problems for obtaining a high quality image from a corrupted input image. Corruption may occur due to the image-capture process (e.g., noise, lens blur), post-processing (e.g., JPEG compression), or photography in non-ideal conditions (e.g., haze, motion blur).

Source: Blind Image Restoration without Prior Knowledge

Papers

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Showing 1101–1150 of 1459 papers

TitleStatusHype
Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning—0
Rethinking Atmospheric Turbulence Mitigation—0
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information—0
Rethinking RGB Color Representation for Image Restoration Models—0
Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation—0
RetinaRegen: A Hybrid Model for Readability and Detail Restoration in Fundus Images—0
Reversible Adversarial Attack based on Reversible Image Transformation—0
Reversing Flow for Image Restoration—0
Review Learning: Advancing All-in-One Ultra-High-Definition Image Restoration Training Method—0
Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond—0
Revisiting loss-specific training of filter-based MRFs for image restoration—0
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection—0
Robust Kernel Estimation With Outliers Handling for Image Deblurring—0
Robust Skin Color Driven Privacy Preserving Face Recognition via Function Secret Sharing—0
RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image Dehazing—0
SANDFORMER: CNN and Transformer under Gated Fusion for Sand Dust Image Restoration—0
Learning to See Through Dazzle—0
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild—0
Searching for Controllable Image Restoration Networks—0
Secondary complementary balancing compressive imaging with a free-space balanced amplified photodetector—0
Secret Lies in Color: Enhancing AI-Generated Images Detection with Color Distribution Analysis—0
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training—0
Segmentation and Restoration of Images on Surfaces by Parametric Active Contours with Topology Changes—0
Segmentation Guided Sparse Transformer for Under-Display Camera Image Restoration—0
Cooperative Semantic Segmentation and Image Restoration in Adverse Environmental Conditions—0
Self-Committee Approach for Image Restoration Problems using Convolutional Neural Network—0
Self-Organized Operational Neural Networks for Severe Image Restoration Problems—0
Self-Organized Residual Blocks for Image Super-Resolution—0
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems—0
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems—0
Self-supervised Hyperspectral Image Restoration using Separable Image Prior—0
Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising—0
Rapid Bone Scintigraphy Enhancement via Semantic Prior Distillation from Segment Anything Model—0
Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution—0
Semi-supervised atmospheric component learning in low-light image problem—0
Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models—0
Shape Estimation from Defocus Cue for Microscopy Images via Belief Propagation—0
Shape from Semantics: 3D Shape Generation from Multi-View Semantics—0
Shrinkage Fields for Effective Image Restoration—0
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers—0
SIDL: A Real-World Dataset for Restoring Smartphone Images with Dirty Lenses—0
SILO: Solving Inverse Problems with Latent Operators—0
Simultaneous Inpainting and Denoising by Directional Global Three-part Decomposition: Connecting Variational and Fourier Domain Based Image Processing—0
Single Cell Training on Architecture Search for Image Denoising—0
Single Image Restoration for Participating Media Based on Prior Fusion—0
SIR-DIFF: Sparse Image Sets Restoration with Multi-View Diffusion Model—0
Snow Mask Guided Adaptive Residual Network for Image Snow Removal—0
Soft-IntroVAE for Continuous Latent space Image Super-Resolution—0
Soft Knowledge Distillation with Multi-Dimensional Cross-Net Attention for Image Restoration Models Compression—0
Solar Image Restoration with the Cycle-GAN Based on Multi-Fractal Properties of Texture Features—0
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All datasetsCDD-11UHDM.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72—Unverified
2SRUDCAverage PSNR (dB)27.64—Unverified
3RestormerAverage PSNR (dB)26.99—Unverified
4WGWSNetAverage PSNR (dB)26.96—Unverified
5DGUNetAverage PSNR (dB)26.92—Unverified
6OKNetAverage PSNR (dB)26.33—Unverified
7MIRNetAverage PSNR (dB)25.97—Unverified
8PromptIRAverage PSNR (dB)25.9—Unverified
9MPRNetAverage PSNR (dB)25.47—Unverified
10MIRNetv2Average PSNR (dB)25.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42—Unverified
2ESDNetPSNR22.12—Unverified
#ModelMetricClaimedVerifiedStatus
1730L37—Unverified