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

Showing 426450 of 1459 papers

TitleStatusHype
Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video DatasetCode1
Spatio-Temporal SAR-Optical Data Fusion for Cloud Removal via a Deep Hierarchical ModelCode1
DRT: A Lightweight Single Image Deraining Recursive TransformerCode1
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image RestorationCode1
Attention Cube Network for Image RestorationCode1
All-in-One Image Compression and RestorationCode1
Single Underwater Image Restoration by Contrastive LearningCode1
Dual Pixel Exploration: Simultaneous Depth Estimation and Image RestorationCode1
A Mountain-Shaped Single-Stage Network for Accurate Image RestorationCode1
SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-SimilarityCode1
Adaptive Blind All-in-One Image RestorationCode1
Stochastic Frequency Masking to Improve Super-Resolution and Denoising NetworksCode1
GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant AttentionCode1
FriendNet: Detection-Friendly Dehazing NetworkCode1
Style-Guided Shadow RemovalCode1
Freqformer: Image-Demoiréing Transformer via Efficient Frequency DecompositionCode1
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image RestorationCode1
Forward-only Diffusion Probabilistic ModelsCode1
A Comparative Study of Image Restoration Networks for General Backbone Network DesignCode1
From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral PerspectiveCode1
FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly DetectionCode1
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image RestorationCode1
The 2018 PIRM Challenge on Perceptual Image Super-resolutionCode1
Flare-Free Vision: Empowering Uformer with Depth InsightsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72Unverified
2SRUDCAverage PSNR (dB)27.64Unverified
3RestormerAverage PSNR (dB)26.99Unverified
4WGWSNetAverage PSNR (dB)26.96Unverified
5DGUNetAverage PSNR (dB)26.92Unverified
6OKNetAverage PSNR (dB)26.33Unverified
7MIRNetAverage PSNR (dB)25.97Unverified
8PromptIRAverage PSNR (dB)25.9Unverified
9MPRNetAverage PSNR (dB)25.47Unverified
10MIRNetv2Average PSNR (dB)25.37Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42Unverified
2ESDNetPSNR22.12Unverified
#ModelMetricClaimedVerifiedStatus
1730L37Unverified