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 401425 of 1459 papers

TitleStatusHype
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Restore Anything Pipeline: Segment Anything Meets Image RestorationCode1
Forward-only Diffusion Probabilistic ModelsCode1
Are Deep Neural Architectures Losing Information? Invertibility Is IndispensableCode1
CAIR: Fast and Lightweight Multi-Scale Color Attention Network for Instagram Filter RemovalCode1
Attention Cube Network for Image RestorationCode1
A Mountain-Shaped Single-Stage Network for Accurate Image RestorationCode1
Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display CameraCode1
Exploring the potential of channel interactions for image restorationCode1
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion ModelCode1
A Regularization-Guided Equivariant Approach for Image RestorationCode1
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object DetectionCode1
FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly DetectionCode1
Divide-and-Conquer Posterior Sampling for Denoising Diffusion PriorsCode1
Exploiting Raw Images for Real-Scene Super-ResolutionCode1
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-ExpertsCode1
DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-TransformerCode1
A Comparative Study of Image Restoration Networks for General Backbone Network DesignCode1
SAM-Deblur: Let Segment Anything Boost Image DeblurringCode1
SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive DerainingCode1
Exploring and Evaluating Image Restoration Potential in Dynamic ScenesCode1
SAR Image Despeckling Using Continuous Attention ModuleCode1
Flare-Free Vision: Empowering Uformer with Depth InsightsCode1
Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image RestorersCode1
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image RestorationCode1
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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