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 911920 of 1459 papers

TitleStatusHype
Procedural Kernel Networks0
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers0
Kernel-aware Burst Blind Super-ResolutionCode0
Improving Image Restoration by Revisiting Global Information AggregationCode2
U2-Former: A Nested U-shaped Transformer for Image Restoration0
Unsupervised Low-Light Image Enhancement via Histogram Equalization PriorCode1
SAR Image Despeckling Using Continuous Attention ModuleCode1
Deep Self-Dissimilarities as Powerful Visual Fingerprints0
Event-Based Fusion for Motion Deblurring with Cross-modal AttentionCode1
TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather ConditionsCode1
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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