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 111120 of 1459 papers

TitleStatusHype
Denoising as Adaptation: Noise-Space Domain Adaptation for Image RestorationCode2
SUNet: Swin Transformer UNet for Image DenoisingCode2
All-In-One Medical Image Restoration via Task-Adaptive RoutingCode2
Controlling Vision-Language Models for Multi-Task Image RestorationCode2
Denoising Diffusion Models for Plug-and-Play Image RestorationCode2
DiffIR: Efficient Diffusion Model for Image RestorationCode2
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image DenoisingCode2
Correlation Matching Transformation Transformers for UHD Image RestorationCode2
DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided TransformerCode2
Navigating Image Restoration with VAR's Distribution Alignment PriorCode2
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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