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 581590 of 1459 papers

TitleStatusHype
All in One Bad Weather Removal Using Architectural Search0
Image Desaturation for SDO/AIA Using Deep Learning0
Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion0
Algorithm-Induced Prior for Image Restoration0
DPMambaIR:All-in-One Image Restoration via Degradation-Aware Prompt State Space Model0
Double-Diffusion: Diffusion Conditioned Diffusion Probabilistic Model For Air Quality Prediction0
CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded Image0
DRCAS: Deep Restoration Network for Hardware Based Compressive Acquisition Scheme0
Cat-AIR: Content and Task-Aware All-in-One Image Restoration0
DN-ResNet: Efficient Deep Residual Network for Image Denoising0
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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