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 931940 of 1459 papers

TitleStatusHype
Variational Degeneration to Structural Refinement: A Unified Framework for Superimposed Image Decomposition0
Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild0
Fingerprinting Deep Image Restoration Models0
Vector Quantization With Self-Attention for Quality-Independent Representation Learning0
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery0
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration0
PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting0
DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration0
Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning0
Single Cell Training on Architecture Search 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