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 201210 of 1459 papers

TitleStatusHype
EchoIR: Advancing Image Restoration with Echo Upsampling and Bi-Level Optimization0
InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention0
Enhancing Sample Generation of Diffusion Models using Noise Level Correction0
Equivariant Denoisers for Image Restoration0
ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration0
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian NoiseCode4
Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging0
Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration0
Blind Underwater Image Restoration using Co-Operational Regressor Networks0
Deep priors for satellite image restoration with accurate uncertainties0
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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