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 3140 of 1459 papers

TitleStatusHype
BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image RestorationCode2
A Regularization-Guided Equivariant Approach for Image RestorationCode1
Benchmarking Laparoscopic Surgical Image Restoration and BeyondCode2
Freqformer: Image-Demoiréing Transformer via Efficient Frequency DecompositionCode1
Manifold-aware Representation Learning for Degradation-agnostic Image Restoration0
Dual Ascent Diffusion for Inverse Problems0
MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image RecoveryCode1
RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration0
Clear Nights Ahead: Towards Multi-Weather Nighttime Image Restoration0
NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment0
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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