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 391400 of 1459 papers

TitleStatusHype
Deep Image Restoration For Image Anti-ForensicsCode0
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image DenoisingCode2
Reconstructing Satellites in 3D from Amateur Telescope Images0
PromptCIR: Blind Compressed Image Restoration with Prompt LearningCode1
One-Shot Image Restoration0
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge0
A Survey on Visual MambaCode4
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-ResolutionCode2
Face2Face: Label-driven Facial Retouching Restoration0
CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement TaskCode2
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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