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 751760 of 1459 papers

TitleStatusHype
Efficient Frequency Domain-based Transformers for High-Quality Image DeblurringCode2
iiTransformer: A Unified Approach to Exploiting Local and Non-Local Information for Image Restoration0
Stereo Image Rain Removal via Dual-View Mutual Attention0
Patch-Craft Self-Supervised Training for Correlated Image DenoisingCode0
Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and DesnowingCode0
Self-Supervised Image Restoration with Blurry and Noisy PairsCode1
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature DenoiserCode0
DriftRec: Adapting diffusion models to blind JPEG restorationCode0
ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning0
Style-Guided Shadow RemovalCode1
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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