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 13711380 of 1459 papers

TitleStatusHype
Kernel-aware Burst Blind Super-ResolutionCode0
Sea-ing in Low-lightCode0
Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and DesnowingCode0
Dual Residual Networks Leveraging the Potential of Paired Operations for Image RestorationCode0
Crafting a Toolchain for Image Restoration by Deep Reinforcement LearningCode0
Dual High-Order Total Variation Model for Underwater Image RestorationCode0
Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image DenoisingCode0
Segmentation-Aware Image Denoising without Knowing True SegmentationCode0
DriftRec: Adapting diffusion models to blind JPEG restorationCode0
Dual Degradation Representation for Joint Deraining and Low-Light Enhancement in the DarkCode0
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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