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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 841–850 of 1459 papers

TitleStatusHype
Dynamic Association Learning of Self-Attention and Convolution in Image Restoration—0
Dynamic Degradation Decomposition Network for All-in-One Image Restoration—0
Dynamic Image Restoration and Fusion Based on Dynamic Degradation—0
D-YOLO a robust framework for object detection in adverse weather conditions—0
EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution—0
EchoIR: Advancing Image Restoration with Echo Upsampling and Bi-Level Optimization—0
Edge Adaptive Hybrid Regularization Model For Image Deblurring—0
Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression—0
Effective Backscatter Approximation for Photometry in Murky Water—0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems—0
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All datasetsCDD-11UHDM.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72—Unverified
2SRUDCAverage PSNR (dB)27.64—Unverified
3RestormerAverage PSNR (dB)26.99—Unverified
4WGWSNetAverage PSNR (dB)26.96—Unverified
5DGUNetAverage PSNR (dB)26.92—Unverified
6OKNetAverage PSNR (dB)26.33—Unverified
7MIRNetAverage PSNR (dB)25.97—Unverified
8PromptIRAverage PSNR (dB)25.9—Unverified
9MPRNetAverage PSNR (dB)25.47—Unverified
10MIRNetv2Average PSNR (dB)25.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42—Unverified
2ESDNetPSNR22.12—Unverified
#ModelMetricClaimedVerifiedStatus
1730L37—Unverified