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 691–700 of 1459 papers

TitleStatusHype
Consistency Posterior Sampling for Diverse Image Synthesis—0
AllRestorer: All-in-One Transformer for Image Restoration under Composite Degradations—0
Epigraphical Relaxation for Minimizing Layered Mixed Norms—0
Conformal and Low-Rank Sparse Representation for Image Restoration—0
Enhancing Sample Generation of Diffusion Models using Noise Level Correction—0
Concept for a CMOS Image Sensor Suited for Analog Image Pre-Processing—0
Concatenated Attention Neural Network for Image Restoration—0
Adaptive Image Restoration for Video Surveillance: A Real-Time Approach—0
ACL: Activating Capability of Linear Attention for Image Restoration—0
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance—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