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 1031–1040 of 1459 papers

TitleStatusHype
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective—0
A Novel Framework for Image-to-image Translation and Image Compression—0
An Educated Warm Start For Deep Image Prior-Based Micro CT ReconstructionCode0
A Study on the Efficient Product Search Service for the Damaged Image Information—0
FINO: Flow-based Joint Image and Noise Model—0
ISP-Agnostic Image Reconstruction for Under-Display Cameras—0
Functional Neural Networks for Parametric Image Restoration Problems—0
An Effective Image Restorer: Denoising and Luminance Adjustment for Low-photon-count Imaging—0
Unsupervised PET Reconstruction from a Bayesian Perspective—0
Learning Continuous Face Representation with Explicit Functions—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