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 651–660 of 1459 papers

TitleStatusHype
A GAN-Based Input-Size Flexibility Model for Single Image Dehazing—0
Densely Connected High Order Residual Network for Single Frame Image Super Resolution—0
Denoising single images by feature ensemble revisited—0
Boosted GAN with Semantically Interpretable Information for Image Inpainting—0
A Preliminary Exploration Towards General Image Restoration—0
IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions—0
Denoising diffusion models for high-resolution microscopy image restoration—0
Denoising and Covariance Estimation of Single Particle Cryo-EM Images—0
Blur, Noise, and Compression Robust Generative Adversarial Networks—0
AOSR-Net: All-in-One Sandstorm Removal Network—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