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 651–675 of 1459 papers

TitleStatusHype
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
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
Rethinking deinterlacing for early interlaced videos—0
Blur-Attention: A boosting mechanism for non-uniform blurred image restoration—0
Degrees of Freedom Analysis of Unrolled Neural Networks—0
Block based refitting in _12 sparse regularisation—0
Any Image Restoration via Efficient Spatial-Frequency Degradation Adaptation—0
Active image restoration—0
Degradation-Guided Meta-Restoration Network for Blind Super-Resolution—0
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging—0
Blind Visible Watermark Removal with Morphological Dilation—0
Blind Underwater Image Restoration using Co-Operational Regressor Networks—0
Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis—0
Blind Motion Deblurring through SinGAN Architecture—0
Blind Inversion using Latent Diffusion Priors—0
Joint Face Image Restoration and Frontalization for Recognition—0
Kernel Estimation from Salient Structure for Robust Motion Deblurring—0
Deep Unrolled Network for Video Super-Resolution—0
Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion—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