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 376–400 of 1459 papers

TitleStatusHype
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving—0
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees—0
Efficient Visual State Space Model for Image DeblurringCode2
Perceptual Fairness in Image Restoration—0
DARK: Denoising, Amplification, Restoration KitCode0
Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical ImageCode1
A New Cross-Space Total Variation Regularization Model for Color Image Restoration with Quaternion Blur Operator—0
Emphasizing Crucial Features for Efficient Image RestorationCode0
A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model—0
RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image Dehazing—0
NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge—0
FRRffusion: Unveiling Authenticity with Diffusion-Based Face Retouching ReversalCode0
RPBG: Towards Robust Neural Point-based Graphics in the WildCode1
DocRes: A Generalist Model Toward Unifying Document Image Restoration TasksCode4
Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image RestorationCode2
Deep Image Restoration For Image Anti-ForensicsCode0
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image DenoisingCode2
Reconstructing Satellites in 3D from Amateur Telescope Images—0
PromptCIR: Blind Compressed Image Restoration with Prompt LearningCode1
One-Shot Image Restoration—0
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge—0
A Survey on Visual MambaCode4
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-ResolutionCode2
Face2Face: Label-driven Facial Retouching Restoration—0
CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement TaskCode2
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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