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 751–775 of 1459 papers

TitleStatusHype
Efficient Frequency Domain-based Transformers for High-Quality Image DeblurringCode2
iiTransformer: A Unified Approach to Exploiting Local and Non-Local Information for Image Restoration—0
Stereo Image Rain Removal via Dual-View Mutual Attention—0
Patch-Craft Self-Supervised Training for Correlated Image DenoisingCode0
Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and DesnowingCode0
Self-Supervised Image Restoration with Blurry and Noisy PairsCode1
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature DenoiserCode0
DriftRec: Adapting diffusion models to blind JPEG restorationCode0
ClassPruning: Speed Up Image Restoration Networks by Dynamic N:M Pruning—0
Style-Guided Shadow RemovalCode1
The Best of Both Worlds: a Framework for Combining Degradation Prediction with High Performance Super-Resolution NetworksCode1
ReLoc: A Restoration-Assisted Framework for Robust Image Tampering LocalizationCode1
A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact RemovalCode2
Rethinking Image Restoration for Object DetectionCode1
Perceptual Image Enhancement for Smartphone Real-Time Applications—0
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models—0
Hand Gestures Recognition in Videos Taken with Lensless Camera—0
Guided Nonlocal Patch Regularization and Efficient Filtering-Based Inversion for Multiband Fusion—0
Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog RemovalCode1
Low-Light Image Restoration Based on Retina Model using Neural Networks—0
Accurate Image Restoration with Attention Retractable TransformerCode1
Dual-former: Hybrid Self-attention Transformer for Efficient Image Restoration—0
Basic Binary Convolution Unit for Binarized Image Restoration NetworkCode1
R2C-GAN: Restore-to-Classify Generative Adversarial Networks for Blind X-Ray Restoration and COVID-19 ClassificationCode0
Modular Degradation Simulation and Restoration for Under-Display CameraCode0
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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