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

Showing 176200 of 1459 papers

TitleStatusHype
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image RestorationCode1
Deep Convolutional Dictionary Learning for Image DenoisingCode1
Restore Anything Model via Efficient Degradation AdaptationCode1
Deep Equilibrium Diffusion Restoration with Parallel SamplingCode1
Deep Image Semantic Communication Model for Artificial Intelligent Internet of ThingsCode1
Deep Image PriorCode1
BokehOrNot: Transforming Bokeh Effect with Image Transformer and Lens Metadata EmbeddingCode1
Accelerating Multiframe Blind Deconvolution via Deep LearningCode1
Deep Generalized Unfolding Networks for Image RestorationCode1
A Practical Contrastive Learning Framework for Single-Image Super-ResolutionCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral PerspectiveCode1
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display CameraCode1
Decoupled Data Consistency with Diffusion Purification for Image RestorationCode1
Blind Inverse Gamma Correction with Maximized Differential EntropyCode1
Focal Network for Image RestorationCode1
DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen DomainsCode1
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and BetterCode1
Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display CameraCode1
Forward-only Diffusion Probabilistic ModelsCode1
Data augmentation for deep learning based accelerated MRI reconstruction with limited dataCode1
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-ResolutionCode1
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-ResolutionCode1
Show:102550
← PrevPage 8 of 59Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72Unverified
2SRUDCAverage PSNR (dB)27.64Unverified
3RestormerAverage PSNR (dB)26.99Unverified
4WGWSNetAverage PSNR (dB)26.96Unverified
5DGUNetAverage PSNR (dB)26.92Unverified
6OKNetAverage PSNR (dB)26.33Unverified
7MIRNetAverage PSNR (dB)25.97Unverified
8PromptIRAverage PSNR (dB)25.9Unverified
9MPRNetAverage PSNR (dB)25.47Unverified
10MIRNetv2Average PSNR (dB)25.37Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42Unverified
2ESDNetPSNR22.12Unverified
#ModelMetricClaimedVerifiedStatus
1730L37Unverified