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 676–700 of 1459 papers

TitleStatusHype
Generalizable Denoising of Microscopy Images using Generative Adversarial Networks and Contrastive Learning—0
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up TablesCode1
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-ConsistencyCode0
Learning A Sparse Transformer Network for Effective Image DerainingCode2
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image RestorationCode1
Inverse problem regularization with hierarchical variational autoencodersCode0
Star-Net: Improving Single Image Desnowing Model With More Efficient Connection and Diverse Feature Interaction—0
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable BankCode1
DiffIR: Efficient Diffusion Model for Image RestorationCode2
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Learning Distortion Invariant Representation for Image Restoration from A Causality PerspectiveCode1
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach—0
MetaUE: Model-based Meta-learning for Underwater Image EnhancementCode0
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration—0
CoT-MISR:Marrying Convolution and Transformer for Multi-Image Super-Resolution—0
SANDFORMER: CNN and Transformer under Gated Fusion for Sand Dust Image Restoration—0
Structured Kernel Estimation for Photon-Limited DeconvolutionCode1
KBNet: Kernel Basis Network for Image RestorationCode2
Retinal Image Restoration using Transformer and Cycle-Consistent Generative Adversarial NetworkCode1
Unlimited-Size Diffusion RestorationCode3
Efficient and Explicit Modelling of Image Hierarchies for Image RestorationCode2
TextIR: A Simple Framework for Text-based Editable Image Restoration—0
Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising—0
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection—0
Quantized Low-Rank Multivariate Regression with Random Dithering—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