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

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Showing 201–250 of 1459 papers

TitleStatusHype
Burstormer: Burst Image Restoration and Enhancement TransformerCode1
CAIR: Fast and Lightweight Multi-Scale Color Attention Network for Instagram Filter RemovalCode1
DRT: A Lightweight Single Image Deraining Recursive TransformerCode1
Accelerating Multiframe Blind Deconvolution via Deep LearningCode1
Image Restoration via Frequency SelectionCode1
Ingredient-Oriented Multi-Degradation Learning for Image RestorationCode1
Deep Plug-and-Play Super-Resolution for Arbitrary Blur KernelsCode1
Dynamic Contrastive Knowledge Distillation for Efficient Image RestorationCode1
Blind Inverse Gamma Correction with Maximized Differential EntropyCode1
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image RestorationCode1
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed ImagesCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Image Generation With Neural Cellular AutomatasCode1
CLEARER: Multi-Scale Neural Architecture Search for Image RestorationCode1
Adaptive Blind All-in-One Image RestorationCode1
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration NetworkCode1
Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed ImagesCode1
As if by magic: self-supervised training of deep despeckling networks with MERLINCode1
Learning A Locally Unified 3D Point Cloud for View SynthesisCode1
BlindDiff: Empowering Degradation Modelling in Diffusion Models for Blind Image Super-ResolutionCode1
EnlightenGAN: Deep Light Enhancement without Paired SupervisionCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
COLA-Net: Collaborative Attention Network for Image RestorationCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
Illumination Controllable Dehazing Network based on Unsupervised Retinex EmbeddingCode1
Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image EnhancementCode1
Exploiting Deep Generative Prior for Versatile Image Restoration and ManipulationCode1
Image Demoireing with Learnable Bandpass FiltersCode1
Compound Multi-branch Feature Fusion for Real Image RestorationCode1
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceCode1
Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image RestorationCode1
Annular Computational Imaging: Capture Clear Panoramic Images through Simple LensCode1
Exploring and Evaluating Image Restoration Potential in Dynamic ScenesCode1
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object DetectionCode1
Exploring the potential of channel interactions for image restorationCode1
Deep Image PriorCode1
Priors in Deep Image Restoration and Enhancement: A SurveyCode1
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image RestorationCode1
From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral PerspectiveCode1
HQ-50K: A Large-scale, High-quality Dataset for Image RestorationCode1
Asymmetric Mask Scheme for Self-Supervised Real Image DenoisingCode1
Real-time 6K Image Rescaling with Rate-distortion OptimizationCode1
ConStyle v2: A Strong Prompter for All-in-One Image RestorationCode1
Deep Generalized Unfolding Networks for Image RestorationCode1
Forward-only Diffusion Probabilistic ModelsCode1
Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image RestorationCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
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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