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 151–175 of 1459 papers

TitleStatusHype
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-ExpertsCode1
Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed ImagesCode1
Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier DomainCode1
A Regularization-Guided Equivariant Approach for Image RestorationCode1
Dual Pixel Exploration: Simultaneous Depth Estimation and Image RestorationCode1
Dynamic Attentive Graph Learning for Image RestorationCode1
Are Deep Neural Architectures Losing Information? Invertibility Is IndispensableCode1
Dynamic Contrastive Knowledge Distillation for Efficient Image RestorationCode1
DREB-Net: Dual-stream Restoration Embedding Blur-feature Fusion Network for High-mobility UAV Object DetectionCode1
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-TransformerCode1
DRT: A Lightweight Single Image Deraining Recursive TransformerCode1
Enlighten Anything: When Segment Anything Model Meets Low-Light Image EnhancementCode1
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image RestorationCode1
A Preliminary Study for GPT-4o on Image RestorationCode1
Diffusion Posterior Proximal Sampling for Image RestorationCode1
A Practical Contrastive Learning Framework for Single-Image Super-ResolutionCode1
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image RestorationCode1
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection StrategyCode1
Restore Anything Model via Efficient Degradation AdaptationCode1
Accelerating Multiframe Blind Deconvolution via Deep LearningCode1
Diffusion Priors for Variational Likelihood Estimation and Image DenoisingCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
Blind Inverse Gamma Correction with Maximized Differential EntropyCode1
DemosaicFormer: Coarse-to-Fine Demosaicing Network for HybridEVS CameraCode1
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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