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 91–100 of 1459 papers

TitleStatusHype
Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image RestorationCode2
Dual-domain strip attention for image restorationCode2
EAMamba: Efficient All-Around Vision State Space Model for Image RestorationCode2
DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided TransformerCode2
Efficient and Explicit Modelling of Image Hierarchies for Image RestorationCode2
Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image RestorationCode2
DiffIR: Efficient Diffusion Model for Image RestorationCode2
MWFormer: Multi-Weather Image Restoration Using Degradation-Aware TransformersCode2
DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration ModelsCode2
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive SurveyCode2
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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