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 951960 of 1459 papers

TitleStatusHype
Dynamic Attentive Graph Learning for Image RestorationCode1
ReconfigISP: Reconfigurable Camera Image Processing PipelineCode1
Unfolding Taylor's Approximations for Image Restoration0
Unpaired Deep Image Deraining Using Dual Contrastive Learning0
SwinIR: Image Restoration Using Swin TransformerCode3
Image Inpainting using Partial Convolution0
Spatially-Adaptive Image Restoration using Distortion-Guided NetworksCode0
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality AssessmentCode1
High-dimensional Assisted Generative Model for Color Image RestorationCode0
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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