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 151160 of 1459 papers

TitleStatusHype
Deep Equilibrium Diffusion Restoration with Parallel SamplingCode1
Deep Generalized Unfolding Networks for Image RestorationCode1
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-ExpertsCode1
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
A Regularization-Guided Equivariant Approach for Image RestorationCode1
Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display CameraCode1
Are Deep Neural Architectures Losing Information? Invertibility Is IndispensableCode1
Decoupled Data Consistency with Diffusion Purification for Image RestorationCode1
Deep Atrous Guided Filter for Image Restoration in Under Display CamerasCode1
DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen DomainsCode1
Show:102550
← PrevPage 16 of 146Next →

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