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 601610 of 1459 papers

TitleStatusHype
Global-Local Stepwise Generative Network for Ultra High-Resolution Image RestorationCode0
Loss Functions for Neural Networks for Image ProcessingCode0
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CTCode0
Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image RestorationCode0
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image PriorCode0
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image RestorationCode0
Learning Deep CNN Denoiser Prior for Image RestorationCode0
DARK: Denoising, Amplification, Restoration KitCode0
Generalizing to Out-of-Sample Degradations via Model ReprogrammingCode0
Automatic Temporally Coherent Video ColorizationCode0
Show:102550
← PrevPage 61 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