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 11911200 of 1459 papers

TitleStatusHype
Fast Image Restoration With Multi-Bin Trainable Linear UnitsCode0
Progressive Reconstruction of Visual Structure for Image InpaintingCode0
ERL-Net: Entangled Representation Learning for Single Image De-Raining0
Multi-scale Dynamic Feature Encoding Network for Image DemoireingCode0
Removing the Representation Error of GAN Image Priors Using the Deep Decoder0
Analysis and Interpretation of Deep CNN Representations as Perceptual Quality Features0
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior"0
DRCAS: Deep Restoration Network for Hardware Based Compressive Acquisition Scheme0
Memory-Efficient Hierarchical Neural Architecture Search for Image DenoisingCode1
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors0
Show:102550
← PrevPage 120 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