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 14011410 of 1459 papers

TitleStatusHype
Image Restoration using Plug-and-Play CNN MAP DenoisersCode0
Diffusion-based image inpainting with internal learningCode0
Convergent Primal-Dual Plug-and-Play Image Restoration: A General Algorithm and ApplicationsCode0
Image Restoration Using Deep Regulated Convolutional NetworksCode0
Diffusion-Based Adaptation for Classification of Unknown Degraded ImagesCode0
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational AutoencoderCode0
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
Sequential Gating Ensemble Network for Noise Robust Multi-Scale Face RestorationCode0
Towards General Deep Leakage in Federated LearningCode0
Identifying Recurring Patterns with Deep Neural Networks for Natural Image DenoisingCode0
Show:102550
← PrevPage 141 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