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 691700 of 1459 papers

TitleStatusHype
SANDFORMER: CNN and Transformer under Gated Fusion for Sand Dust Image Restoration0
Structured Kernel Estimation for Photon-Limited DeconvolutionCode1
KBNet: Kernel Basis Network for Image RestorationCode2
Retinal Image Restoration using Transformer and Cycle-Consistent Generative Adversarial NetworkCode1
Unlimited-Size Diffusion RestorationCode3
Efficient and Explicit Modelling of Image Hierarchies for Image RestorationCode2
TextIR: A Simple Framework for Text-based Editable Image Restoration0
Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising0
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection0
Quantized Low-Rank Multivariate Regression with Random Dithering0
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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