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 931940 of 1459 papers

TitleStatusHype
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image ReconstructionCode3
A Study on the Efficient Product Search Service for the Damaged Image Information0
FINO: Flow-based Joint Image and Noise Model0
ISP-Agnostic Image Reconstruction for Under-Display Cameras0
Functional Neural Networks for Parametric Image Restoration Problems0
Unsupervised PET Reconstruction from a Bayesian Perspective0
An Effective Image Restorer: Denoising and Luminance Adjustment for Low-photon-count Imaging0
Improving Super-Resolution Performance using Meta-Attention LayersCode1
Learning Continuous Face Representation with Explicit Functions0
As if by magic: self-supervised training of deep despeckling networks with MERLINCode1
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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