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
Guided Frequency Loss for Image Restoration0
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion0
Guided Nonlocal Patch Regularization and Efficient Filtering-Based Inversion for Multiband Fusion0
GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution0
Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration0
Hand Gestures Recognition in Videos Taken with Lensless Camera0
Haze-Aware Attention Network for Single-Image Dehazing0
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging0
Heavy Rain Face Image Restoration: Integrating Physical Degradation Model and Facial Component Guided Adversarial Learning0
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond0
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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