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 921930 of 1459 papers

TitleStatusHype
Improving Cross-modal Alignment for Text-Guided Image Inpainting0
Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks0
Recent progress in image denoising: A training strategy perspective0
DarkVision: A Benchmark for Low-light Image/Video Perception0
Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation0
All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations0
Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions0
FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras0
K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring0
Multi-weather Image Restoration via Domain Translation0
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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