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

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Showing 741–750 of 1459 papers

TitleStatusHype
Compressive Shack-Hartmann Wavefront Sensor based on Deep Neural Networks—0
Computationally iterative methods for salt-and-pepper denoising—0
Concatenated Attention Neural Network for Image Restoration—0
Concept for a CMOS Image Sensor Suited for Analog Image Pre-Processing—0
Conformal and Low-Rank Sparse Representation for Image Restoration—0
Consistency Posterior Sampling for Diverse Image Synthesis—0
Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration—0
Content-adaptive Representation Learning for Fast Image Super-resolution—0
Content-Aware Depth-Adaptive Image Restoration—0
Controllable Image Restoration for Under-Display Camera in Smartphones—0
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All datasetsCDD-11UHDM.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72—Unverified
2SRUDCAverage PSNR (dB)27.64—Unverified
3RestormerAverage PSNR (dB)26.99—Unverified
4WGWSNetAverage PSNR (dB)26.96—Unverified
5DGUNetAverage PSNR (dB)26.92—Unverified
6OKNetAverage PSNR (dB)26.33—Unverified
7MIRNetAverage PSNR (dB)25.97—Unverified
8PromptIRAverage PSNR (dB)25.9—Unverified
9MPRNetAverage PSNR (dB)25.47—Unverified
10MIRNetv2Average PSNR (dB)25.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42—Unverified
2ESDNetPSNR22.12—Unverified
#ModelMetricClaimedVerifiedStatus
1730L37—Unverified