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 10011010 of 1459 papers

TitleStatusHype
Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal0
Designing A Composite Dictionary Adaptively From Joint Examples0
DiffBody: Human Body Restoration by Imagining with Generative Diffusion Prior0
DiffGAR: Model-Agnostic Restoration from Generative Artifacts Using Image-to-Image Diffusion Models0
Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration0
DiffStereo: High-Frequency Aware Diffusion Model for Stereo Image Restoration0
Diff-Unfolding: A Model-Based Score Learning Framework for Inverse Problems0
Diffusion Image Prior0
Diffusion Methods for Classification with Pairwise Relationships0
Diffusion Model-based FOD Restoration from High Distortion in dMRI0
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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