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 481490 of 1459 papers

TitleStatusHype
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural NetworkCode0
Progressive Reconstruction of Visual Structure for Image InpaintingCode0
Enhanced Control for Diffusion Bridge in Image RestorationCode0
Energy-Calibrated VAE with Test Time Free LunchCode0
Probabilistic Residual Learning for Aleatoric Uncertainty in Image RestorationCode0
Posterior Sampling for Image Restoration using Explicit Patch PriorsCode0
Emphasizing Crucial Features for Efficient Image RestorationCode0
Power Line Aerial Image Restoration under dverse Weather: Datasets and BaselinesCode0
ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative TransformerCode0
Plug-and-Play gradient-based denoisers applied to CT image enhancementCode0
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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