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 411420 of 1459 papers

TitleStatusHype
Single Stage Adaptive Multi-Attention Network for Image RestorationCode0
Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral ImagesCode0
STAIC regularization for spatio-temporal image reconstruction0
Empowering Image Recovery_ A Multi-Attention Approach0
DiffBody: Human Body Restoration by Imagining with Generative Diffusion Prior0
Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image RestorationCode2
Flare-Free Vision: Empowering Uformer with Depth InsightsCode1
IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions0
GAMA-IR: Global Additive Multidimensional Averaging for Fast Image Restoration0
Towards Image Ambient Lighting NormalizationCode1
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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