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 171180 of 1459 papers

TitleStatusHype
OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts RemovalCode1
Re-boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image RestorationCode1
Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision TasksCode1
UniProcessor: A Text-induced Unified Low-level Image ProcessorCode1
Multi-Expert Adaptive Selection: Task-Balancing for All-in-One Image RestorationCode1
GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant AttentionCode1
Restore Anything Model via Efficient Degradation AdaptationCode1
Attention-Guided Low-Rank Tensor CompletionCode1
Region Attention Transformer for Medical Image RestorationCode1
Asymmetric Mask Scheme for Self-Supervised Real Image DenoisingCode1
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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