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 631640 of 1459 papers

TitleStatusHype
Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion0
Complexity Experts are Task-Discriminative Learners for Any Image Restoration0
Hierarchical Information Flow for Generalized Efficient Image Restoration0
Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation0
Puzzle Similarity: A Perceptually-guided Cross-Reference Metric for Artifact Detection in 3D Scene Reconstructions0
GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration0
U2NeRF: Unsupervised Underwater Image Restoration and Neural Radiance Fields0
Mixed Degradation Image Restoration via Local Dynamic Optimization and Conditional Embedding0
LTCF-Net: A Transformer-Enhanced Dual-Channel Fourier Framework for Low-Light Image Restoration0
Gradient-Guided Parameter Mask for Multi-Scenario Image Restoration Under Adverse WeatherCode0
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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