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 141150 of 1459 papers

TitleStatusHype
MatIR: A Hybrid Mamba-Transformer Image Restoration ModelCode1
Integrating Spatial and Frequency Information for Under-Display Camera Image Restoration0
Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration0
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual InferenceCode0
Universal Image Restoration Pre-training via Degradation ClassificationCode2
CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded Image0
INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image Restoration0
Binary Diffusion Probabilistic Model0
UniUIR: Considering Underwater Image Restoration as An All-in-One Learner0
FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image RestorationCode0
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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