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 4150 of 1459 papers

TitleStatusHype
NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment0
Breaking Complexity Barriers: High-Resolution Image Restoration with Rank Enhanced Linear Attention0
Forward-only Diffusion Probabilistic ModelsCode1
Continuous Representation Methods, Theories, and Applications: An Overview and PerspectivesCode1
UHD Image Dehazing via anDehazeFormer with Atmospheric-aware KV Cache0
LatentINDIGO: An INN-Guided Latent Diffusion Algorithm for Image Restoration0
Towards a Universal Image Degradation Model via Content-Degradation DisentanglementCode0
Degradation-Aware Feature Perturbation for All-in-One Image RestorationCode2
Adaptive Image Restoration for Video Surveillance: A Real-Time Approach0
Trustworthy Image Super-Resolution via Generative PseudoinverseCode0
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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