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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1051–1075 of 1459 papers

TitleStatusHype
LiDAR Depth Map Guided Image Compression Model—0
Lightweight single-image super-resolution network based on dual paths—0
Linearized ADMM and Fast Nonlocal Denoising for Efficient Plug-and-Play Restoration—0
Linkage between piecewise constant Mumford-Shah model and ROF model and its virtue in image segmentation—0
LIRA: Lifelong Image Restoration from Unknown Blended Distortions—0
LL-ICM: Image Compression for Low-level Machine Vision via Large Vision-Language Model—0
LLMRA: Multi-modal Large Language Model based Restoration Assistant—0
Local Sparse Approximation for Image Restoration with Adaptive Block Size Selection—0
Blur Invariant Kernel-Adaptive Network for Single Image Blind deblurring—0
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models—0
Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction—0
Lottery Image Prior—0
Low-Light Image Restoration Based on Retina Model using Neural Networks—0
Low-light Image Restoration with Short- and Long-exposure Raw Pairs—0
Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation—0
Low-rank Matrix Factorization under General Mixture Noise Distributions—0
Low Rank Quaternion Matrix Recovery via Logarithmic Approximation—0
LTCF-Net: A Transformer-Enhanced Dual-Channel Fourier Framework for Low-Light Image Restoration—0
LuminanceL1Loss: A loss function which measures percieved brightness and colour differences—0
Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision—0
Lunar surface image restoration using U-net based deep neural networks—0
Real-world Person Re-Identification via Degradation Invariance Learning—0
Recent Progress in Image Deblurring—0
Recent progress in image denoising: A training strategy perspective—0
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising—0
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All datasetsCDD-11UHDM.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72—Unverified
2SRUDCAverage PSNR (dB)27.64—Unverified
3RestormerAverage PSNR (dB)26.99—Unverified
4WGWSNetAverage PSNR (dB)26.96—Unverified
5DGUNetAverage PSNR (dB)26.92—Unverified
6OKNetAverage PSNR (dB)26.33—Unverified
7MIRNetAverage PSNR (dB)25.97—Unverified
8PromptIRAverage PSNR (dB)25.9—Unverified
9MPRNetAverage PSNR (dB)25.47—Unverified
10MIRNetv2Average PSNR (dB)25.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42—Unverified
2ESDNetPSNR22.12—Unverified
#ModelMetricClaimedVerifiedStatus
1730L37—Unverified