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

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Showing 501–550 of 1459 papers

TitleStatusHype
Conformal and Low-Rank Sparse Representation for Image Restoration—0
Exploiting the Exact Denoising Posterior Score in Training-Free Guidance of Diffusion Models—0
Concatenated Attention Neural Network for Image Restoration—0
Enhancing Sample Generation of Diffusion Models using Noise Level Correction—0
Concept for a CMOS Image Sensor Suited for Analog Image Pre-Processing—0
Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration—0
Adaptive Image Restoration for Video Surveillance: A Real-Time Approach—0
Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction—0
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras—0
Hyper-Restormer: A General Hyperspectral Image Restoration Transformer for Remote Sensing Imaging—0
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance—0
Computationally iterative methods for salt-and-pepper denoising—0
Compressive Shack-Hartmann Wavefront Sensor based on Deep Neural Networks—0
Enhance Visual Recognition under Adverse Conditions via Deep Networks—0
A Survey on Hyperspectral Image Restoration: From the View of Low-Rank Tensor Approximation—0
Holistic Dynamic Frequency Transformer for Image Fusion and Exposure Correction—0
Enhancement of Underwater Images with Statistical Model of Background Light and Optimization of Transmission Map—0
Compression, Restoration, Re-sampling, Compressive Sensing: Fast Transforms in Digital Imaging—0
All-in-one Weather-degraded Image Restoration via Adaptive Degradation-aware Self-prompting Model—0
Energy-Inspired Self-Supervised Pretraining for Vision Models—0
A Survey on Diffusion Models for Inverse Problems—0
H-OWAN: Multi-distorted Image Restoration with Tensor 1x1 Convolution—0
Empowering Image Recovery_ A Multi-Attention Approach—0
Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior—0
All-in-one Multi-degradation Image Restoration Network via Hierarchical Degradation Representation—0
Elucidating and Endowing the Diffusion Training Paradigm for General Image Restoration—0
Efficient Progressive High Dynamic Range Image Restoration via Attention and Alignment Network—0
Complexity Experts are Task-Discriminative Learners for Any Image Restoration—0
High-speed real-time single-pixel microscopy based on Fourier sampling—0
How Powerful Potential of Attention on Image Restoration?—0
Efficient Medical Image Restoration via Reliability Guided Learning in Frequency Domain—0
Efficient Image Restoration via Latent Consistency Flow Matching—0
A Study on the Efficient Product Search Service for the Damaged Image Information—0
Efficient Image Restoration through Low-Rank Adaptation and Stable Diffusion XL—0
Color graph based wavelet transform with perceptual information—0
AstroClearNet: Deep image prior for multi-frame astronomical image restoration—0
Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training—0
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation—0
Efficient Degradation-aware Any Image Restoration—0
Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration—0
Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution—0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems—0
Effective Backscatter Approximation for Photometry in Murky Water—0
Coercive functions from a topological viewpoint and properties of minimizing sets of convex functions appearing in image restoration—0
Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression—0
Edge Adaptive Hybrid Regularization Model For Image Deblurring—0
CoDe: An Explicit Content Decoupling Framework for Image Restoration—0
EchoIR: Advancing Image Restoration with Echo Upsampling and Bi-Level Optimization—0
A Spectrum-based Image Denoising Method with Edge Feature Enhancement—0
All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations—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