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
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Dual Pixel Exploration: Simultaneous Depth Estimation and Image RestorationCode1
CLEARER: Multi-Scale Neural Architecture Search for Image RestorationCode1
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric—0
Rethinking deinterlacing for early interlaced videos—0
Navigating the GAN Parameter Space for Semantic Image EditingCode1
Rank-One Network: An Effective Framework for Image RestorationCode1
Learning to Sample the Most Useful Training Patches from Images—0
Point Spread Function Estimation for Wide Field Small Aperture Telescopes with Deep Neural Networks and Calibration Data—0
Compressive Shack-Hartmann Wavefront Sensor based on Deep Neural Networks—0
Edge Adaptive Hybrid Regularization Model For Image Deblurring—0
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient EstimationCode0
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges—0
Generative and Discriminative Learning for Distorted Image Restoration—0
Noise2Stack: Improving Image Restoration by Learning from Volumetric Data—0
Blind Motion Deblurring through SinGAN Architecture—0
Data--driven Image Restoration with Option--driven Learning for Big and Small Astronomical Image Datasets—0
DeepCFL: Deep Contextual Features Learning from a Single Image—0
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image RestorationCode1
Learning Deep Interleaved Networks with Asymmetric Co-Attention for Image RestorationCode1
Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image RestorationCode1
Image Generation With Neural Cellular AutomatasCode1
Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed ImagesCode1
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMMCode1
Transform Domain Pyramidal Dilated Convolution Networks For Restoration of Under Display Camera ImagesCode0
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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