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 776–800 of 1459 papers

TitleStatusHype
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery—0
VL-UR: Vision-Language-guided Universal Restoration of Images Degraded by Adverse Weather Conditions—0
WaterHE-NeRF: Water-ray Tracing Neural Radiance Fields for Underwater Scene Reconstruction—0
Wavelet-Based Dual-Branch Network for Image Demoiréing—0
Wavelet based inpainting detection—0
Wavelet-Based Segmentation on the Sphere—0
Wavelet-Enhanced Desnowing: A Novel Single Image Restoration Approach for Traffic Surveillance under Adverse Weather Conditions—0
Wavelet Frame Based Image Restoration Using Sparsity, Nonlocal and Support Prior of Frame Coefficients—0
Weighted Low-rank Tensor Recovery for Hyperspectral Image Restoration—0
Weighted Sigmoid Gate Unit for an Activation Function of Deep Neural Network—0
Wild refitting for black box prediction—0
WMFormer++: Nested Transformer for Visible Watermark Removal via Implict Joint Learning—0
X-GANs: Image Reconstruction Made Easy for Extreme Cases—0
Zero shot framework for satellite image restoration—0
Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model—0
0-1 phase transitions in sparse spiked matrix estimation—0
ZipIR: Latent Pyramid Diffusion Transformer for High-Resolution Image Restoration—0
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors—0
DRCAS: Deep Restoration Network for Hardware Based Compressive Acquisition Scheme—0
Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration—0
Multi-weather Cross-view Geo-localization Using Denoising Diffusion Models—0
3D CBCT Challenge 2024: Improved Cone Beam CT Reconstruction using SwinIR-Based Sinogram and Image Enhancement—0
Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction—0
A Cascaded Convolutional Neural Network for Single Image Dehazing—0
Accelerating GMM-based patch priors for image restoration: Three ingredients for a 100 speed-up—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