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 901–925 of 1459 papers

TitleStatusHype
Generalizable Denoising of Microscopy Images using Generative Adversarial Networks and Contrastive Learning—0
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-ConsistencyCode0
Inverse problem regularization with hierarchical variational autoencodersCode0
Star-Net: Improving Single Image Desnowing Model With More Efficient Connection and Diverse Feature Interaction—0
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach—0
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration—0
MetaUE: Model-based Meta-learning for Underwater Image EnhancementCode0
CoT-MISR:Marrying Convolution and Transformer for Multi-Image Super-Resolution—0
SANDFORMER: CNN and Transformer under Gated Fusion for Sand Dust Image Restoration—0
TextIR: A Simple Framework for Text-based Editable Image Restoration—0
Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising—0
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection—0
Quantized Low-Rank Multivariate Regression with Random Dithering—0
Depth Estimation and Image Restoration by Deep Learning from Defocused Images—0
Image Reconstruction via Deep Image Prior SubspacesCode0
Restoration based Generative ModelsCode0
Energy-Inspired Self-Supervised Pretraining for Vision Models—0
A relaxed proximal gradient descent algorithm for convergent plug-and-play with proximal denoiserCode0
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond—0
Towards Vision Transformer Unrolling Fixed-Point Algorithm: a Case Study on Image Restoration—0
Improving Cross-modal Alignment for Text-Guided Image Inpainting—0
Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks—0
Recent progress in image denoising: A training strategy perspective—0
DarkVision: A Benchmark for Low-light Image/Video Perception—0
Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation—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