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 826–850 of 1459 papers

TitleStatusHype
Generative and Discriminative Learning for Distorted Image Restoration—0
Distributed Learning and Inference with Compressed Images—0
Distribution-aware Dataset Distillation for Efficient Image Restoration—0
DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration—0
DN-ResNet: Efficient Deep Residual Network for Image Denoising—0
Double-Diffusion: Diffusion Conditioned Diffusion Probabilistic Model For Air Quality Prediction—0
DPMambaIR:All-in-One Image Restoration via Degradation-Aware Prompt State Space Model—0
Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion—0
DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning—0
DRM-IR: Task-Adaptive Deep Unfolding Network for All-In-One Image Restoration—0
Dropout the High-rate Downsampling: A Novel Design Paradigm for UHD Image Restoration—0
Dual Ascent Diffusion for Inverse Problems—0
Dual-former: Hybrid Self-attention Transformer for Efficient Image Restoration—0
Dual Prompting Image Restoration with Diffusion Transformers—0
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration—0
Dynamic Association Learning of Self-Attention and Convolution in Image Restoration—0
Dynamic Degradation Decomposition Network for All-in-One Image Restoration—0
Dynamic Image Restoration and Fusion Based on Dynamic Degradation—0
D-YOLO a robust framework for object detection in adverse weather conditions—0
EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution—0
EchoIR: Advancing Image Restoration with Echo Upsampling and Bi-Level Optimization—0
Edge Adaptive Hybrid Regularization Model For Image Deblurring—0
Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression—0
Effective Backscatter Approximation for Photometry in Murky Water—0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems—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