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 501–525 of 1459 papers

TitleStatusHype
Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image RestorationCode1
Perception-Distortion Balanced Super-Resolution: A Multi-Objective Optimization PerspectiveCode1
Exploring the potential of channel interactions for image restorationCode1
Atlantis: Enabling Underwater Depth Estimation with Stable DiffusionCode1
SPIRE: Semantic Prompt-Driven Image Restoration—0
Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GANCode0
Image Restoration Through Generalized Ornstein-Uhlenbeck BridgeCode1
NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GANCode1
Image Deblurring using GAN—0
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion—0
VQCNIR: Clearer Night Image Restoration with Vector-Quantized CodebookCode1
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-ExpertsCode1
Uncertainty Visualization via Low-Dimensional Posterior ProjectionsCode0
WaterHE-NeRF: Water-ray Tracing Neural Radiance Fields for Underwater Scene Reconstruction—0
Hyper-Restormer: A General Hyperspectral Image Restoration Transformer for Remote Sensing Imaging—0
Textual Prompt Guided Image RestorationCode1
Decoupling Degradation and Content Processing for Adverse Weather Image Restoration—0
Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation—0
Prompt-In-Prompt Learning for Universal Image RestorationCode1
Training Neural Networks on RAW and HDR Images for Restoration TasksCode1
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration—0
Multi-task Image Restoration Guided By Robust DINO Features—0
T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency—0
Test-Time Degradation Adaptation for Open-Set Image RestorationCode0
Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolutionCode1
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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