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 711–720 of 1459 papers

TitleStatusHype
Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration—0
MRIR: Integrating Multimodal Insights for Diffusion-based Realistic Image Restoration—0
Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion ModelCode0
Blind Inversion using Latent Diffusion Priors—0
Unrolling Plug-and-Play Gradient Graph Laplacian Regularizer for Image Restoration—0
Learning Frequency-Aware Dynamic Transformers for All-In-One Image Restoration—0
DiffLoss: unleashing diffusion model as constraint for training image restoration networkCode0
Diffusion Model-based FOD Restoration from High Distortion in dMRI—0
Restorer: Removing Multi-Degradation with All-Axis Attention and Prompt GuidanceCode0
Diffusion-Based Adaptation for Classification of Unknown Degraded ImagesCode0
Show:102550
← PrevPage 72 of 146Next →
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