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

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Showing 1–10 of 1459 papers

TitleStatusHype
Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized ConstraintsCode0
LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior SamplingCode1
Double-Diffusion: Diffusion Conditioned Diffusion Probabilistic Model For Air Quality Prediction—0
EAMamba: Efficient All-Around Vision State Space Model for Image RestorationCode2
Elucidating and Endowing the Diffusion Training Paradigm for General Image Restoration—0
Wild refitting for black box prediction—0
TDiR: Transformer based Diffusion for Image Restoration Tasks—0
NAADA: A Noise-Aware Attention Denoising Autoencoder for Dental Panoramic Radiographs—0
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance—0
Reversing Flow for Image Restoration—0
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All datasetsCDD-11UHDM.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42—Unverified
2ESDNetPSNR22.12—Unverified