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

Showing 271280 of 1459 papers

TitleStatusHype
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
Basic Binary Convolution Unit for Binarized Image Restoration NetworkCode1
Dual Pixel Exploration: Simultaneous Depth Estimation and Image RestorationCode1
BANet: Blur-aware Attention Networks for Dynamic Scene DeblurringCode1
Dynamic Attentive Graph Learning for Image RestorationCode1
DREB-Net: Dual-stream Restoration Embedding Blur-feature Fusion Network for High-mobility UAV Object DetectionCode1
A Variational Perspective on Solving Inverse Problems with Diffusion ModelsCode1
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-TransformerCode1
DRT: A Lightweight Single Image Deraining Recursive TransformerCode1
Show:102550
← PrevPage 28 of 146Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72Unverified
2SRUDCAverage PSNR (dB)27.64Unverified
3RestormerAverage PSNR (dB)26.99Unverified
4WGWSNetAverage PSNR (dB)26.96Unverified
5DGUNetAverage PSNR (dB)26.92Unverified
6OKNetAverage PSNR (dB)26.33Unverified
7MIRNetAverage PSNR (dB)25.97Unverified
8PromptIRAverage PSNR (dB)25.9Unverified
9MPRNetAverage PSNR (dB)25.47Unverified
10MIRNetv2Average PSNR (dB)25.37Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42Unverified
2ESDNetPSNR22.12Unverified
#ModelMetricClaimedVerifiedStatus
1730L37Unverified