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 1251–1300 of 1459 papers

TitleStatusHype
Blur Invariant Kernel-Adaptive Network for Single Image Blind deblurring—0
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models—0
Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction—0
Lottery Image Prior—0
Low-Light Image Restoration Based on Retina Model using Neural Networks—0
Low-light Image Restoration with Short- and Long-exposure Raw Pairs—0
Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation—0
Low-rank Matrix Factorization under General Mixture Noise Distributions—0
Low Rank Quaternion Matrix Recovery via Logarithmic Approximation—0
LTCF-Net: A Transformer-Enhanced Dual-Channel Fourier Framework for Low-Light Image Restoration—0
LuminanceL1Loss: A loss function which measures percieved brightness and colour differences—0
Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision—0
Lunar surface image restoration using U-net based deep neural networks—0
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration—0
SDAT: Sub-Dataset Alternation Training for Improved Image Demosaicing—0
Making the Invisible Visible: Toward High-Quality Terahertz Tomographic Imaging via Physics-Guided Restoration—0
Manifold-aware Representation Learning for Degradation-agnostic Image Restoration—0
Manifold Based Low-rank Regularization for Image Restoration and Semi-supervised Learning—0
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior"—0
Matrix Completion via Residual Spectral Matching—0
Matrix Factorisation with Linear Filters—0
Maximum a Posteriori on a Submanifold: a General Image Restoration Method with GAN—0
Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging—0
MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results—0
MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond—0
Mixed Degradation Image Restoration via Local Dynamic Optimization and Conditional Embedding—0
Mobile Image Restoration via Prior Quantization—0
Mockingbird at the SIGTYP 2022 Shared Task: Two Types of Models forthe Prediction of Cognate Reflexes—0
Point Spread Function Estimation for Wide Field Small Aperture Telescopes with Deep Neural Networks and Calibration Data—0
MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration—0
MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior—0
Motion Deblurring using Spatiotemporal Phase Aperture Coding—0
MRIR: Integrating Multimodal Insights for Diffusion-based Realistic Image Restoration—0
MRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers—0
MSP-Former: Multi-Scale Projection Transformer for Single Image Desnowing—0
MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility—0
Multi-Agent Image Restoration—0
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks—0
MultiColor: Image Colorization by Learning from Multiple Color Spaces—0
Multi-defect microscopy image restoration under limited data conditions—0
Multiframe-based Adaptive Despeckling Algorithm for Ultrasound B-mode Imaging with Superior Edge and Texture—0
Multi-level Attention-guided Graph Neural Network for Image Restoration—0
Multi-level Encoder-Decoder Architectures for Image Restoration—0
Multimodal Diffusion Bridge with Attention-Based SAR Fusion for Satellite Image Cloud Removal—0
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration—0
Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration—0
Multi-Objective CNN Based Algorithm for SAR Despeckling—0
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration—0
Multi-Scale Face Restoration with Sequential Gating Ensemble Network—0
Multi-scale Frequency Enhancement Network for Blind Image Deblurring—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