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Image Denoising
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Image Denoising is a computer vision task that involves removing noise from an image. Noise can be introduced into an image during acquisition or processing, and can reduce image quality and make it difficult to interpret. Image denoising techniques aim to restore an image to its original quality by reducing or removing the noise, while preserving the important features of the image.
<span style="color:grey; opacity: 0.6">( Image credit: Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --
Skip-Attention: Improving Vision Transformers by Paying Less Attention
WIRE: Wavelet Implicit Neural Representations
Task-specific Scene Structure Representations
Group Sparse Coding for Image Denoising
Single Cell Training on Architecture Search for Image Denoising
Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising
Learning to adapt unknown noise for hyperspectral image denoising
FSID: Fully Synthetic Image Denoising via Procedural Scene Generation
Domino Denoise: An Accurate Blind Zero-Shot Denoiser using Domino Tilings
Quantum median filter for Total Variation image denoising
Fast Algorithm for Constrained Linear Inverse Problems
Linear Combinations of Patches are Unreasonably Effective for Single-Image Denoising
Gradient Domain Weighted Guided Image Filtering
Learn to See Faster: Pushing the Limits of High-Speed Camera with Deep Underexposed Image Denoising
SinDDM: A Single Image Denoising Diffusion Model
Improved Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
CFNet: Conditional Filter Learning with Dynamic Noise Estimation for Real Image Denoising
Spatial-Spectral Transformer for Hyperspectral Image Denoising
On the impact of incorporating task-information in learning-based image denoising
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images
Adaptive Dynamic Filtering Network for Image Denoising
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
Patch-Craft Self-Supervised Training for Correlated Image Denoising
N2V2 -- Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature Denoiser
A Comprehensive Survey of Transformers for Computer Vision
Lightweight network towards real-time image denoising on mobile devices
Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence
On the Benefit of Dual-domain Denoising in a Self-supervised Low-dose CT Setting
LBF:Learnable Bilateral Filter For Point Cloud Denoising
Perceptual Image Enhancement for Smartphone Real-Time Applications
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report
LW-ISP: A Lightweight Model with ISP and Deep Learning
Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence
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