SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

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Showing 4751–4800 of 7282 papers

TitleStatusHype
MAXIM: Multi-Axis MLP for Image ProcessingCode3
Hyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization—0
A Cross Validation Framework for Signal Denoising with Applications to Trend Filtering, Dyadic CART and Beyond—0
Block Walsh-Hadamard Transform Based Binary Layers in Deep Neural Networks—0
Deep Ultrasound Denoising Without Clean Data—0
Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness—0
Automatic Muscle Artifacts Identification and Removal from Single-Channel EEG Using Wavelet Transform with Meta-heuristically Optimized Non-local Means Filter—0
Image Denoising with Control over Deep Network HallucinationCode0
Fast and High-Quality Image Denoising via Malleable Convolutions—0
Learning Self-prior for Mesh Denoising using Dual Graph Convolutional NetworksCode1
TWIST: Two-Way Inter-Label Self-Training for Semi-Supervised 3D Instance SegmentationCode0
Memory-Augmented Deep Conditional Unfolding Network for Pan-SharpeningCode1
KNN Local Attention for Image Restoration—0
Neural Prior for Trajectory Estimation—0
Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising NetworksCode1
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging—0
Exploring Denoised Cross-Video Contrast for Weakly-Supervised Temporal Action Localization—0
A Low-Cost & Real-Time Motion Capture System—0
Subspace modeling for fast and high-sensitivity X-ray chemical imaging—0
Task-specific Optimization of Virtual Channel Linear Prediction-based Speech Dereverberation Front-End for Far-Field Speaker VerificationCode0
Image Edge Restoring Filter—0
Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives—0
Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors—0
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images—0
Manifold Learning Benefits GANs—0
Exploring Inter-frequency Guidance of Image for Lightweight Gaussian DenoisingCode0
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?—0
High-Resolution Image Synthesis with Latent Diffusion ModelsCode4
Denoised Labels for Financial Time-Series Data via Self-Supervised Learning—0
On Efficient Transformer-Based Image Pre-training for Low-Level VisionCode1
Multimeasurement Generative ModelsCode0
Procedural Kernel Networks—0
Heavy-tailed denoising score matchingCode0
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-Trained Siamese Transformers—0
Neuromorphic Camera Denoising using Graph Neural Network-driven TransformersCode1
Sparse Coding with Multi-Layer Decoders using Variance RegularizationCode1
A Novel Image Denoising Algorithm Using Concepts of Quantum Many-Body Theory—0
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image PipelinesCode0
Supervised learning of analysis-sparsity priors with automatic differentiation—0
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation—0
CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising—0
Step-unrolled Denoising Autoencoders for Text GenerationCode1
N-SfC: Robust and Fast Shape Estimation from Caustic Images—0
Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical FlowCode1
More Control for Free! Image Synthesis with Semantic Diffusion Guidance—0
Superpixel-Based Building Damage Detection from Post-earthquake Imagery Using Deep Neural Networks—0
Improving Image Restoration by Revisiting Global Information AggregationCode2
Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images—0
A Robust Completed Local Binary Pattern (RCLBP) for Surface Defect Detection—0
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud CompletionCode1
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified