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 4951–5000 of 7282 papers

TitleStatusHype
MDPose: Human Skeletal Motion Reconstruction Using WiFi Micro-Doppler Signatures—0
MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion Projection—0
MDSGen: Fast and Efficient Masked Diffusion Temporal-Aware Transformers for Open-Domain Sound Generation—0
Towards High-quality HDR Deghosting with Conditional Diffusion Models—0
Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation—0
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora—0
MedDiff-FM: A Diffusion-based Foundation Model for Versatile Medical Image Applications—0
MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model—0
MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI—0
MedGAN: Medical Image Translation using GANs—0
Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts—0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs—0
Recent Progress in Transformer-based Medical Image Analysis—0
Medical Image Denosing via Explainable AI Feature Preserving Loss—0
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising—0
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation—0
Adaptive Segmentation-Based Initialization for Steered Mixture of Experts Image Regression—0
Megapixel Photon-Counting Color Imaging using Quanta Image Sensor—0
Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR—0
Memoized Online Variational Inference for Dirichlet Process Mixture Models—0
Towards Making the Most of Pre-trained Translation Model for Quality Estimation—0
Towards Memorization-Free Diffusion Models—0
Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner—0
Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative Memories and Diffusion Models—0
Mesh Denoising based on Normal Voting Tensor and Binary Optimization—0
Mesh Denoising Transformer—0
Mesh Denoising via Cascaded Normal Regression—0
MeshUp: Multi-Target Mesh Deformation via Blended Score Distillation—0
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning—0
MetaDIP: Accelerating Deep Image Prior with Meta Learning—0
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation—0
Meta Ensemble for Japanese-Chinese Neural Machine Translation: Kyoto-U+ECNU Participation to WAT 2020—0
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis—0
Meta-Optimization of Deep CNN for Image Denoising Using LSTM—0
Method for motion artifact reduction using a convolutional neural network for dynamic contrast enhanced MRI of the liver—0
Metric Convolutions: A Unifying Theory to Adaptive Convolutions—0
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals—0
Metropolis Sampling for Constrained Diffusion Models—0
MFR-Net: Multi-faceted Responsive Listening Head Generation via Denoising Diffusion Model—0
MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery—0
MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud Processing—0
Microarrays denoising via smoothing of coefficients in wavelet domain—0
Adaptive Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising and Destriping—0
Towards more transferable adversarial attack in black-box manner—0
Microseismic events enhancement and detection in sensor arrays using autocorrelation based filtering—0
Weakly-supervised Audio-visual Sound Source Detection and Separation—0
Towards Precise Embodied Dialogue Localization via Causality Guided Diffusion—0
MIEHDR CNN: Main Image Enhancement based Ghost-Free High Dynamic Range Imaging using Dual-Lens Systems—0
MIGA: Mutual Information-Guided Attack on Denoising Models for Semantic Manipulation—0
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework—0
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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