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 5951–6000 of 7282 papers

TitleStatusHype
D²Net: A Denoising and Dereverberation Network Based on Two-branch Encoder and Dual-path Transformer—0
Sparse-View X-Ray CT Reconstruction Using _1 Prior with Learned Transform—0
Sparse wavefield reconstruction and denoising with boostlets—0
D3DR: Lighting-Aware Object Insertion in Gaussian Splatting—0
Sparsity and Coefficient Permutation Based Two-Domain AMP for Image Block Compressed Sensing—0
Sparsity-Aware Optimal Transport for Unsupervised Restoration Learning—0
Sparsity Based Autoencoders for Denoising Cluttered Radar Signatures—0
Sparsity Based Methods for Overparameterized Variational Problems—0
DAEs for Linear Inverse Problems: Improved Recovery with Provable Guarantees—0
Sparsity Based Poisson Denoising with Dictionary Learning—0
DAGSM: Disentangled Avatar Generation with GS-enhanced Mesh—0
Sparta: Spatially Attentive and Adversarially Robust Activations—0
Analytical Discovery of Manifold with Machine Learning—0
Dancing under the stars: video denoising in starlight—0
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning—0
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation—0
Analysis Operator Learning and Its Application to Image Reconstruction—0
DarkFarseer: Inductive Spatio-temporal Kriging via Hidden Style Enhancement and Sparsity-Noise Mitigation—0
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation—0
Evaluation of a Low-Cost Single-Lead ECG Module for Vascular Ageing Prediction and Studying Smoking-induced Changes in ECG—0
Data Augmentation for Diverse Voice Conversion in Noisy Environments—0
Spatial-and-Frequency-aware Restoration method for Images based on Diffusion Models—0
Data augmentation versus noise compensation for x- vector speaker recognition systems in noisy environments—0
Data Augmentation via Diffusion Model to Enhance AI Fairness—0
Data Augmentation with Diffusion Models for Colon Polyp Localization on the Low Data Regime: How much real data is enough?—0
Spatial-Aware Latent Initialization for Controllable Image Generation—0
Data denoising with self consistency, variance maximization, and the Kantorovich dominance—0
Data Discovery Using Lossless Compression-Based Sparse Representation—0
spatial-dccrn: dccrn equipped with frame-level angle feature and hybrid filtering for multi-channel speech enhancement—0
Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels—0
Data Dropout: Optimizing Training Data for Convolutional Neural Networks—0
Dataset Creation Pipeline for Camera-Based Heart Rate Estimation—0
Data Synthesis and Iterative Refinement for Neural Semantic Parsing without Annotated Logical Forms—0
DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting—0
Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution—0
Analysis of Fast Alternating Minimization for Structured Dictionary Learning—0
DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization—0
DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning—0
DDIM-Driven Coverless Steganography Scheme with Real Key—0
Spatial-Frequency Attention for Image Denoising—0
Spatial Frequency Bias in Convolutional Generative Adversarial Networks—0
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding—0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition—0
DDPM based X-ray Image Synthesizer—0
DDPM Score Matching and Distribution Learning—0
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion—0
DDRM-PR: Fourier Phase Retrieval using Denoising Diffusion Restoration Models—0
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration—0
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms—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