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 3151–3200 of 7282 papers

TitleStatusHype
Denoising Diffusion Gamma Models—0
A Multi-Modal Unsupervised Machine Learning Approach for Biomedical Signal Processing in CPR—0
Denoising Diffusion for Sampling SAT Solutions—0
Denoising Diffusion for 3D Hand Pose Estimation from Images—0
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network—0
Denoising Diffusion Error Correction Codes—0
Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation—0
Adaptive Regularization of Some Inverse Problems in Image Analysis—0
Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographs—0
Bi-Directional MS Lesion Filling and Synthesis Using Denoising Diffusion Implicit Model-based Lesion Repainting—0
Bidirectional Language Models Are Also Few-shot Learners—0
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties—0
Denoising Dictionary Learning Against Adversarial Perturbations—0
Bias for Action: Video Implicit Neural Representations with Bias Modulation—0
Denoising Designs-inherited Search Framework for Image Denoising—0
Bias and variance reduction and denoising for CTF Estimation—0
A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising—0
Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems—0
Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion—0
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation—0
Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models—0
Predicting the Radiation Field of Molecular Clouds using Denoising Diffusion Probabilistic Models—0
Denoising Criterion for Variational Auto-Encoding Framework—0
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning—0
Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering—0
Denoising Click-evoked Otoacoustic Emission Signals by Optimal Shrinkage—0
The Missing U for Efficient Diffusion Models—0
Denoising bivariate signals via smoothing and polarization priors—0
Denoising-based UNMT is more robust to word-order divergence than MASS-based UNMT—0
Denoising-based Turbo Message Passing for Compressed Video Background Subtraction—0
A multi-artifact EEG denoising by frequency-based deep learning—0
Denoising based Sequence-to-Sequence Pre-training for Text Generation—0
Denoising based on wavelets and deblurring via self-organizing map for Synthetic Aperture Radar images—0
Denoising-based image reconstruction from pixels located at non-integer positions—0
Denoising Autoregressive Representation Learning—0
Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation—0
Beyond Pixels: Leveraging the Language of Soccer to Improve Spatio-Temporal Action Detection in Broadcast Videos—0
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation—0
Adaptive noise imitation for image denoising—0
Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling—0
Denoising Autoencoders for Overgeneralization in Neural Networks—0
Beyond Photo Realism for Domain Adaptation from Synthetic Data—0
Denoising Autoencoder-based Defensive Distillation as an Adversarial Robustness Algorithm—0
Beyond Oversmoothing: Evaluating DDPM and MSE for Scalable Speech Synthesis in ASR—0
Amortised MAP Inference for Image Super-resolution—0
Denoising Attention for Query-aware User Modeling in Personalized Search—0
Denoising Atmospheric Temperature Measurements Taken by the Mars Science Laboratory on the Martian Surface—0
Denoising Arterial Spin Labeling Cerebral Blood Flow Images Using Deep Learning—0
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models—0
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19—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