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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1551–1600 of 7282 papers

TitleStatusHype
EZIGen: Enhancing zero-shot personalized image generation with precise subject encoding and decoupled guidanceCode2
Localized Schrödinger Bridge Sampler—0
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification—0
Improving Text-guided Object Inpainting with Semantic Pre-inpaintingCode2
MagicStyle: Portrait Stylization Based on Reference Image—0
Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models—0
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models—0
ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals—0
Exploring User-level Gradient Inversion with a Diffusion Prior—0
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process—0
Structure Modeling Activation Free Fourier Network for Spacecraft Image DenoisingCode0
Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image EnhancementCode1
Realistic and Efficient Face Swapping: A Unified Approach with Diffusion ModelsCode2
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative RefinementCode1
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning—0
Constructing an Interpretable Deep Denoiser by Unrolling Graph Laplacian Regularizer—0
A Practical Gated Recurrent Transformer Network Incorporating Multiple Fusions for Video Denoising—0
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty QuantificationCode0
IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTSCode2
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning—0
Dual convolutional neural network with attention for image blind denoisingCode1
Physics-augmented Deep Learning with Adversarial Domain Adaptation: Applications to STM Image Denoising—0
STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting—0
Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries—0
Multi-Conditioned Denoising Diffusion Probabilistic Model (mDDPM) for Medical Image Synthesis—0
WaveTransfer: A Flexible End-to-end Multi-instrument Timbre Transfer with Diffusion—0
Empirical Bayesian image restoration by Langevin sampling with a denoising diffusion implicit prior—0
Generating High Dimensional User-Specific Wireless Channels using Diffusion Models—0
aTENNuate: Optimized Real-time Speech Enhancement with Deep SSMs on Raw Audio—0
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any ArchitectureCode1
MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos—0
Reliable Deep Diffusion Tensor Estimation: Rethinking the Power of Data-Driven Optimization Routine—0
Diffusion Models Learn Low-Dimensional Distributions via Subspace ClusteringCode1
HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM PromptsCode1
StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion ModelsCode2
LinFusion: 1 GPU, 1 Minute, 16K ImageCode3
TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model—0
PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting—0
3D Priors-Guided Diffusion for Blind Face RestorationCode1
Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics—0
Misaligned Over-The-Air Computation of Multi-Sensor Data with Wiener-Denoiser NetworkCode0
McCaD: Multi-Contrast MRI Conditioned, Adaptive Adversarial Diffusion Model for High-Fidelity MRI Synthesis—0
MoManifold: Learning to Measure 3D Human Motion via Decoupled Joint Acceleration Manifolds—0
Diffusion based multi-domain neuroimaging harmonization method with preservation of anatomical details—0
Self-supervised learning for crystal property prediction via denoising—0
RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance—0
Approximately Invertible Neural Network for Learned Image Compression—0
Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis—0
RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model—0
Enhanced Control for Diffusion Bridge in Image RestorationCode0
Show:102550
← PrevPage 32 of 146Next →
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