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 3501–3550 of 7282 papers

TitleStatusHype
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice ConversionCode2
Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition—0
Efficient Neural Music Generation—0
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)Code1
Weakly-Supervised Speech Pre-training: A Case Study on Target Speech Recognition—0
Anomaly Detection with Conditioned Denoising Diffusion ModelsCode2
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time StepsCode1
A Neural Space-Time Representation for Text-to-Image PersonalizationCode1
SAIL: Search-Augmented Instruction Learning—0
Least Squares Regression Can Exhibit Under-Parameterized Double Descent—0
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal FusionCode0
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions—0
From Shortcuts to Triggers: Backdoor Defense with Denoised PoECode0
Sin3DM: Learning a Diffusion Model from a Single 3D Textured ShapeCode1
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity RecognitionCode2
Textless Speech-to-Speech Translation With Limited Parallel DataCode0
DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Models—0
Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography—0
Multi-Echo Denoising in Adverse WeatherCode1
When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale—0
Masked Modeling Duo for Speech: Specializing General-Purpose Audio Representation to Speech using Denoising Distillation—0
MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking—0
A Dive into SAM Prior in Image Restoration—0
Realistic Noise Synthesis with Diffusion ModelsCode0
WaveDM: Wavelet-Based Diffusion Models for Image RestorationCode1
MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase SpectraCode2
It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for RecommendationCode1
ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer—0
Extrapolating Multilingual Understanding Models as Multilingual Generators—0
DiffusionNER: Boundary Diffusion for Named Entity RecognitionCode1
Restore Anything Pipeline: Segment Anything Meets Image RestorationCode1
Sparsity and Coefficient Permutation Based Two-Domain AMP for Image Block Compressed Sensing—0
Why current rain denoising models fail on CycleGAN created rain images in autonomous driving—0
Training Diffusion Models with Reinforcement LearningCode2
DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting—0
Guided Motion Diffusion for Controllable Human Motion Synthesis—0
DiffUCD:Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model—0
Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIsCode1
Moment Matching Denoising Gibbs SamplingCode0
ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing—0
SIDAR: Synthetic Image Dataset for Alignment & RestorationCode0
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy—0
The probability flow ODE is provably fast—0
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic ModelingCode1
Reciprocal Attention Mixing Transformer for Lightweight Image RestorationCode1
PTQD: Accurate Post-Training Quantization for Diffusion ModelsCode1
Adaptive Graph Contrastive Learning for RecommendationCode1
NODE-ImgNet: a PDE-informed effective and robust model for image denoisingCode0
GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion 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