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 2051–2100 of 7282 papers

TitleStatusHype
Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model ComplexityCode0
Conditioning diffusion models by explicit forward-backward bridgingCode0
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation—0
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods—0
Directly Denoising Diffusion Models—0
Score-based Generative Models with Adaptive Momentum—0
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech TranslationCode0
DARK: Denoising, Amplification, Restoration KitCode0
Hybrid Digital-Analog Semantic Communications—0
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators—0
Physics-aware Hand-object Interaction Denoising—0
MAMCA -- Optimal on Accuracy and Efficiency for Automatic Modulation Classification with Extended Signal LengthCode2
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score MatchingCode2
On the Trajectory Regularity of ODE-based Diffusion SamplingCode3
Double Correction Framework for Denoising RecommendationCode0
TexPainter: Generative Mesh Texturing with Multi-view ConsistencyCode2
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-DiffusionCode1
TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy—0
Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion—0
VisioBlend: Sketch and Stroke-Guided Denoising Diffusion Probabilistic Model for Realistic Image Generation—0
UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning—0
Response Matching for generating materials and molecules—0
RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image DehazingCode1
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models—0
UnMarker: A Universal Attack on Defensive Image WatermarkingCode3
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction DetectionCode1
Do Bayesian imaging methods report trustworthy probabilities?—0
FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival—0
SAR Image Synthesis with Diffusion Models—0
Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising—0
Input Snapshots Fusion for Scalable Discrete Dynamic Graph Nerual Networks—0
Deep MMD Gradient Flow without adversarial training—0
Self-Consistent Recursive Diffusion Bridge for Medical Image TranslationCode2
Compression-Realized Deep Structural Network for Video Quality Enhancement—0
Mesh Denoising Transformer—0
Array SAR 3D Sparse Imaging Based on Regularization by Denoising Under Few Observed Data—0
supDQN: Supervised Rewarding Strategy Driven Deep Q-Network for sEMG Signal Decontamination—0
StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation Framework—0
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation LearningCode1
Fast LiDAR Upsampling using Conditional Diffusion ModelsCode0
Dual-domain Collaborative Denoising for Social Recommendation—0
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation—0
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion ModelsCode2
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models—0
Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric VideosCode1
Structure-based drug design by denoising voxel gridsCode1
AdsorbDiff: Adsorbate Placement via Conditional Denoising DiffusionCode1
Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction—0
All-in-One Deep Learning Framework for MR Image Reconstruction—0
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models—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