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 6001–6050 of 7282 papers

TitleStatusHype
Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models—0
ResWCAE: Biometric Pattern Image Denoising Using Residual Wavelet-Conditioned Autoencoder—0
Rethinking Circuit Completeness in Language Models: AND, OR, and ADDER Gates—0
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise—0
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data—0
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning—0
Unsupervised Domain Adaptation for Word Sense Disambiguation using Stacked Denoising Autoencoder—0
Unsupervised Fingerphoto Presentation Attack Detection With Diffusion Models—0
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction—0
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction—0
Rethinking Weak Supervision in Helping Contrastive Learning—0
Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection—0
Retinal OCT Denoising with Pseudo-Multimodal Fusion Network—0
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation—0
Retinex-based Image Denoising / Contrast Enhancement using Gradient Graph Laplacian Regularizer—0
Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework—0
Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior—0
ReToMe-VA: Recursive Token Merging for Video Diffusion-based Unrestricted Adversarial Attack—0
Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization—0
ACCORD: Alleviating Concept Coupling through Dependence Regularization for Text-to-Image Diffusion Personalization—0
Retrieval Term Prediction Using Deep Learning Methods—0
Revealing Directions for Text-guided 3D Face Editing—0
Revealing higher-order neural representations of uncertainty with the Noise Estimation through Reinforcement-based Diffusion (NERD) model—0
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report—0
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data—0
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference—0
Reversible Recursive Instance-level Object Segmentation—0
WNet: A data-driven dual-domain denoising model for sparse-view computed tomography with a trainable reconstruction layer—0
Revisit Dictionary Learning for Video Compressive Sensing under the Plug-and-Play Framework—0
Revisiting Adaptive Convolutions for Video Frame Interpolation—0
Revisiting DDIM Inversion for Controlling Defect Generation by Disentangling the Background—0
Acceleration of the PDHGM on strongly convex subspaces—0
Zero-Shot Solving of Imaging Inverse Problems via Noise-Refined Likelihood Guided Diffusion Models—0
Revisiting loss-specific training of filter-based MRFs for image restoration—0
Revisiting Nonlocal Self-Similarity from Continuous Representation—0
Unsupervised Image Denoising with Score Function—0
Revisiting Robust Neural Machine Translation: A Transformer Case Study—0
Revisiting Role of Autoencoders in Adversarial Settings—0
Unsupervised Image Noise Modeling with Self-Consistent GAN—0
Revisiting Transformers with Insights from Image Filtering—0
Reward Incremental Learning in Text-to-Image Generation—0
Rewards-based image analysis in microscopy—0
Reweighted Low-Rank Tensor Decomposition based on t-SVD and its Applications in Video Denoising—0
REWIND: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning—0
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference -- Application to pulsar observations—0
RGB2Point: 3D Point Cloud Generation from Single RGB Images—0
Zero-Shot Translation using Diffusion Models—0
Rhetorical Text-to-Image Generation via Two-layer Diffusion Policy Optimization—0
Rician Denoising Diffusion Probabilistic Models For Sodium Breast MRI Enhancement—0
RIDNet Assisted cGAN Based Channel Estimation for One-Bit ADC mmWave MIMO Systems—0
Show:102550
← PrevPage 121 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