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 2301–2350 of 7282 papers

TitleStatusHype
IIDM: Image-to-Image Diffusion Model for Semantic Image SynthesisCode0
Scaling Diffusion Models to Real-World 3D LiDAR Scene CompletionCode3
Eigen-CNN: Eigenimages Plus Eigennoise Level Maps Guided Network for Hyperspectral Image DenoisingCode0
Generalized Consistency Trajectory Models for Image ManipulationCode1
VQ-NeRV: A Vector Quantized Neural Representation for VideosCode1
Depth-guided NeRF Training via Earth Mover's Distance—0
Tuning-Free Image Customization with Image and Text GuidanceCode2
WaveFace: Authentic Face Restoration with Efficient Frequency Recovery—0
Low-Trace Adaptation of Zero-shot Self-supervised Blind Image Denoising—0
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANsCode2
denoiSplit: a method for joint microscopy image splitting and unsupervised denoising—0
One-Step Image Translation with Text-to-Image ModelsCode7
Divide-and-Conquer Posterior Sampling for Denoising Diffusion PriorsCode1
VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model—0
Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising—0
VmambaIR: Visual State Space Model for Image RestorationCode3
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly DetectionCode1
WIA-LD2ND: Wavelet-based Image Alignment for Self-supervised Low-Dose CT DenoisingCode1
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
A Spectrum-based Image Denoising Method with Edge Feature Enhancement—0
MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy ProjectionsCode2
OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion ModelsCode4
StableGarment: Garment-Centric Generation via Stable Diffusion—0
stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation—0
Denoising Task Difficulty-based Curriculum for Training Diffusion Models—0
SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model—0
Skeleton-Based Human Action Recognition with Noisy LabelsCode0
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder—0
ST-LDM: A Universal Framework for Text-Grounded Object Generation in Real Images—0
Hybrid Convolutional and Attention Network for Hyperspectral Image DenoisingCode2
Boundary Matters: A Bi-Level Active Finetuning Framework—0
Cooling-Guide Diffusion Model for Battery Cell Arrangement—0
Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-ExpertsCode2
Intention-aware Denoising Diffusion Model for Trajectory Prediction—0
Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force FieldsCode3
Score-Guided Diffusion for 3D Human RecoveryCode3
An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task LearningCode0
TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural FieldsCode0
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear InterpolationCode0
Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRICode0
An Adaptive Cost-Sensitive Learning and Recursive Denoising Framework for Imbalanced SVM Classification—0
ActionDiffusion: An Action-aware Diffusion Model for Procedure Planning in Instructional Videos—0
MD-Dose: A diffusion model based on the Mamba for radiation dose predictionCode1
eDifFIQA: Towards Efficient Face Image Quality Assessment Based On Denoising Diffusion Probabilistic ModelsCode1
Beyond Text: Frozen Large Language Models in Visual Signal ComprehensionCode2
Interpreting What Typical Fault Signals Look Like via Prototype-matching—0
Boosting Image Restoration via Priors from Pre-trained Models—0
PCLD: Point Cloud Layerwise Diffusion for Adversarial PurificationCode0
Active Generation for Image ClassificationCode0
TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance—0
Show:102550
← PrevPage 47 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