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 1551–1600 of 7282 papers

TitleStatusHype
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme ConditionsCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
CCDM: Continuous Conditional Diffusion Models for Image GenerationCode1
Deep Audio Waveform PriorCode1
GFPose: Learning 3D Human Pose Prior with Gradient FieldsCode1
Deep Recurrent Neural Networks for ECG Signal DenoisingCode1
Goal-Conditioned Imitation Learning using Score-based Diffusion PoliciesCode1
AKDT: Adaptive Kernel Dilation Transformer for Effective Image DenoisingCode1
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property PredictionCode1
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication SystemsCode1
Lite Audio-Visual Speech EnhancementCode1
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion ModelCode1
Robust Image Denoising through Adversarial Frequency MixupCode1
Deep Convolutional Denoising of Low-Light ImagesCode1
Deep Convolutional Dictionary Learning for Image DenoisingCode1
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View SynthesisCode1
Autoencoders that don't overfit towards the IdentityCode1
AdaGNN: Graph Neural Networks with Adaptive Frequency Response FilterCode1
GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise ModelingCode1
GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant AttentionCode1
Rotation-Equivariant Self-Supervised Method in Image DenoisingCode1
RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image DehazingCode1
LIPT: Latency-aware Image Processing TransformerCode1
Deep Denoising For Scientific Discovery: A Case Study In Electron MicroscopyCode1
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional NetworksCode1
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting SurfacesCode1
Adaptive Cross-Layer Attention for Image RestorationCode1
Guided Diffusion Model for Adversarial PurificationCode1
Lightweight Modules for Efficient Deep Learning based Image RestorationCode1
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World DenoisingCode1
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-DiffusionCode1
HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer AccelerationCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
LIR: A Lightweight Baseline for Image RestorationCode1
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and DeblurringCode1
Heterogeneous window transformer for image denoisingCode1
AutoMat: Enabling Automated Crystal Structure Reconstruction from Microscopy via Agentic Tool UseCode1
Deep Energy Estimator NetworksCode1
Deep Equilibrium Approaches to Diffusion ModelsCode1
Automatically identifying ordinary differential equations from dataCode1
Adaptive Deep PnP Algorithm for Video Snapshot Compressive ImagingCode1
Str2Str: A Score-based Framework for Zero-shot Protein Conformation SamplingCode1
LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry PiCode1
Legacy Photo Editing with Learned Noise PriorCode1
Less is More: Reweighting Important Spectral Graph Features for RecommendationCode1
Solving Inverse Physics Problems with Score MatchingCode1
Accelerated MRI with Un-trained Neural NetworksCode1
A deep network for sinogram and CT image reconstructionCode1
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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