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

Showing 676700 of 7282 papers

TitleStatusHype
Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsCode1
Coarse-To-Fine Tensor Trains for Compact Visual RepresentationsCode1
Multivector Neurons: Better and Faster O(n)-Equivariant Clifford Graph Neural NetworksCode1
TIDMAD: Time Series Dataset for Discovering Dark Matter with AI DenoisingCode1
Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion ModelsCode1
DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised h-transformCode1
Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity RecognitionCode1
Diffusion Policies creating a Trust Region for Offline Reinforcement LearningCode1
DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the WildCode1
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model DynamicsCode1
OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects SupervisionCode1
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-ResolutionCode1
Learning to Discretize Denoising Diffusion ODEsCode1
Adversarial Schrödinger Bridge MatchingCode1
I^2VC: A Unified Framework for Intra- & Inter-frame Video CompressionCode1
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-DiffusionCode1
RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image DehazingCode1
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction DetectionCode1
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation LearningCode1
Structure-based drug design by denoising voxel gridsCode1
AdsorbDiff: Adsorbate Placement via Conditional Denoising DiffusionCode1
Diff-IP2D: Diffusion-Based Hand-Object Interaction Prediction on Egocentric VideosCode1
CCDM: Continuous Conditional Diffusion Models for Image GenerationCode1
A text-based, generative deep learning model for soil reflectance spectrum simulation in the VIS-NIR (400-2499 nm) bandsCode1
Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image TransmissionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified