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 16011625 of 7282 papers

TitleStatusHype
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding OptimizationCode1
Protein Design with Guided Discrete DiffusionCode1
Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEGCode1
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image ReconstructionCode1
Denoising: from classical methods to deep CNNsCode1
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion ModelCode1
Deep Image PriorCode1
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image DenoisingCode1
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model DynamicsCode1
Pyramid Attention Networks for Image RestorationCode1
Pyramid Diffusion Models For Low-light Image EnhancementCode1
Quantum circuit synthesis with diffusion modelsCode1
Quantum Denoising Diffusion ModelsCode1
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation TrainerCode1
Adaptive Differential Denoising for Respiratory Sounds ClassificationCode1
Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion ModelCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
Random Sub-Samples Generation for Self-Supervised Real Image DenoisingCode1
DiffDA: a Diffusion Model for Weather-scale Data AssimilationCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative RefinementCode1
Real-time Controllable Denoising for Image and VideoCode1
DiAMoNDBack: Diffusion-denoising Autoregressive Model for Non-Deterministic Backmapping of Cα Protein TracesCode1
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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