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 1151–1175 of 7282 papers

TitleStatusHype
HNeRV: A Hybrid Neural Representation for VideosCode1
Illuminating Darkness: Enhancing Real-world Low-light Scenes with Smartphone ImagesCode1
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic ModelsCode1
Deep Audio Waveform PriorCode1
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot ClassificationCode1
CLIP-Diffusion-LM: Apply Diffusion Model on Image CaptioningCode1
Deep Convolutional Denoising of Low-Light ImagesCode1
Deep Convolutional Dictionary Learning for Image DenoisingCode1
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image RestorationCode1
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceCode1
Deep Diversity-Enhanced Feature Representation of Hyperspectral ImagesCode1
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting SurfacesCode1
clip2latent: Text driven sampling of a pre-trained StyleGAN using denoising diffusion and CLIPCode1
Deep Energy Estimator NetworksCode1
Deep Equilibrium Approaches to Diffusion ModelsCode1
Image Super-Resolution via Iterative RefinementCode1
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh ReconstructionCode1
D2C: Diffusion-Denoising Models for Few-shot Conditional GenerationCode1
CycleISP: Real Image Restoration via Improved Data SynthesisCode1
Combating Bilateral Edge Noise for Robust Link PredictionCode1
High Perceptual Quality Wireless Image Delivery with Denoising Diffusion ModelsCode1
Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsCode1
Deep learning architectural designs for super-resolution of noisy imagesCode1
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation TrainerCode1
High-quality Image Dehazing with Diffusion ModelCode1
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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