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 1251–1275 of 7282 papers

TitleStatusHype
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy BiasesCode1
AR-DAE: Towards Unbiased Neural Entropy Gradient EstimationCode1
AR-Diffusion: Auto-Regressive Diffusion Model for Text GenerationCode1
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic ModelsCode1
Classifier-free Guidance with Adaptive ScalingCode1
Progressive Correspondence Pruning by Consensus LearningCode1
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsCode1
3D molecule generation by denoising voxel gridsCode1
Image Deconvolution via Noise-Tolerant Self-Supervised InversionCode1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsCode1
LIPT: Latency-aware Image Processing TransformerCode1
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-CaseCode1
Image Denoising and the Generative Accumulation of PhotonsCode1
DDIM sampling for Generative AIBIM, a faster intelligent structural design frameworkCode1
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud CompletionCode1
A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large ShiftCode1
Image Denoising Using Green Channel PriorCode1
Are Diffusion Models Vision-And-Language Reasoners?Code1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical FlowCode1
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse DiffusionCode1
Data-Centric Learning from Unlabeled Graphs with Diffusion ModelCode1
Exploring the Loss Landscape in Neural Architecture SearchCode1
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
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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