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 12211230 of 7282 papers

TitleStatusHype
V2X-R: Cooperative LiDAR-4D Radar Fusion for 3D Object Detection with Denoising DiffusionCode2
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT DenoisingCode1
Explainable Deep Learning Framework for SERS Bio-quantification0
Joint multi-dimensional dynamic attention and transformer for general image restorationCode1
ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow PredictionCode1
SoundSil-DS: Deep Denoising and Segmentation of Sound-field Images with SilhouettesCode0
MRI denoising with a non-blind deep complex-valued convolutional neural network0
Efficient Denoising Method to Improve The Resolution of Satellite Images0
White-Box Diffusion Transformer for single-cell RNA-seq generationCode0
PLM-Based Discrete Diffusion Language Models with Entropy-Adaptive Gibbs Sampling0
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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