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 35413550 of 7282 papers

TitleStatusHype
ISP meets Deep Learning: A Survey on Deep Learning Methods for Image Signal Processing0
SIDAR: Synthetic Image Dataset for Alignment & RestorationCode0
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy0
The probability flow ODE is provably fast0
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic ModelingCode1
Reciprocal Attention Mixing Transformer for Lightweight Image RestorationCode1
PTQD: Accurate Post-Training Quantization for Diffusion ModelsCode1
Adaptive Graph Contrastive Learning for RecommendationCode1
NODE-ImgNet: a PDE-informed effective and robust model for image denoisingCode0
GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework0
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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