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 30113020 of 7282 papers

TitleStatusHype
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path TracingCode0
Analysis of learning a flow-based generative model from limited sample complexityCode0
Denoising Diffusion Step-aware ModelsCode1
ACT-Net: Anchor-context Action Detection in Surgery Videos0
Efficient Video and Audio processing with Loihi 20
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion ModelsCode1
Aligning Text-to-Image Diffusion Models with Reward BackpropagationCode2
A Complementary Global and Local Knowledge Network for Ultrasound denoising with Fine-grained RefinementCode0
Certification of Deep Learning Models for Medical Image SegmentationCode0
Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator0
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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