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 30713080 of 7282 papers

TitleStatusHype
Learned denoising with simulated and experimental low-dose CT data0
Disentangle and denoise: Tackling context misalignment for video moment retrieval0
BSS-CFFMA: Cross-Domain Feature Fusion and Multi-Attention Speech Enhancement Network based on Self-Supervised EmbeddingCode0
Low-Bitwidth Floating Point Quantization for Efficient High-Quality Diffusion Models0
How to Best Combine Demosaicing and Denoising?0
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information0
U-DECN: End-to-End Underwater Object Detection ConvNet with Improved DeNoising TrainingCode0
Evaluating BM3D and NBNet: A Comprehensive Study of Image Denoising Across Multiple Datasets0
Strong denoising of financial time-series0
ReToMe-VA: Recursive Token Merging for Video Diffusion-based Unrestricted Adversarial Attack0
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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