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 951960 of 7282 papers

TitleStatusHype
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applicationsCode1
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category DetectionCode1
Adversarial Distortion Learning for Medical Image DenoisingCode1
An Analysis and Implementation of the HDR+ Burst Denoising MethodCode1
Language-Bridged Spatial-Temporal Interaction for Referring Video Object SegmentationCode1
LAN: Learning to Adapt Noise for Image DenoisingCode1
Are Deep Neural Architectures Losing Information? Invertibility Is IndispensableCode1
Latent-based Diffusion Model for Long-tailed RecognitionCode1
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud CompletionCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
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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