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 35013510 of 7282 papers

TitleStatusHype
Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition0
Efficient Neural Music Generation0
Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)Code1
Weakly-Supervised Speech Pre-training: A Case Study on Target Speech Recognition0
Anomaly Detection with Conditioned Denoising Diffusion ModelsCode2
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image DenoisingCode1
UDPM: Upsampling Diffusion Probabilistic ModelsCode1
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time StepsCode1
A Neural Space-Time Representation for Text-to-Image PersonalizationCode1
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal FusionCode0
Show:102550
← PrevPage 351 of 729Next →

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