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 34213430 of 7282 papers

TitleStatusHype
Beyond Surface Statistics: Scene Representations in a Latent Diffusion ModelCode1
Motion-DVAE: Unsupervised learning for fast human motion denoising0
Protein Discovery with Discrete Walk-Jump SamplingCode1
Joint Channel Estimation and Feedback with Masked Token Transformers in Massive MIMO Systems0
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion ProcessCode1
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping0
Multi-Architecture Multi-Expert Diffusion Models0
Normalization-Equivariant Neural Networks with Application to Image DenoisingCode1
HQ-50K: A Large-scale, High-quality Dataset for Image RestorationCode1
Convolutional Recurrent Neural Network with Attention for 3D Speech Enhancement0
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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