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 29112920 of 7282 papers

TitleStatusHype
Generative Edge Detection with Stable Diffusion0
Generative Model for Heterogeneous Inference0
D²Net: A Denoising and Dereverberation Network Based on Two-branch Encoder and Dual-path Transformer0
FFDNet-Based Channel Estimation for Massive MIMO Visible Light Communication Systems0
EVRNet: Efficient Video Restoration on Edge Devices0
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising0
Convolution by Evolution: Differentiable Pattern Producing Networks0
Evolvable Conditional Diffusion0
Evolution Meets Diffusion: Efficient Neural Architecture Generation0
ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance0
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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