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 26512660 of 7282 papers

TitleStatusHype
Towards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis0
Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO ImagingCode1
Toward Accurate and Temporally Consistent Video Restoration from Raw DataCode1
A Comprehensive Study of Object Tracking in Low-Light Environments0
High-Fidelity Diffusion-based Image Editing0
Diffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion Models0
Automatic Tooth Arrangement with Joint Features of Point and Mesh Representations via Diffusion Probabilistic Models0
AI Generated Signal for Wireless Sensing0
Emage: Non-Autoregressive Text-to-Image Generation0
Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware DenoisingCode0
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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