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 7180 of 7282 papers

TitleStatusHype
DiffPR: Diffusion-Based Phase Reconstruction via Frequency-Decoupled Learning0
Joint Denoising of Cryo-EM Projection Images using Polar Transformers0
Revisiting Transformers with Insights from Image Filtering0
High-resolution efficient image generation from WiFi CSI using a pretrained latent diffusion model0
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust RecommendationCode0
Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning0
Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal BoundsCode0
Time-Unified Diffusion Policy with Action Discrimination for Robotic Manipulation0
Diffusion prior as a direct regularization term for FWI0
A Deep Generative Model for the Simulation of Discrete Karst Networks0
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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