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 35313540 of 7282 papers

TitleStatusHype
stMCDI: Masked Conditional Diffusion Model with Graph Neural Network for Spatial Transcriptomics Data Imputation0
Boundary Matters: A Bi-Level Active Finetuning Framework0
Denoising Task Difficulty-based Curriculum for Training Diffusion Models0
ST-LDM: A Universal Framework for Text-Grounded Object Generation in Real Images0
SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model0
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder0
Skeleton-Based Human Action Recognition with Noisy LabelsCode0
Cooling-Guide Diffusion Model for Battery Cell Arrangement0
Intention-aware Denoising Diffusion Model for Trajectory Prediction0
An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task LearningCode0
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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