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 10811090 of 7282 papers

TitleStatusHype
Learning to Translate Noise for Robust Image DenoisingCode1
The Silent Prompt: Initial Noise as Implicit Guidance for Goal-Driven Image Generation0
Customized Generation Reimagined: Fidelity and Editability HarmonizedCode1
Latent Space Characterization of Autoencoder Variants0
SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout0
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian NoiseCode4
INFP: Audio-Driven Interactive Head Generation in Dyadic Conversations0
Local Curvature Smoothing with Stein's Identity for Efficient Score Matching0
A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems0
Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image0
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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