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 26212630 of 7282 papers

TitleStatusHype
HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models0
Robust Image Denoising through Adversarial Frequency MixupCode1
Dual Prior Unfolding for Snapshot Compressive ImagingCode1
Towards More Accurate Diffusion Model Acceleration with A Timestep TunerCode0
GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors0
Inversion-Free Image Editing with Language-Guided Diffusion ModelsCode3
CoDe: An Explicit Content Decoupling Framework for Image Restoration0
Hyper-MD: Mesh Denoising with Customized Parameters Aware of Noise Intensity and Geometric Characteristics0
Real-World Mobile Image Denoising Dataset with Efficient BaselinesCode2
DiffusionTrack: Point Set Diffusion Model for Visual Object TrackingCode0
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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