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 35013510 of 7282 papers

TitleStatusHype
Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution0
Multi-Scale Texture Loss for CT denoising with GANsCode0
Distilling Semantic Priors from SAM to Efficient Image Restoration Models0
AnimateMe: 4D Facial Expressions via Diffusion Models0
Gaze-guided Hand-Object Interaction Synthesis: Dataset and Method0
Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane0
R3CD: Scene Graph to Image Generation with Relation-aware Compositional Contrastive Control Diffusion0
Ultrasound Imaging based on the Variance of a Diffusion Restoration ModelCode0
TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization0
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data0
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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