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 26012610 of 7282 papers

TitleStatusHype
GeoPos: A Minimal Positional Encoding for Enhanced Fine-Grained Details in Image Synthesis Using Convolutional Neural Networks0
Robust single-particle cryo-EM image denoising and restoration0
DiffLoc: Diffusion Model for Outdoor LiDAR LocalizationCode2
DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans0
Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural NetworkCode1
TIGER: Time-Varying Denoising Model for 3D Point Cloud Generation with Diffusion ProcessCode1
Slice3D: Multi-Slice Occlusion-Revealing Single View 3D Reconstruction0
Taming Stable Diffusion for Text to 360 Panorama Image Generation0
ScoreHypo: Probabilistic Human Mesh Estimation with Hypothesis Scoring0
FlowDiffuser: Advancing Optical Flow Estimation with Diffusion ModelsCode2
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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