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 20612070 of 7282 papers

TitleStatusHype
Physics-aware Hand-object Interaction Denoising0
MAMCA -- Optimal on Accuracy and Efficiency for Automatic Modulation Classification with Extended Signal LengthCode2
Double Correction Framework for Denoising RecommendationCode0
On the Trajectory Regularity of ODE-based Diffusion SamplingCode3
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score MatchingCode2
TexPainter: Generative Mesh Texturing with Multi-view ConsistencyCode2
TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy0
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-DiffusionCode1
Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode Multi-view Latent Diffusion0
VisioBlend: Sketch and Stroke-Guided Denoising Diffusion Probabilistic Model for Realistic Image Generation0
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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