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 27312740 of 7282 papers

TitleStatusHype
Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance ScaleCode1
Robust Graph Neural Network based on Graph DenoisingCode0
The Journey, Not the Destination: How Data Guides Diffusion ModelsCode1
Textual Prompt Guided Image RestorationCode1
DiAD: A Diffusion-based Framework for Multi-class Anomaly DetectionCode2
PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration0
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy LabelsCode1
MalPurifier: Enhancing Android Malware Detection with Adversarial Purification against Evasion AttacksCode1
Optimized View and Geometry Distillation from Multi-view DiffuserCode1
VisionTraj: A Noise-Robust Trajectory Recovery Framework based on Large-scale Camera NetworkCode0
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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