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 221230 of 7282 papers

TitleStatusHype
Creatively Upscaling Images with Global-Regional Priors0
Image-to-Image Translation with Diffusion Transformers and CLIP-Based Image Conditioning0
Toward Theoretical Insights into Diffusion Trajectory Distillation via Operator Merging0
Diffusion Probabilistic Generative Models for Accelerated, in-NICU Permanent Magnet Neonatal MRI0
dKV-Cache: The Cache for Diffusion Language ModelsCode2
Adaptive Estimation and Learning under Temporal Distribution Shift0
Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering0
Non-rigid Motion Correction for MRI Reconstruction via Coarse-To-Fine Diffusion Models0
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation TrainerCode1
Beyond Classification: Evaluating Diffusion Denoised Smoothing for Security-Utility Trade off0
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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