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 34613470 of 7282 papers

TitleStatusHype
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise MappingCode1
Addressing Negative Transfer in Diffusion Models0
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds0
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain PackingCode1
Low-Light Image Enhancement with Wavelet-based Diffusion ModelsCode2
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NERCode1
Protein Design with Guided Discrete DiffusionCode1
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models0
Synthetic CT Generation from MRI using 3D Transformer-based Denoising Diffusion ModelCode1
Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model0
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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