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 15511560 of 7282 papers

TitleStatusHype
Critically Damped Third-Order Langevin Dynamics0
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification0
EZIGen: Enhancing zero-shot personalized image generation with precise subject encoding and decoupled guidanceCode2
Improving Text-guided Object Inpainting with Semantic Pre-inpaintingCode2
Localized Schrödinger Bridge Sampler0
Efficient and Unbiased Sampling of Boltzmann Distributions via Consistency Models0
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models0
ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals0
Structure Modeling Activation Free Fourier Network for Spacecraft Image DenoisingCode0
Realistic and Efficient Face Swapping: A Unified Approach 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