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 34313440 of 7282 papers

TitleStatusHype
OneActor: Consistent Character Generation via Cluster-Conditioned Guidance0
HSIDMamba: Exploring Bidirectional State-Space Models for Hyperspectral Denoising0
In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation0
Masked and Shuffled Blind Spot Denoising for Real-World Images0
TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models0
Lossy Image Compression with Foundation Diffusion Models0
Multibranch Generative Models for Multichannel Imaging with an Application to PET/CT Synergistic Reconstruction0
Synthesis of Through-Wall Micro-Doppler Signatures of Human Motions Using Generative Adversarial Networks0
ConsistencyDet: A Few-step Denoising Framework for Object Detection Using the Consistency ModelCode0
Move Anything with Layered Scene Diffusion0
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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