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 831840 of 7282 papers

TitleStatusHype
EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion GenerationCode1
Fully Spiking Denoising Diffusion Implicit ModelsCode1
Unsupervised Anomaly Detection using Aggregated Normative DiffusionCode1
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud UpsamplingCode1
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under UncertaintyCode1
SynFundus-1M: A High-quality Million-scale Synthetic fundus images Dataset with Fifteen Types of AnnotationCode1
Contrastive Denoising Score for Text-guided Latent Diffusion Image EditingCode1
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion ModelCode1
MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and EditingCode1
SODA: Bottleneck Diffusion Models for Representation LearningCode1
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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