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 27812790 of 7282 papers

TitleStatusHype
Unsupervised Anomaly Detection using Aggregated Normative DiffusionCode1
Equivariant plug-and-play image reconstruction0
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud UpsamplingCode1
Slice3D: Multi-Slice, Occlusion-Revealing, Single View 3D Reconstruction0
AAMDM: Accelerated Auto-regressive Motion Diffusion Model0
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under UncertaintyCode1
LDM-ISP: Enhancing Neural ISP for Low Light with Latent Diffusion Models0
DeepCache: Accelerating Diffusion Models for FreeCode2
SynFundus-1M: A High-quality Million-scale Synthetic fundus images Dataset with Fifteen Types of AnnotationCode1
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models0
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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