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 24912500 of 7282 papers

TitleStatusHype
Random Conditioning for Diffusion Model Compression with Distillation0
DriveScape: High-Resolution Driving Video Generation by Multi-View Feature Fusion0
Composing Parts for Expressive Object Generation0
Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos0
Towards Precise Embodied Dialogue Localization via Causality Guided Diffusion0
Unboxed: Geometrically and Temporally Consistent Video Outpainting0
RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler0
Discrete to Continuous: Generating Smooth Transition Poses from Sign Language Observations0
Diffusion Prism: Enhancing Diversity and Morphology Consistency in Mask-to-Image Diffusion0
STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation0
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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