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 39113920 of 7282 papers

TitleStatusHype
POS: A Prompts Optimization Suite for Augmenting Text-to-Video Generation0
TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models0
Towards High-quality HDR Deghosting with Conditional Diffusion Models0
Robust Graph Clustering via Meta Weighting for Noisy GraphsCode0
LatentWarp: Consistent Diffusion Latents for Zero-Shot Video-to-Video Translation0
The Missing U for Efficient Diffusion Models0
Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward AlignmentCode0
Medical Image Denosing via Explainable AI Feature Preserving Loss0
Diffusion Reconstruction of Ultrasound Images with Informative Uncertainty0
DPATD: Dual-Phase Audio Transformer for Denoising0
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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