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 13611370 of 7282 papers

TitleStatusHype
Adaptive Deep PnP Algorithm for Video Snapshot Compressive ImagingCode1
Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at ScaleCode1
Memory-Augmented Deep Conditional Unfolding Network for Pan-SharpeningCode1
Learning Self-prior for Mesh Denoising using Dual Graph Convolutional NetworksCode1
Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising NetworksCode1
On Efficient Transformer-Based Image Pre-training for Low-Level VisionCode1
Neuromorphic Camera Denoising using Graph Neural Network-driven TransformersCode1
Sparse Coding with Multi-Layer Decoders using Variance RegularizationCode1
Step-unrolled Denoising Autoencoders for Text GenerationCode1
Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical FlowCode1
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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