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 791800 of 7282 papers

TitleStatusHype
Task-based Regularization in Penalized Least-Squares for Binary Signal Detection Tasks in Medical Image Denoising0
Music2Latent2: Audio Compression with Summary Embeddings and Autoregressive Decoding0
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse AutoencodersCode2
Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation0
RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token ReprogrammingsCode1
MR imaging in the low-field: Leveraging the power of machine learning0
Variational Schrödinger Momentum Diffusion0
Decrypting the temperature field in flow boiling with latent diffusion models0
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture ModelCode0
ARFlow: Autogressive Flow with Hybrid Linear Attention0
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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