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 111120 of 7282 papers

TitleStatusHype
Diffusion Transformer-based Universal Dose Denoising for Pencil Beam Scanning Proton Therapy0
Object-centric 3D Motion Field for Robot Learning from Human Videos0
CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model0
Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems0
TracLLM: A Generic Framework for Attributing Long Context LLMsCode1
InfiniteAudio: Infinite-Length Audio Generation with Consistency0
Unrolling Nonconvex Graph Total Variation for Image Denoising0
FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts0
ADFormer: Aggregation Differential Transformer for Passenger Demand ForecastingCode0
Adaptive Differential Denoising for Respiratory Sounds ClassificationCode1
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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