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 38513860 of 7282 papers

TitleStatusHype
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization0
TALE: Training-free Cross-domain Image Composition via Adaptive Latent Manipulation and Energy-guided Optimization0
FLLIC: Functionally Lossless Image Compression0
A Fused Deep Denoising Sound Coding Strategy for Bilateral Cochlear Implants0
A Framework for CSI-Based Indoor Localization with 1D Convolutional Neural Networks0
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design0
FlowLoss: Dynamic Flow-Conditioned Loss Strategy for Video Diffusion Models0
Taming Consistency Distillation for Accelerated Human Image Animation0
FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation0
Taming Diffusion Models for Image Restoration: A Review0
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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