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 25512560 of 7282 papers

TitleStatusHype
Motion-Zero: Zero-Shot Moving Object Control Framework for Diffusion-Based Video Generation0
Siamese Meets Diffusion Network: SMDNet for Enhanced Change Detection in High-Resolution RS Imagery0
Stream Query Denoising for Vectorized HD Map Construction0
3D Human Pose Analysis via Diffusion Synthesis0
RoHM: Robust Human Motion Reconstruction via DiffusionCode3
Registration of algebraic varieties using Riemannian optimizationCode0
ED-TTS: Multi-Scale Emotion Modeling using Cross-Domain Emotion Diarization for Emotional Speech Synthesis0
Fixed Point Diffusion ModelsCode2
Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation0
Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization0
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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