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 29612970 of 7282 papers

TitleStatusHype
Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion ModelsCode1
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models0
Auxiliary Features-Guided Super Resolution for Monte Carlo Rendering0
Music Augmentation and Denoising For Peak-Based Audio FingerprintingCode1
Product of Gaussian Mixture Diffusion ModelsCode0
Conditional Generative Modeling for Images, 3D Animations, and Video0
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning0
LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising0
Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise DetectionCode0
Object-aware Inversion and Reassembly for Image EditingCode1
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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