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 27912800 of 7282 papers

TitleStatusHype
Layered Rendering Diffusion Model for Controllable Zero-Shot Image SynthesisCode0
On Exact Inversion of DPM-Solvers0
Contrastive Denoising Score for Text-guided Latent Diffusion Image EditingCode1
Diffusion Models Without Attention0
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion ModelCode1
Accurate Segmentation of Optic Disc And Cup from Multiple Pseudo-labels by Noise-aware LearningCode0
Unsupervised Keypoints from Pretrained Diffusion ModelsCode1
Improving Interpretation Faithfulness for Vision Transformers0
SODA: Bottleneck Diffusion Models for Representation LearningCode1
MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and EditingCode1
Show:102550
← PrevPage 280 of 729Next →

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