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 34013410 of 7282 papers

TitleStatusHype
Probabilistic-based Feature Embedding of 4-D Light Fields for Compressive Imaging and DenoisingCode1
Generative Proxemics: A Prior for 3D Social Interaction from ImagesCode1
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers0
Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models0
RIDNet Assisted cGAN Based Channel Estimation for One-Bit ADC mmWave MIMO Systems0
Fast Training of Diffusion Models with Masked TransformersCode2
On the Robustness of Latent Diffusion ModelsCode1
PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry GenerationCode0
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned GenerationCode1
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model0
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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