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 28312840 of 7282 papers

TitleStatusHype
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion ModelsCode0
D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction0
Continual Learning of Diffusion Models with Generative DistillationCode1
TDiffDe: A Truncated Diffusion Model for Remote Sensing Hyperspectral Image Denoising0
Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach0
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learningCode1
DiffusionMat: Alpha Matting as Sequential Refinement Learning0
Diffusion360: Seamless 360 Degree Panoramic Image Generation based on Diffusion ModelsCode2
Recognition-Guided Diffusion Model for Scene Text Image Super-Resolution0
Using Human Feedback to Fine-tune Diffusion Models without Any Reward ModelCode2
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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