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 801810 of 7282 papers

TitleStatusHype
Learning a Diffusion Model Policy from Rewards via Q-Score MatchingCode1
PPFM: Image denoising in photon-counting CT using single-step posterior sampling Poisson flow generative modelsCode1
NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GANCode1
Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention ModulationCode1
Efficient and Scalable Graph Generation through Iterative Local ExpansionCode1
LatentEditor: Text Driven Local Editing of 3D ScenesCode1
Image is All You Need to Empower Large-scale Diffusion Models for In-Domain GenerationCode1
Clockwork Diffusion: Efficient Generation With Model-Step DistillationCode1
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven InitializationCode1
World Models via Policy-Guided Trajectory DiffusionCode1
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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