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 13911400 of 7282 papers

TitleStatusHype
Training-Free Adaptive Diffusion with Bounded Difference Approximation StrategyCode2
DuoDiff: Accelerating Diffusion Models with a Dual-Backbone ApproachCode0
Reconstructive Visual Instruction TuningCode2
Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunities0
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning0
Conditional Lagrangian Wasserstein Flow for Time Series Imputation0
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation0
Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction0
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete DiffusionCode0
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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