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 461470 of 7282 papers

TitleStatusHype
OSCAR: One-Step Diffusion Codec for Image Compression Across Multiple Bit-ratesCode1
REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion TrainingCode1
Guided Diffusion Sampling on Function Spaces with Applications to PDEsCode1
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation TrainerCode1
AutoMat: Enabling Automated Crystal Structure Reconstruction from Microscopy via Agentic Tool UseCode1
FlowPure: Continuous Normalizing Flows for Adversarial PurificationCode1
DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion ModelCode1
Video-GPT via Next Clip DiffusionCode1
Total Variation-Based Image Decomposition and Denoising for Microscopy ImagesCode1
TS-Diff: Two-Stage Diffusion Model for Low-Light RAW Image EnhancementCode1
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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