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 501525 of 7282 papers

TitleStatusHype
Diff-UNet: A Diffusion Embedded Network for Volumetric SegmentationCode1
DiffStyler: Diffusion-based Localized Image Style TransferCode1
Accelerating Diffusion Models via Early Stop of the Diffusion ProcessCode1
DiffTAD: Temporal Action Detection with Proposal Denoising DiffusionCode1
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion ModelsCode1
DIFFVSGG: Diffusion-Driven Online Video Scene Graph GenerationCode1
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionCode1
DiffStyler: Controllable Dual Diffusion for Text-Driven Image StylizationCode1
Diffusion Action SegmentationCode1
A Neural Space-Time Representation for Text-to-Image PersonalizationCode1
Diff-Reg v1: Diffusion Matching Model for Registration ProblemCode1
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraintsCode1
DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial TrainingCode1
CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical SystemsCode1
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative RefinementCode1
DiffSF: Diffusion Models for Scene Flow EstimationCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain PackingCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
Empowering Diffusion Models on the Embedding Space for Text GenerationCode1
ConsistencyTTA: Accelerating Diffusion-Based Text-to-Audio Generation with Consistency DistillationCode1
DiffO: Single-step Diffusion for Image Compression at Ultra-Low BitratesCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
DiffSim: Taming Diffusion Models for Evaluating Visual SimilarityCode1
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse ProblemsCode1
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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