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 326350 of 7282 papers

TitleStatusHype
Mustango: Toward Controllable Text-to-Music GenerationCode2
Discrete Diffusion Modeling by Estimating the Ratios of the Data DistributionCode2
Aligning Text-to-Image Diffusion Models with Reward BackpropagationCode2
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of DiffusionCode2
Denoising Diffusion Bridge ModelsCode2
Residual Denoising Diffusion ModelsCode2
Texture Generation on 3D Meshes with Point-UV DiffusionCode2
DiffusionTrack: Diffusion Model For Multi-Object TrackingCode2
Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance FlowCode2
Make Explicit Calibration Implicit: Calibrate Denoiser Instead of the Noise ModelCode2
Generative AI for Medical Imaging: extending the MONAI FrameworkCode2
A Simple and Model-Free Path Filtering Algorithm for Smoothing and AccuracyCode2
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained DiffusionCode2
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape GenerationCode2
PromptIR: Prompting for All-in-One Blind Image RestorationCode2
Fast Training of Diffusion Models with Masked TransformersCode2
Invisible Image Watermarks Are Provably Removable Using Generative AICode2
Low-Light Image Enhancement with Wavelet-based Diffusion ModelsCode2
A Geometric Perspective on Diffusion ModelsCode2
HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion GuidanceCode2
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-DenoisingCode2
Anomaly Detection with Conditioned Denoising Diffusion ModelsCode2
DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice ConversionCode2
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity RecognitionCode2
MP-SENet: A Speech Enhancement Model with Parallel Denoising of Magnitude and Phase SpectraCode2
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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