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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1176–1200 of 7282 papers

TitleStatusHype
Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image DatasetCode1
Diffuse3D: Wide-Angle 3D Photography via Bilateral DiffusionCode1
A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and GuidanceCode1
Structure Aggregation for Cross-Spectral Stereo Image Guided DenoisingCode1
Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light PhotographyCode1
sRGB Real Noise Synthesizing With Neighboring Correlation-Aware Noise ModelCode1
Anomaly Detection using Score-based Perturbation ResilienceCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
CutMIB: Boosting Light Field Super-Resolution via Multi-View Image BlendingCode1
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to SpeechCode1
SeqDiffuSeq: Text Diffusion with Encoder-Decoder TransformersCode1
Empowering Diffusion Models on the Embedding Space for Text GenerationCode1
DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic ModelsCode1
Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic ModelsCode1
Uncovering the Disentanglement Capability in Text-to-Image Diffusion ModelsCode1
GFPose: Learning 3D Human Pose Prior with Gradient FieldsCode1
DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech EnhancementCode1
How to Backdoor Diffusion Models?Code1
Image Inpainting via Iteratively Decoupled Probabilistic ModelingCode1
Score-based denoising for atomic structure identificationCode1
Multi-Class Segmentation from Aerial Views using Recursive Noise DiffusionCode1
DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded LibrariesCode1
SinDDM: A Single Image Denoising Diffusion ModelCode1
Refining Generative Process with Discriminator Guidance in Score-based Diffusion ModelsCode1
Post-training Quantization on Diffusion ModelsCode1
Show:102550
← PrevPage 48 of 292Next →
All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified