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 7176–7200 of 7282 papers

TitleStatusHype
Foodfusion: A Novel Approach for Food Image Composition via Diffusion Models—0
A Flow-based Truncated Denoising Diffusion Model for Super-resolution Magnetic Resonance Spectroscopic Imaging—0
Foreground Focus: Enhancing Coherence and Fidelity in Camouflaged Image Generation—0
FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival—0
Foundation Cures Personalization: Recovering Facial Personalized Models' Prompt Consistency—0
FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion—0
Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration—0
Fractional Calculus In Image Processing: A Review—0
Taming Stable Diffusion for Text to 360 Panorama Image Generation—0
Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane—0
A First Derivative Potts Model for Segmentation and Denoising Using ILP—0
FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models—0
Fréchet regression with implicit denoising and multicollinearity reduction—0
A fast patch-dictionary method for whole image recovery—0
Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser—0
3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning—0
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process—0
A Faster Patch Ordering Method for Image Denoising—0
FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention—0
FreeMask: Rethinking the Importance of Attention Masks for Zero-Shot Video Editing—0
FreeMorph: Tuning-Free Generalized Image Morphing with Diffusion Model—0
FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model—0
FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts—0
A Face Fairness Framework for 3D Meshes—0
Aerial Active STAR-RIS-assisted Satellite-Terrestrial Covert Communications—0
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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