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 5976–6000 of 7282 papers

TitleStatusHype
Spatial-Aware Latent Initialization for Controllable Image Generation—0
Data denoising with self consistency, variance maximization, and the Kantorovich dominance—0
Data Discovery Using Lossless Compression-Based Sparse Representation—0
spatial-dccrn: dccrn equipped with frame-level angle feature and hybrid filtering for multi-channel speech enhancement—0
Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels—0
Data Dropout: Optimizing Training Data for Convolutional Neural Networks—0
Dataset Creation Pipeline for Camera-Based Heart Rate Estimation—0
Data Synthesis and Iterative Refinement for Neural Semantic Parsing without Annotated Logical Forms—0
DCCRN-KWS: an audio bias based model for noise robust small-footprint keyword spotting—0
Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution—0
Analysis of Fast Alternating Minimization for Structured Dictionary Learning—0
DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization—0
DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning—0
DDIM-Driven Coverless Steganography Scheme with Real Key—0
Spatial-Frequency Attention for Image Denoising—0
Spatial Frequency Bias in Convolutional Generative Adversarial Networks—0
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding—0
DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection—0
Analysis of DNN Speech Signal Enhancement for Robust Speaker Recognition—0
DDPM based X-ray Image Synthesizer—0
DDPM Score Matching and Distribution Learning—0
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion—0
DDRM-PR: Fourier Phase Retrieval using Denoising Diffusion Restoration Models—0
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration—0
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms—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