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

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Showing 4151–4200 of 7282 papers

TitleStatusHype
HDR Imaging with Spatially Varying Signal-to-Noise Ratios—0
HDRVideo-GAN: Deep Generative HDR Video Reconstruction—0
Head-Neck Dual-energy CT Contrast Media Reduction Using Diffusion Models—0
Illumination and Shadows in Head Rotation: experiments with Denoising Diffusion Models—0
Heart Murmur and Abnormal PCG Detection via Wavelet Scattering Transform & a 1D-CNN—0
Heart Rate Extraction from Abdominal Audio Signals—0
Heavy-Tailed Diffusion Models—0
HE-Drive: Human-Like End-to-End Driving with Vision Language Models—0
Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance—0
HepatoGEN: Generating Hepatobiliary Phase MRI with Perceptual and Adversarial Models—0
Efficient Pruning for Machine Learning Under Homomorphic Encryption—0
Heterogeneous quantization regularizes spiking neural network activity—0
Testing using Privileged Information by Adapting Features with Statistical Dependence—0
HiddenSinger: High-Quality Singing Voice Synthesis via Neural Audio Codec and Latent Diffusion Models—0
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance—0
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond—0
Hierarchical Flow Diffusion for Efficient Frame Interpolation—0
Hierarchical Learning Framework for UAV Detection and Identification—0
Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition—0
Hierarchical Piecewise-Constant Super-regions—0
Hierarchical spike coding of sound—0
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction—0
Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-wise Pseudo Labeling—0
2D Neural Fields with Learned Discontinuities—0
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models—0
High-dimensional learning of narrow neural networks—0
High-Fidelity Diffusion-based Image Editing—0
High Fidelity Speech Regeneration with Application to Speech Enhancement—0
High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching—0
High-Frequency aware Perceptual Image Enhancement—0
Test-time Adaptation for Real Image Denoising via Meta-transfer Learning—0
Highly Detailed and Temporal Consistent Video Stylization via Synchronized Multi-Frame Diffusion—0
High Noise Immune Time-domain Inversion via Cascade Network (TICaN) for Complex Scatterers—0
High Noise Scheduling is a Must—0
Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models—0
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation—0
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning—0
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost—0
High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction—0
High-resolution efficient image generation from WiFi CSI using a pretrained latent diffusion model—0
High-Resolution Image Synthesis via Next-Token Prediction—0
Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey—0
High Resolution Seismic Waveform Generation using Denoising Diffusion—0
Test-time Conditional Text-to-Image Synthesis Using Diffusion Models—0
Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image—0
Advancing 3D Gaussian Splatting Editing with Complementary and Consensus Information—0
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging—0
3D-Consistent Image Inpainting with Diffusion Models—0
HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models—0
Holistic Processing of Colour Images Using Novel Quaternion-Valued Wavelets on the Plane—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