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 4201–4250 of 7282 papers

TitleStatusHype
Holographic Neural Architectures—0
Homodyned K-Distribution Parameter Estimation in Quantitative Ultrasound: Autoencoder and Bayesian Neural Network Approaches—0
HomoGen: Enhanced Video Inpainting via Homography Propagation and Diffusion—0
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models—0
HORT: Monocular Hand-held Objects Reconstruction with Transformers—0
Advances and Challenges in Unsupervised Neural Machine Translation—0
How Diffusion Models Learn to Factorize and Compose—0
3D Conditional Generative Adversarial Networks to enable large-scale seismic image enhancement—0
How Much To Guide: Revisiting Adaptive Guidance in Classifier-Free Guidance Text-to-Vision Diffusion Models—0
How Powerful is Implicit Denoising in Graph Neural Networks—0
How should a fixed budget of dwell time be spent in scanning electron microscopy to optimize image quality?—0
TexOct: Generating Textures of 3D Models with Octree-based Diffusion—0
How to Best Combine Demosaicing and Denoising?—0
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model—0
How to monitor and mitigate stair-casing in l1 trend filtering—0
Two-stage dimension reduction for noisy high-dimensional images and application to Cryogenic Electron Microscopy—0
How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control—0
How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies—0
TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization—0
HSIDMamba: Exploring Bidirectional State-Space Models for Hyperspectral Denoising—0
Advanced Denoising for X-ray Ptychography—0
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models—0
HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models—0
HTLM: Hyper-Text Pre-Training and Prompting of Language Models—0
HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation—0
HUG-VAS: A Hierarchical NURBS-Based Generative Model for Aortic Geometry Synthesis and Controllable Editing—0
A Dual Sparse Decomposition Method for Image Denoising—0
A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models—0
A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis—0
Human Video Translation via Query Warping—0
Hume: Introducing System-2 Thinking in Visual-Language-Action Model—0
HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation—0
Tencent Text-Video Retrieval: Hierarchical Cross-Modal Interactions with Multi-Level Representations—0
HW-TSC’s Participation in the WMT 2021 Triangular MT Shared Task—0
Hybrid diffusion models: combining supervised and generative pretraining for label-efficient fine-tuning of segmentation models—0
Hybrid Digital-Analog Semantic Communications—0
Hybrid Driven Learning for Channel Estimation in Intelligent Reflecting Surface Aided Millimeter Wave Communications—0
HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction—0
Text-Audio-Visual-conditioned Diffusion Model for Video Saliency Prediction—0
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras—0
HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model—0
Text-Aware Image Restoration with Diffusion Models—0
Hypergraph Spectral Analysis and Processing in 3D Point Cloud—0
Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising—0
Hyper-MD: Mesh Denoising with Customized Parameters Aware of Noise Intensity and Geometric Characteristics—0
Hyper-Restormer: A General Hyperspectral Image Restoration Transformer for Remote Sensing Imaging—0
TextDestroyer: A Training- and Annotation-Free Diffusion Method for Destroying Anomal Text from Images—0
Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors—0
Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction—0
Hyperspectral Image Denoising Based On Multi-Stream Denoising Network—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