Imagen de Portada

DNA-Prior: Unsupervised Denoise Anything via Dual-Domain Prior

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cheng, Yanqi, Cheng, Chun-Wun, Denholm, Jim, Lima, Thiago, Montoya-Zegarra, Javier A., Goodwin, Richard, Schönlieb, Carola-Bibiane, Aviles-Rivero, Angelica I
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priors
por: Cheng, Yanqi, et al.
Publicado: (2024)

Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
por: Cheng, Chun-Wun, et al.
Publicado: (2025)

SpectraKAN: Conditioning Spectral Operators
por: Cheng, Chun-Wun, et al.
Publicado: (2026)

Deep Spectral Prior
por: Cheng, Yanqi, et al.
Publicado: (2025)

ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection
por: Cheng, Chun-Wun, et al.
Publicado: (2026)

PDE Solvers Should Be Local: Fast, Stable Rollouts with Learned Local Stencils
por: Cheng, Chun-Wun, et al.
Publicado: (2025)

CATO: Charted Attention for Neural PDE Operators
por: Cheng, Chun-Wun, et al.
Publicado: (2026)

Bilevel Hypergraph Networks for Multi-Modal Alzheimer's Diagnosis
por: Aviles-Rivero, Angelica I., et al.
Publicado: (2024)

3D Wavelet-Based Structural Priors for Controlled Diffusion in Whole-Body Low-Dose PET Denoising
por: Jing, Peiyuan, et al.
Publicado: (2026)

Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey
por: Essakine, Amer, et al.
Publicado: (2024)

Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
por: Zhang, Lipei, et al.
Publicado: (2024)

D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
por: Zhang, Lipei, et al.
Publicado: (2025)

NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning
por: Zhang, Yi, et al.
Publicado: (2024)

Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
por: Cheng, Chun-Wun, et al.
Publicado: (2024)

Training-Free Dual Hyperbolic Adapters for Better Cross-Modal Reasoning
por: Zhang, Yi, et al.
Publicado: (2025)

Deep Block Proximal Linearised Minimisation Algorithm for Non-convex Inverse Problems
por: Huang, Chaoyan, et al.
Publicado: (2024)

Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
por: Zhang, Yi, et al.
Publicado: (2024)

The Missing U for Efficient Diffusion Models
por: Calvo-Ordonez, Sergio, et al.
Publicado: (2023)

Bridging Annotation Gaps: Transferring Labels to Align Object Detection Datasets
por: Kennerley, Mikhail, et al.
Publicado: (2025)

MAP-Diff: Multi-Anchor Guided Diffusion for Progressive 3D Whole-Body Low-Dose PET Denoising
por: Jing, Peiyuan, et al.
Publicado: (2026)

NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
por: Deng, Zhongying, et al.
Publicado: (2022)

Optimised ProPainter for Video Diminished Reality Inpainting
por: Li, Pengze, et al.
Publicado: (2024)

Stochastic Primal-Dual Three Operator Splitting Algorithm with Extension to Equivariant Regularization-by-Denoising
por: Tang, Junqi, et al.
Publicado: (2022)

Product Interaction: An Algebraic Formalism for Deep Learning Architectures
por: Dong, Haonan, et al.
Publicado: (2026)

Single-Shot Plug-and-Play Methods for Inverse Problems
por: Cheng, Yanqi, et al.
Publicado: (2023)

Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling
por: Khelifa, Naïl, et al.
Publicado: (2025)

HIBMatch: Hypergraph Information Bottleneck for Semi-supervised Alzheimer's Progression
por: Deng, Zhongying, et al.
Publicado: (2023)

HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
por: Bryutkin, Andrey, et al.
Publicado: (2024)

Continuous Learned Primal Dual
por: Runkel, Christina, et al.
Publicado: (2024)

Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps
por: Träuble, Jakob, et al.
Publicado: (2024)

Data-driven approaches to inverse problems
por: Schönlieb, Carola-Bibiane, et al.
Publicado: (2025)

Expressivity of Bi-Lipschitz Normalizing Flows: A Score-Based Diffusion Perspective
por: Iske, Meira, et al.
Publicado: (2026)

Unsupervised Learning of the Total Variation Flow
por: Grossmann, Tamara G., et al.
Publicado: (2022)

Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction
por: Yang, Liutao, et al.
Publicado: (2024)

On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
por: Eliasof, Moshe, et al.
Publicado: (2024)

Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
por: Shumaylov, Zakhar, et al.
Publicado: (2024)

Training-Free Test-Time Adaptation with Brownian Distance Covariance in Vision-Language Models
por: Zhang, Yi, et al.
Publicado: (2026)

MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation
por: Huang, Jiahao, et al.
Publicado: (2024)

Spatiotemporal Graph Neural Network Modelling Perfusion MRI
por: Yan, Ruodan, et al.
Publicado: (2024)

Inverse Evolution Data Augmentation for Neural PDE Solvers
por: Liu, Chaoyu, et al.
Publicado: (2025)