Cover Image

The Missing U for Efficient Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Calvo-Ordonez, Sergio, Cheng, Chun-Wun, Huang, Jiahao, Zhang, Lipei, Yang, Guang, Schonlieb, Carola-Bibiane, Aviles-Rivero, Angelica I
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis
by: Deng, Zhongying, et al.
Published: (2025)

DNA-Prior: Unsupervised Denoise Anything via Dual-Domain Prior
by: Cheng, Yanqi, et al.
Published: (2025)

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

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

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

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

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

Deep Spectral Prior
by: Cheng, Yanqi, et al.
Published: (2025)

Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba
by: Huang, Jiahao, et al.
Published: (2024)

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

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

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

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

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

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

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

RSFR: A Coarse-to-Fine Reconstruction Framework for Diffusion Tensor Cardiac MRI with Semantic-Aware Refinement
by: Huang, Jiahao, et al.
Published: (2025)

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

GeoSplat: A Deep Dive into Geometry-Constrained Gaussian Splatting
by: Li, Yangming, et al.
Published: (2025)

From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction
by: Zhang, Zhenxuan, et al.
Published: (2025)

Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Inverse Problems
by: Tang, Junqi, et al.
Published: (2022)

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

HilbertMamba: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
by: Xu, Huihui, et al.
Published: (2024)

DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
by: Mantri, Krishna Sri Ipsit, et al.
Published: (2025)

Diffeomorphism-Equivariant Neural Networks
by: Oettinger, Josephine Elisabeth, et al.
Published: (2026)

Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
by: Yang, Yijun, et al.
Published: (2024)