Cover Image

Where Do We Stand with Implicit Neural Representations? A Technical and Performance Survey

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Essakine, Amer, Cheng, Yanqi, Cheng, Chun-Wun, Zhang, Lipei, Deng, Zhongying, Zhu, Lei, Schönlieb, Carola-Bibiane, Aviles-Rivero, Angelica I
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Adaptive Correction for Ensuring Conservation Laws in Neural Operators
by: Liu, Chaoyu, et al.
Published: (2025)

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

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

Tight Sample Complexity Bounds for Entropic Best Policy Identification
by: Essakine, Amer, et al.
Published: (2026)

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

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

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

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

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

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

TANGO: Graph Neural Dynamics via Learned Energy and Tangential Flows
by: Eliasof, Moshe, et al.
Published: (2025)

Adaptive Coordinate Transforms for Neural Operators
by: Liu, Chaoyu, et al.
Published: (2026)

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

Quantum Computing in Industrial Environments: Where Do We Stand and Where Are We Headed?
by: Osaba, Eneko, et al.
Published: (2025)

GRANOLA: Adaptive Normalization for Graph Neural Networks
by: Eliasof, Moshe, et al.
Published: (2024)

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

Diagnosing Breastfeeding Difficulties: Where Do We Stand?
by: Laura Galante, et al.
Published: (2025)