Cover Image

Sampling Theory for Super-Resolution with Implicit Neural Representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Najaf, Mahrokh, Ongie, Gregory
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards a Sampling Theory for Implicit Neural Representations
by: Najaf, Mahrokh, et al.
Published: (2024)

Accelerated Optimization of Implicit Neural Representations for CT Reconstruction
by: Najaf, Mahrokh, et al.
Published: (2025)

Memory-efficient optimization of implicit neural representations for CT reconstruction
by: Najaf, Mahrokh, et al.
Published: (2026)

Single-Subject Multi-View MRI Super-Resolution via Implicit Neural Representations
by: Kim, Heejong, et al.
Published: (2026)

Blind Super Resolution with Reference Images and Implicit Degradation Representation
by: Do, Huu-Phu, et al.
Published: (2025)

StereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representation
by: Liu, Yi, et al.
Published: (2025)

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
by: Fang, Wei, et al.
Published: (2024)

LightBSR: Towards Lightweight Blind Super-Resolution via Discriminative Implicit Degradation Representation Learning
by: Yuan, Jiang, et al.
Published: (2025)

Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
by: McGinnis, Julian, et al.
Published: (2023)

SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution
by: Ekanayake, Mevan, et al.
Published: (2024)

Super-temporal-resolution Photoacoustic Imaging with Dynamic Reconstruction through Implicit Neural Representation in Sparse-view
by: Xiao, Youshen, et al.
Published: (2025)

SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution
by: Hayami, Taiga, et al.
Published: (2025)

Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution
by: Ma, Wen, et al.
Published: (2024)

Highly Accelerated MRI via Implicit Neural Representation Guided Posterior Sampling of Diffusion Models
by: Chu, Jiayue, et al.
Published: (2024)

NERV++: An Enhanced Implicit Neural Video Representation
by: Ghorbel, Ahmed, et al.
Published: (2024)

Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images
by: Wu, Hanlin, et al.
Published: (2024)

Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution
by: Yuan, Jiang, et al.
Published: (2024)

The Surprising Effectiveness of Noise Pretraining for Implicit Neural Representations
by: Vyas, Kushal, et al.
Published: (2026)

Compact Implicit Neural Representations for Plane Wave Images
by: Monvoisin, Mathilde, et al.
Published: (2024)

Immersive Video Compression using Implicit Neural Representations
by: Kwan, Ho Man, et al.
Published: (2024)

Implicit Neural Representation for Videos Based on Residual Connection
by: Hayami, Taiga, et al.
Published: (2024)

A Novel Implicit Neural Representation for Volume Data
by: Sheibanifard, Armin, et al.
Published: (2024)

Light Field Compression Based on Implicit Neural Representation
by: Wang, Henan, et al.
Published: (2024)

Onboard Hyperspectral Super-Resolution with Deep Pushbroom Neural Network
by: Piccinini, Davide, et al.
Published: (2025)

Radiative-Structured Neural Operator for Continuous Spectral Super-Resolution
by: Zhang, Ziye, et al.
Published: (2025)

Conditional Neural Video Coding with Spatial-Temporal Super-Resolution
by: Wang, Henan, et al.
Published: (2024)

Reference-free Axial Super-resolution of 3D Microscopy Images using Implicit Neural Representation with a 2D Diffusion Prior
by: Lee, Kyungryun, et al.
Published: (2024)

Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction
by: Chen, Huan, et al.
Published: (2023)

INRetouch: Context Aware Implicit Neural Representation for Photography Retouching
by: Elezabi, Omar, et al.
Published: (2024)

Beyond Pixels: Medical Image Quality Assessment with Implicit Neural Representations
by: Özer, Caner, et al.
Published: (2025)

IMPLICITSTAINER: Resolution Agnostic Data-Efficient Virtual Staining Using Neural Implicit Functions
by: Kataria, Tushar, et al.
Published: (2025)

SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings
by: Wei, Renjie, et al.
Published: (2023)

Research on Image Super-Resolution Reconstruction Mechanism based on Convolutional Neural Network
by: Yan, Hao, et al.
Published: (2024)

AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning
by: Xu, Yuheng, et al.
Published: (2025)

Fast Medical Shape Reconstruction via Meta-learned Implicit Neural Representations
by: De Paolis, Gaia Romana, et al.
Published: (2024)

SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution
by: Forigua, Cristhian, et al.
Published: (2024)

Iterative Network for Image Super-Resolution
by: Liu, Yuqing, et al.
Published: (2020)

Implicit Neural Representations for Registration of Left Ventricle Myocardium During a Cardiac Cycle
by: Lowes, Mathias Micheelsen, et al.
Published: (2025)

CWRNN-INVR: A Coupled WarpRNN based Implicit Neural Video Representation
by: Li, Yiyang, et al.
Published: (2026)

Lightweight High-Speed Photography Built on Coded Exposure and Implicit Neural Representation of Videos
by: Zhang, Zhihong, et al.
Published: (2023)