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   Articles with "implicit neural" as a keyword



Implicit neural prior‐guided diffusion for spectral CT reconstruction

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recommendations! Published in 2025 at "Medical Physics"

DOI: 10.1002/mp.17946

Abstract: Spectral computed tomography (CT) plays a crucial role in various fields. However, the cumulative radiation dose from repeated x‐ray CT examinations has raised concerns about potential health risks. Reducing the projection view is an effective… read more here.

Keywords: spectral reconstruction; prior guided; implicit neural; neural prior ... See more keywords

Implicit neural representation for potential field geophysics

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-024-83979-z

Abstract: The recent use of spatial coordinate features in multilayer perceptron (MLP) neural networks provides opportunities for novel applications in potential field geophysics. So-called coordinate MLP networks allow for learning a representative function of potential fields… read more here.

Keywords: implicit neural; neural representation; representation; field geophysics ... See more keywords

Implicit Neural Attention for Removing Blur in Remote Sensing Images

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recommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2024.3509894

Abstract: Deblurring in remote sensing images is a challenging task due to the long-range imaging capabilities of remote sensing sensors, which often results in image blur. Factors contributing to image blur include atmospheric disturbances during long-range… read more here.

Keywords: implicit neural; blur remote; attention; remote sensing ... See more keywords

NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction With Implicit Neural Representations

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2023.3235686

Abstract: Implicit neural representations have shown compelling results in offline 3D reconstruction and also recently demonstrated the potential for online SLAM systems. However, applying them to autonomous 3D reconstruction, where a robot is required to explore… read more here.

Keywords: autonomous reconstruction; implicit neural; quality; reconstruction ... See more keywords

Scan-Specific Unsupervised Highly Accelerated Non-Cartesian CEST Imaging Using Implicit Neural Representation and Explicit Sparse Prior

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recommendations! Published in 2024 at "IEEE Transactions on Biomedical Engineering"

DOI: 10.1109/tbme.2024.3407092

Abstract: Objective: Chemical exchange saturation transfer (CEST) is a promising magnetic resonance imaging (MRI) technique. CEST imaging usually requires a long scan time, and reducing acquisition time is highly desirable for clinical applications. Methods: A novel… read more here.

Keywords: neural representation; implicit neural; scan specific; cest imaging ... See more keywords

Lightweight Width-Depth Scalable Implicit Neural Representation for Progressive Image Compression

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recommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"

DOI: 10.1109/tce.2025.3565495

Abstract: Image compression approaches using implicit neural representation (INR) have recently gained attention for their lightweight nature, compactness, and fast decoding, showing promise for edge computing in consumer devices. Specifically, INR-based image compression methods implicitly store… read more here.

Keywords: implicit neural; image; neural representation; representation ... See more keywords

INF3: Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion

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recommendations! Published in 2024 at "IEEE Transactions on Computational Imaging"

DOI: 10.1109/tci.2024.3488569

Abstract: Multispectral and Hyperspectral Image Fusion (MHIF) is a task that aims to fuse a high-resolution multispectral image (HR-MSI) and a low-resolution hyperspectral image (LR-HSI) acquired on the same scene to obtain a high-resolution hyperspectral image… read more here.

Keywords: implicit neural; hyperspectral image; image; fusion ... See more keywords

QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2025.3578379

Abstract: Implicit Neural Representations (INRs) encode discrete signals continuously while addressing spectral bias through activation functions (AFs). Previous approaches mitigate this bias by employing complex AFs, which often incur significant hardware overhead. To tackle this challenge,… read more here.

Keywords: hardware; implicit neural; quadinr hardware; activation ... See more keywords

LINR: A Plug-and-Play Local Implicit Neural Representation Module for Visual Object Tracking

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2025.3578667

Abstract: Current one-stream trackers suffer from limitations in distinguishing targets from complex backgrounds owing to their uniform token division strategy. By treating all regions equally, these methods allocate inadequate attention to crucial target details while overemphasizing… read more here.

Keywords: local implicit; module; implicit neural; plug play ... See more keywords

Implicit Neural Representation Learning for Hyperspectral Image Super-Resolution

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recommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3230204

Abstract: Hyperspectral image (HSI) super-resolution (SR) without additional auxiliary image remains a constant challenge due to its high-dimensional spectral patterns, where learning an effective spatial and spectral representation is a fundamental issue. Recently, implicit neural representations… read more here.

Keywords: implicit neural; super resolution; model; representation ... See more keywords

Hyperspectral Image Compression Using Sampling and Implicit Neural Representations

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recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3509718

Abstract: Hyperspectral images record the electromagnetic spectrum, and each hyperspectral pixel often stores hundreds of channels. Consequently, a hyperspectral image contains an order of magnitude more information than a similar-sized RGB color image. Concomitant with the… read more here.

Keywords: implicit neural; hyperspectral image; compression using; image ... See more keywords