Paper Citation Record · LEDGER

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime

As of 13 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2411.18189.

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pith.paper-citation-record.v1
2411.18189 v1

Coverage vector

measured 33 of 33 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

33 of 33 outbound references displayed

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External citation measurements

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Outbound references

Observation 87e65fa0-9634-47be-a916-4c42bbec7e67 · outbound

This paper cites Diffusercam: lensless single-exposure 3d imag- ing,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Diffusercam: lensless single-exposure 3d imag- ing,

Reference 1

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This paper cites Generative adversarial nets,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Generative adversarial nets,

Reference 2

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This paper cites Compressed sensing using generative models,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Compressed sensing using generative models,

Reference 3

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Observation 6e03e3b3-e985-49ab-a39a-d3029c05873a · outbound

This paper cites Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk

Reference 4

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Observation 31e4a63e-2b97-4332-98a8-b6477905b655 · outbound

This paper cites Huang, P.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Huang, P

Reference 5

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Observation 6a7c4644-85d7-465a-b691-3e6511f7baed · outbound

This paper cites Image-adaptive gan based reconstruction,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Image-adaptive gan based reconstruction,

Reference 6

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Observation 0dc3344d-25ed-4a4a-9406-61598f04142e · outbound

This paper cites Deep compressed sensing,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Deep compressed sensing,

Reference 7

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This paper cites Phase retrieval under a generative prior,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Phase retrieval under a generative prior,

Reference 8

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This paper cites Robust Compressive Phase Retrieval via Deep Generative Priors.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Robust Compressive Phase Retrieval via Deep Generative Priors

Reference 9

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This paper cites Blind image decon- volution using deep generative priors,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Blind image decon- volution using deep generative priors,

Reference 10

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Observation da897f79-38a2-4a15-add9-18d01c6fe58b · outbound

This paper cites Global Guarantees for Blind Demodulation with Generative Priors.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Global Guarantees for Blind Demodulation with Generative Priors

Reference 11

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This paper cites Flatcam: Thin, lensless cameras using coded aperture and computation,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Flatcam: Thin, lensless cameras using coded aperture and computation,

Reference 12

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This paper cites Deep image prior,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Deep image prior,

Reference 13

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Observation 6d50bf47-cfd5-409f-b1e3-3b4c6e0ddf3e · outbound

This paper cites Deep decoder: Concise image repre- sentations from untrained non-convolutional networks,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Deep decoder: Concise image repre- sentations from untrained non-convolutional networks,

Reference 14

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This paper cites Untrained networks for compressive lensless photography,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Untrained networks for compressive lensless photography,

Reference 15

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This paper cites Physics-informed deep deblurring: Over-parameterized vs. under-parameterized,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Physics-informed deep deblurring: Over-parameterized vs. under-parameterized,

Reference 16

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This paper cites Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems

Reference 17

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This paper cites Reconstruct- ing synthetic lensless images in the low-data regime.,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Reconstruct- ing synthetic lensless images in the low-data regime.,

Reference 18

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This paper cites Nonlinear total vari- ation based noise removal algorithms,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Nonlinear total vari- ation based noise removal algorithms,

Reference 19

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This paper cites A fast iterative shrinkage- thresholding algorithm for linear inverse problems,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime A fast iterative shrinkage- thresholding algorithm for linear inverse problems,

Reference 20

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Observation 90e4ac37-531e-49ca-96ee-cc6313db1ec0 · outbound

This paper cites Dis- tributed optimization and statistical learning via the alternating direction method of multipliers,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Dis- tributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 21

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This paper cites Regularizing linear inverse problems with convolutional neural networks.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Regularizing linear inverse problems with convolutional neural networks

Reference 22

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This paper cites Algorithmic guarantees for inverse imaging with untrained network priors,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Algorithmic guarantees for inverse imaging with untrained network priors,

Reference 23

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This paper cites Compressed Sensing with Deep Image Prior and Learned Regularization.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Compressed Sensing with Deep Image Prior and Learned Regularization

Reference 24

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This paper cites Physics-driven machine learning for computational imaging 12 [from the guest editor],.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Physics-driven machine learning for computational imaging 12 [from the guest editor],

Reference 25

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Observation 333ef2a2-5a22-40f9-ba05-bf1e2d2283e0 · outbound

This paper cites Physics-informed deep learning for dual-energy com- puted tomography image processing,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Physics-informed deep learning for dual-energy com- puted tomography image processing,

Reference 26

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This paper cites On the interplay between physical and content priors in deep learning for computational imaging,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime On the interplay between physical and content priors in deep learning for computational imaging,

Reference 27

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Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Physics-informed machine learning,

Reference 28

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This paper cites Robust reconstruction with deep learning to handle model mismatch in lensless imaging,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Robust reconstruction with deep learning to handle model mismatch in lensless imaging,

Reference 29

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This paper cites Implicit neural representations with periodic activation functions,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Implicit neural representations with periodic activation functions,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:29:03.124479Z

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Observation 80b33917-45cc-46c0-85e7-aece6a915479 · outbound

This paper cites Nerp: implicit neural repre- sentation learning with prior embedding for sparsely sampled image reconstruction,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Nerp: implicit neural repre- sentation learning with prior embedding for sparsely sampled image reconstruction,

Reference 31

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This paper cites Learned reconstructions for practical mask-based lensless imaging,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Learned reconstructions for practical mask-based lensless imaging,

Reference 32

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This paper cites Microorganism preprocessed images dataset,.

Towards Lensless Image Deblurring with Prior-Embedded Implicit Neural Representations in the Low-Data Regime Microorganism preprocessed images dataset,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:29:03.082485Z

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