Paper Citation Record · LEDGER

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography

As of 16 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2506.22753.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.22753 v1

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measured 63 of 63 reference resolution

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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A source-named dated measurement, never combined with another source.

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External citation measurements

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Outbound references

Observation a94f7705-c560-4b65-86f6-f51c9b7315f6 · outbound

This paper cites Multiwavelength achromatic metasurfaces by dispersive phase compensation.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Multiwavelength achromatic metasurfaces by dispersive phase compensation

Reference 1

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Observation 25f5a3e8-fab8-4815-945e-8f1c5a72fea7 · outbound

This paper cites Diffusercam: lensless single-exposure 3d imaging.Optica, 5(1):1–9, 2017.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Diffusercam: lensless single-exposure 3d imaging.Optica, 5(1):1–9, 2017

Reference 2

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Observation bb04b041-3715-40b2-95e8-3ef2026bee41 · outbound

This paper cites Thin on-sensor nanophotonic array cameras.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Thin on-sensor nanophotonic array cameras

Reference 3

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Observation e6fe325c-252a-4ec2-810d-0b5b027a242b · outbound

This paper cites Pre-trained image processing transformer.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Pre-trained image processing transformer

Reference 4

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Observation e2bb0385-9d0f-4625-9c89-8b7fc6ba047c · outbound

This paper cites Planar wide-angle-imaging camera enabled by metalens array.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Planar wide-angle-imaging camera enabled by metalens array

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:46.874345Z

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Observation 0f7544c8-8737-4072-a458-8e7f014713ae · outbound

This paper cites Activating more pixels in image super- resolution transformer.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Activating more pixels in image super- resolution transformer

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:46.769740Z

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Observation 05282c75-2714-48ac-96da-3cd8a2ae2015 · outbound

This paper cites Dual aggregation transformer for image super-resolution.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Dual aggregation transformer for image super-resolution

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:46.599586Z

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Observation 68159e8c-3731-47bb-80f9-eb79ca0cd294 · outbound

This paper cites Fast motion deblurring.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Fast motion deblurring

Reference 8

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Observation 13944c3e-20b6-4ca8-a8c0-2d9af8d77d89 · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Image quality assessment: Unifying structure and texture similarity

Reference 9

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Observation 44530fd5-cf30-484d-bfc1-6dd265b831f4 · outbound

This paper cites Learning a deep convolutional network for image super-resolution.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Learning a deep convolutional network for image super-resolution

Reference 10

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Observation 3418fe1e-35b8-472d-8120-ef9b8eeb60f5 · outbound

This paper cites Fast two-step blind optical aberration correction.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Fast two-step blind optical aberration correction

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:46.168271Z

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Observation c2f2c2a8-b285-47f1-9390-90f5a7345ec1 · outbound

This paper cites The advantages of metal- enses over diffractive lenses.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography The advantages of metal- enses over diffractive lenses

Reference 12

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Observation 79598a42-f11d-4e50-8abf-27ad214343c7 · outbound

This paper cites Sunet: Swin transformer unet for image denoising.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Sunet: Swin transformer unet for image denoising

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:45.931802Z

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Observation 60d3c5f6-0f28-424c-baf0-b4b25646fa14 · outbound

This paper cites Beating bandwidth limits for large aperture broadband nano-optics.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Beating bandwidth limits for large aperture broadband nano-optics

Reference 14

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Observation 3469ebff-27bb-4d3b-8233-d63218828848 · outbound

This paper cites Generative adversarial nets.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Generative adversarial nets

Reference 15

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Observation 09bb50e6-fd98-43a4-97dd-b41df1654804 · outbound

This paper cites Reconfigurable metasurfaces towards commercial suc- cess.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Reconfigurable metasurfaces towards commercial suc- cess

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:45.845625Z

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Observation c1e92789-e89e-4497-bcc3-0a8b7d0dcb46 · outbound

This paper cites High-quality computational imaging through simple lenses.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography High-quality computational imaging through simple lenses

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:45.746712Z

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Observation f4261025-c704-4937-954a-ef3a189d5e2a · outbound

This paper cites Denoising dif- fusion probabilistic models.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Denoising dif- fusion probabilistic models

Reference 18

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Observation dad0aa6f-45ec-44ba-96d7-0e627137046f · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Lora: Low-rank adaptation of large language models

Reference 19

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Observation 2be12b1a-8c0d-44c6-9990-c5fa4f169642 · outbound

This paper cites Musiq: Multi-scale image quality transformer.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Musiq: Multi-scale image quality transformer

Reference 20

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This paper cites Musiq: Multi-scale image quality transformer.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Musiq: Multi-scale image quality transformer

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:45.588591Z

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Observation bf145eed-aa90-4960-90d6-692451ef4608 · outbound

This paper cites Flatnet: Towards photorealistic scene reconstruction from lensless measure- ments.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Flatnet: Towards photorealistic scene reconstruction from lensless measure- ments

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:45.500903Z

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Observation 397c86b2-14bb-4c05-8257-c86e00f44f48 · outbound

This paper cites Dielectric metalens: properties and three-dimensional imaging applications.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Dielectric metalens: properties and three-dimensional imaging applications

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:45.379474Z

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Observation d2b23530-7436-42f5-aad4-ee67d15873b1 · outbound

This paper cites Efficient frequency domain-based trans- formers for high-quality image deblurring.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Efficient frequency domain-based trans- formers for high-quality image deblurring

Reference 24

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Observation 535edc76-141a-4f55-9259-c0a9dac91ef1 · outbound

This paper cites Fast image deconvolution using hyper-laplacian priors.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Fast image deconvolution using hyper-laplacian priors

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:45.266719Z

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Observation c38cd615-a831-4810-b4db-9c589f8f97aa · outbound

This paper cites Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging

Reference 26

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Observation 88cfb07c-c5d5-4b8d-9e76-472008deb3fe · outbound

This paper cites Srdiff: Single image super-resolution with diffusion probabilistic models.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Srdiff: Single image super-resolution with diffusion probabilistic models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:45.158796Z

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Observation 70b94aef-10f4-4649-89ca-c5560b33a3e0 · outbound

This paper cites Universal and flexible optical aberration correction us- ing deep-prior based deconvolution.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Universal and flexible optical aberration correction us- ing deep-prior based deconvolution

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:45.042508Z

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Observation 781f60c4-7adc-4361-931e-966ff609ac92 · outbound

This paper cites Ultracompact multifunctional metalens visor for augmented reality displays.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Ultracompact multifunctional metalens visor for augmented reality displays

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:44.940115Z

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Observation 2109a91c-5a41-44d5-8ef3-1b2b0f69c86e · outbound

This paper cites Effi- cient and explicit modelling of image hierarchies for image restoration.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Effi- cient and explicit modelling of image hierarchies for image restoration

Reference 30

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Observation aa5b7228-a066-4cb5-8334-a1be1d434741 · outbound

This paper cites Meta-optics achieves rgb-achromatic focusing for virtual reality.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Meta-optics achieves rgb-achromatic focusing for virtual reality

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:44.702562Z

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Observation 81e975f0-1d4a-4b12-9add-3fbb453e3736 · outbound

This paper cites Swinir: Image restoration us- ing swin transformer.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Swinir: Image restoration us- ing swin transformer

Reference 32

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Observation c3c95561-0989-4111-9612-8973de7a9b96 · outbound

This paper cites Dielectric gradient metasurface optical ele- ments.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Dielectric gradient metasurface optical ele- ments

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:44.534338Z

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Observation 9e561177-6379-41f0-bc7b-c91181b4b7ff · outbound

This paper cites De- blurdinat: A lightweight and effective transformer for image deblurring.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography De- blurdinat: A lightweight and effective transformer for image deblurring

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:44.429123Z

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Observation 0cc2d55f-9a9c-4b20-bd3e-55104a789383 · outbound

This paper cites Transformer for single im- age super-resolution.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Transformer for single im- age super-resolution

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:44.280907Z

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Observation 5ce4f831-c3ef-4d27-91ad-1c9ee39fb699 · outbound

This paper cites Potential applications of metamateri- als to computational imaging.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Potential applications of metamateri- als to computational imaging

Reference 36

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Observation 08428de1-e000-4d9c-beda-036b66278da6 · outbound

This paper cites completely blind.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography completely blind

Reference 37

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Observation 5ea28952-53d3-4c34-9d41-dddca039ab4e · outbound

This paper cites Spectral diffusercam: lensless snapshot hyper- spectral imaging with a spectral filter array.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Spectral diffusercam: lensless snapshot hyper- spectral imaging with a spectral filter array

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:43.841916Z

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Observation 4294e047-3c9e-43e9-b245-aa64bd228d0b · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models, 2021.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography High-resolution image syn- thesis with latent diffusion models, 2021

Reference 39

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This paper cites Image super- resolution via iterative refinement.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Image super- resolution via iterative refinement

Reference 40

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Observation 745a6de0-a74a-4b1a-893e-c969508efad5 · outbound

This paper cites Adversarial diffusion distillation.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Adversarial diffusion distillation

Reference 41

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Observation 210904b6-3613-477b-95a1-6afadf88bb5e · outbound

This paper cites A machine learning approach for non-blind image deconvolution.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography A machine learning approach for non-blind image deconvolution

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:43.691717Z

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Observation 93d1673d-e4f7-47de-94d6-369b531b8df6 · outbound

This paper cites Improving mag- netic resonance imaging with smart and thin metasurfaces.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Improving mag- netic resonance imaging with smart and thin metasurfaces

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:43.588536Z

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Observation 5220c746-d55b-4e37-831d-888d72a18379 · outbound

This paper cites Thin obser- vation module by bound optics (tombo): concept and ex- perimental verification.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Thin obser- vation module by bound optics (tombo): concept and ex- perimental verification

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:43.453718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 017ec272-6668-4f13-b8a7-f272cecc4001 · outbound

This paper cites Ntire 2017 challenge on sin- gle image super-resolution: Methods and results.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Ntire 2017 challenge on sin- gle image super-resolution: Methods and results

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:43.315264Z

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Observation a4ae9a69-0e2f-42c9-8543-1a52d36375c8 · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Methods and results.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Ntire 2017 challenge on single image super-resolution: Methods and results

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:43.173201Z

Source-reported events for the cited work

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Observation 3faa3305-0252-4c3e-881e-2a66f9a4f24f · outbound

This paper cites Neural nano-optics for high-quality thin lens imag- ing.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Neural nano-optics for high-quality thin lens imag- ing

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:43.066381Z

Source-reported events for the cited work

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Observation 5db303f2-7905-46cc-813f-13b9b4dd0a81 · outbound

This paper cites IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:04:40.775104Z

Source-reported events for the cited work

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Observation 72426059-5c50-40d7-a53b-55ffb4ef49f9 · outbound

This paper cites Picam: An ultra-thin high per- formance monolithic camera array.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Picam: An ultra-thin high per- formance monolithic camera array

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:42.900439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1c4cd146-e025-4a94-83b0-660afb769343 · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Ex- ploring clip for assessing the look and feel of images

Reference 50

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Observation fb90265b-fb37-4bc5-aa90-f64c858ca691 · outbound

This paper cites A broadband achro- matic metalens in the visible.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography A broadband achro- matic metalens in the visible

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:42.733074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bab9b5d4-5062-4da4-9370-c1759472dded · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Image quality assessment: from error visibility to structural similarity

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:39.494751Z

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Observation 4e694730-21a5-497d-a5fe-cf1f9ac42db7 · outbound

This paper cites Uformer: A general u-shaped transformer for image restoration.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Uformer: A general u-shaped transformer for image restoration

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:42.548550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 456aec61-de54-4716-b46a-5fa3724e6b4f · outbound

This paper cites A silicon photonics computational lensless active-flat-optics imaging system.Scientific Reports, 10(1):1689, 2020.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography A silicon photonics computational lensless active-flat-optics imaging system.Scientific Reports, 10(1):1689, 2020

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:42.372579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7fa0b2e4-fdf1-46b3-a79b-61c6fd81b94d · outbound

This paper cites Extrapolation, interpolation, and smooth- ing of stationary time series.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Extrapolation, interpolation, and smooth- ing of stationary time series

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:42.217103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f75d757a-c8dc-4c32-bf7f-2ec50dc48271 · outbound

This paper cites Seesr: Towards semantics- aware real-world image super-resolution.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Seesr: Towards semantics- aware real-world image super-resolution

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:42.049626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 41cb5909-c984-449b-9968-b746d0ee1564 · outbound

This paper cites One-step effective diffusion network for real-world image super-resolution.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography One-step effective diffusion network for real-world image super-resolution

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:41.910205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fe7b4761-4f13-492e-bfd6-9364b6b5dcb3 · outbound

This paper cites Unnatural l0 sparse representation for natural image deblurring.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Unnatural l0 sparse representation for natural image deblurring

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:41.757911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 43ad33cf-3386-4af6-97af-a2c46890516a · outbound

This paper cites Maniqa: Multi-dimension attention network for no-reference image quality assessment.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Maniqa: Multi-dimension attention network for no-reference image quality assessment

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:41.616552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ef9533a0-e8b1-4b9f-8176-8da5e5190c09 · outbound

This paper cites Printable nanocomposite met- alens for high-contrast near-infrared imaging.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Printable nanocomposite met- alens for high-contrast near-infrared imaging

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:41.417405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ba9e4e3-7ba7-4bb6-9729-fd28c5b31475 · outbound

This paper cites Flat optics with designer metasurfaces.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Flat optics with designer metasurfaces

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:04:41.219910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4d96d21d-3da0-4ce6-8ff1-38f99204c0a8 · outbound

This paper cites Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:40.458404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3b3dfe0-d242-4637-a435-8a5424267924 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography The unreasonable effectiveness of deep features as a perceptual metric

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T22:04:40.539893Z

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Pith citing papers

Observation da23438d-ad4e-4382-bfe7-ae6ac1d73a15 · inbound

BeyondFusion: Self-Aligned Latent Diffusion for Calibration-Free Infrared Super-Resolution and Infrared-Visible Fusion cites this paper.

BeyondFusion: Self-Aligned Latent Diffusion for Calibration-Free Infrared Super-Resolution and Infrared-Visible Fusion Degradation-Modeled Multipath Diffusion for Tunable Metalens Photography

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-31T23:06:31.697258Z

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