Paper Citation Record · LEDGER

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task

As of 13 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 2 inbound Pith citation observations for arXiv:2411.16792.

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

pith.paper-citation-record.v1
2411.16792 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:34:23.660870Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T21:37:01.211497Z

Reference resolution

54 of 54 outbound references displayed

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External citation measurements

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Outbound references

Observation 24e85abf-3618-4f73-9c5b-c8e51d4ca912 · outbound

This paper cites https://www.epfl.ch/labs/cvlab/data/ data-em/, 2013.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task https://www.epfl.ch/labs/cvlab/data/ data-em/, 2013

Reference 1

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Observation ea348ef6-2ac2-4529-a65c-00851eea2363 · outbound

This paper cites Depth-aware video frame interpolation.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Depth-aware video frame interpolation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.815761Z

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Observation e7307cc8-b128-4f89-8392-6818109c3e42 · outbound

This paper cites Multicut brings automated neurite segmentation closer to hu- man performance.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Multicut brings automated neurite segmentation closer to hu- man performance

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.800385Z

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Observation 5fd8e6a7-7f03-40bf-bbdc-6439da034461 · outbound

This paper cites Channel attention is all you need for video frame interpolation.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Channel attention is all you need for video frame interpolation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.785397Z

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Observation f570e263-a689-4ca7-bbf8-476bbfb5daad · outbound

This paper cites 3d multi-energy deconvo- lution electron microscopy.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task 3d multi-energy deconvo- lution electron microscopy

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.769347Z

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Observation 6ef58bcd-6fc0-44fb-975c-8ff97d64bdb9 · outbound

This paper cites Isotropic re- construction of 3d em images with unsupervised degradation learning.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Isotropic re- construction of 3d em images with unsupervised degradation learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.751040Z

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Observation 32c7746c-5e6d-42da-861b-3b2acfaf17df · outbound

This paper cites Diffusion models beat gans on image synthesis.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Diffusion models beat gans on image synthesis

Reference 7

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Observation 2b033c3f-d1a9-4812-b8ad-e3863a3cd553 · outbound

This paper cites Practical poissonian-gaussian noise mod- eling and fitting for single-image raw-data.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Practical poissonian-gaussian noise mod- eling and fitting for single-image raw-data

Reference 8

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Observation 0053866a-62b4-4251-89e8-c2c83ff59fc5 · outbound

This paper cites Isovem: Isotropic reconstruction for volume electron mi- croscopy based on transformer.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Isovem: Isotropic reconstruction for volume electron mi- croscopy based on transformer

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.709370Z

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Observation 599a8af4-81b8-4b82-9935-4a8cd11e14ed · outbound

This paper cites Aid: Attention interpolation of text-to-image diffusion, 2024.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Aid: Attention interpolation of text-to-image diffusion, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.692717Z

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Observation d6933e71-a6b8-44dc-acba-e3a5eeffb921 · outbound

This paper cites Deep learning for isotropic super-resolution from non- isotropic 3d electron microscopy.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Deep learning for isotropic super-resolution from non- isotropic 3d electron microscopy

Reference 11

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Observation c5363d54-61a1-4810-b437-203ff2eae863 · outbound

This paper cites Denoising dif- fusion probabilistic models.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Denoising dif- fusion probabilistic models

Reference 12

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Observation 051f6fef-15da-4f24-9dde-bdd5822a9cd9 · outbound

This paper cites Classifier-Free Diffusion Guidance.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Classifier-Free Diffusion Guidance

Reference 13

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Observation 4c05733d-2232-475b-8507-6423d85e0a9c · outbound

This paper cites Iq-vfi: Implicit quadratic motion es- timation for video frame interpolation.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Iq-vfi: Implicit quadratic motion es- timation for video frame interpolation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.634483Z

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Observation c96df4b7-241a-4a5d-899f-a73db40dba4c · outbound

This paper cites Real-time intermediate flow estimation for video frame interpolation.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Real-time intermediate flow estimation for video frame interpolation

Reference 15

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Observation d920d872-a05e-4bbc-9d8f-d895248bc37e · outbound

This paper cites Microdiffusion: Implicit representation-guided dif- fusion for 3d reconstruction from limited 2d microscopy projections.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Microdiffusion: Implicit representation-guided dif- fusion for 3d reconstruction from limited 2d microscopy projections

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.604093Z

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Observation a304a082-fac9-469a-93a8-37f1e08de896 · outbound

This paper cites Video interpolation with diffu- sion models.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Video interpolation with diffu- sion models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.587329Z

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Observation c40b978d-5013-42e1-8b78-5c44664ddfe3 · outbound

This paper cites Super-resolution of biomedical volumes with 2d supervision.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Super-resolution of biomedical volumes with 2d supervision

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.569476Z

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Observation b5950dbf-8883-406a-b5ae-71a0df1ffba3 · outbound

This paper cites Super slomo: High quality estimation of multiple intermediate frames for video interpolation.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Super slomo: High quality estimation of multiple intermediate frames for video interpolation

Reference 19

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Observation 8d32956f-11a4-4829-80f6-1c826b75b173 · outbound

This paper cites Focal frequency loss for image reconstruction and synthesis.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Focal frequency loss for image reconstruction and synthesis

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.535649Z

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Observation 2c04ea1d-79f7-4a90-a99e-28458c33d442 · outbound

This paper cites Flavr: Flow-agnostic video representations for fast frame interpolation.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Flavr: Flow-agnostic video representations for fast frame interpolation

Reference 21

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Observation 044f108d-ecca-4a93-9e18-9966320ead1c · outbound

This paper cites DiffusionSat: A Generative Foundation Model for Satellite Imagery.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task DiffusionSat: A Generative Foundation Model for Satellite Imagery

Reference 22

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This paper cites Arbitrary-scale image gen- eration and upsampling using latent diffusion model and im- plicit neural decoder.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Arbitrary-scale image gen- eration and upsampling using latent diffusion model and im- plicit neural decoder

Reference 23

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From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Unresolved cited work

Reference 24

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Observation 22da88eb-9c90-4c81-a02a-8f2f76881258 · outbound

This paper cites Is em dead? Journal of cell science, 126(20):4545–4552, 2013.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Is em dead? Journal of cell science, 126(20):4545–4552, 2013

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.459870Z

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Observation abe4ef7b-a84a-452e-a451-534e8d27d40f · outbound

This paper cites Reference-free isotropic 3d em reconstruction using diffusion models.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Reference-free isotropic 3d em reconstruction using diffusion models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.442921Z

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Observation b0876fd4-b081-4685-9a94-a68404f4a9db · outbound

This paper cites Reference-free ax- ial super-resolution of 3d microscopy images using implicit neural representation with a 2d diffusion prior.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Reference-free ax- ial super-resolution of 3d microscopy images using implicit neural representation with a 2d diffusion prior

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.425174Z

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This paper cites Improving 3d imag- ing with pre-trained perpendicular 2d diffusion models.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Improving 3d imag- ing with pre-trained perpendicular 2d diffusion models

Reference 28

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Observation 35866462-0371-444f-ac81-d8e9924128de · outbound

This paper cites Enhanced quadratic video interpolation.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Enhanced quadratic video interpolation

Reference 29

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Observation 3a35b415-4ec4-45c7-b34a-557fd976f825 · outbound

This paper cites Diffusion-based deep learning method for augmenting ultrastructural imaging and volume electron microscopy.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Diffusion-based deep learning method for augmenting ultrastructural imaging and volume electron microscopy

Reference 30

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Observation e8e85896-bb13-4348-9adf-648bfe6c393f · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Repaint: Inpainting using denoising diffusion probabilistic models

Reference 31

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This paper cites Image Restoration with Mean-Reverting Stochastic Differential Equations.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Image Restoration with Mean-Reverting Stochastic Differential Equations

Reference 32

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Observation af2bbf72-e9d1-469d-88d8-05f5eb60fad2 · outbound

This paper cites Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models

Reference 33

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This paper cites Seven technologies to watch in 2023.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Seven technologies to watch in 2023

Reference 34

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Observation 34e5a4aa-eebb-4070-b3dd-1aeb6d4b5040 · outbound

This paper cites A morphology focused diffusion probabilistic model for synthesis of histopathology images.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task A morphology focused diffusion probabilistic model for synthesis of histopathology images

Reference 35

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Observation 63496ff4-5401-4f62-911a-e8659c6f9e9f · outbound

This paper cites Measuring image resolution in optical nanoscopy.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Measuring image resolution in optical nanoscopy

Reference 36

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Observation 25f6d11c-8c7c-454d-be7b-efb15c99209d · outbound

This paper cites Dif- fuseir: Diffusion models for isotropic reconstruction of 3d microscopic images.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Dif- fuseir: Diffusion models for isotropic reconstruction of 3d microscopic images

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.255229Z

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This paper cites V olume electron microscopy.Nature Reviews Methods Primers, 2(1):51, 2022.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task V olume electron microscopy.Nature Reviews Methods Primers, 2(1):51, 2022

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.212358Z

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This paper cites https : / / github.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task https : / / github

Reference 39

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This paper cites Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations

Reference 40

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Observation 24a0f68e-219d-429b-8aec-d77e47b467d2 · outbound

This paper cites Synaptic circuits and their variations within different columns in the visual system of drosophila.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Synaptic circuits and their variations within different columns in the visual system of drosophila

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.146376Z

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This paper cites A closer look at spatiotemporal convolutions for action recognition.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task A closer look at spatiotemporal convolutions for action recognition

Reference 42

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

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Image quality assessment: from error visibility to structural similarity

Reference 43

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Observation 9c31bdb4-2052-4828-b489-b1175655a5e8 · outbound

This paper cites Stdin: Spatio-temporal distilled inter- polation for electron microscope images.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Stdin: Spatio-temporal distilled inter- polation for electron microscope images

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.091917Z

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Observation 8fa2d2c4-03b5-4f65-b587-92c184ebbf93 · outbound

This paper cites Ediffsr: An efficient diffusion prob- abilistic model for remote sensing image super-resolution.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Ediffsr: An efficient diffusion prob- abilistic model for remote sensing image super-resolution

Reference 45

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Observation 9d532309-4d4c-4231-a5e7-8f422dc24ab8 · outbound

This paper cites Deblurring by realistic blurring.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Deblurring by realistic blurring

Reference 46

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

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task The unreasonable effectiveness of deep features as a perceptual metric

Reference 47

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This paper cites Segneuron: 3d neuron instance segmentation in any em volume with a generalist model.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Segneuron: 3d neuron instance segmentation in any em volume with a generalist model

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:34:24.018179Z

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Observation 5d7f05a6-fee1-4c41-86ff-e1f823e70569 · outbound

This paper cites Iou loss for 2d/3d ob- ject detection.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Iou loss for 2d/3d ob- ject detection

Reference 49

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This paper cites Here, we provide additional details on the FSC metric employed in our resolution estimation experiments.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Here, we provide additional details on the FSC metric employed in our resolution estimation experiments

Reference 51

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This paper cites From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task

Reference 52

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From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task Unresolved cited work

Reference 53

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Observation e80be650-0588-42a6-957a-1edc83d419b9 · outbound

This paper cites This adaptability eliminates the need for mul- tiple models trained at specific scales, making DGEAN both efficient and versatile for diverse volumetric super- resolution scenarios.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task This adaptability eliminates the need for mul- tiple models trained at specific scales, making DGEAN both efficient and versatile for diverse volumetric super- resolution scenarios

Reference 54

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Observation b7be27ed-a4f4-4e4d-be64-4fc3c4f80059 · outbound

This paper cites 2, 6, 7, 8.

From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task 2, 6, 7, 8

Reference 143

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Pith citing papers

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