Paper Citation Record · LEDGER

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors

As of 15 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:1909.01205.

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

pith.paper-citation-record.v1
1909.01205 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:29:56.603948Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation ae248cc7-f7b2-4988-bee1-fac21924eaa7 · outbound

This paper cites an unresolved cited work.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:29:57.251203Z

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Observation 92aea790-7895-41f9-91e3-0518e48f2bcd · outbound

This paper cites Human pose estimation with iterative error feedback.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Human pose estimation with iterative error feedback

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:57.235677Z

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Observation d084a739-d7d8-439f-aede-cfdd3b46a985 · outbound

This paper cites Learning priors for se- mantic 3d reconstruction.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Learning priors for se- mantic 3d reconstruction

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:57.221825Z

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Observation 889fb664-b03b-412b-beb5-63857066d391 · outbound

This paper cites Keras.https://keras.io, 2015.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Keras.https://keras.io, 2015

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:57.206591Z

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Observation 52534ae8-4ab0-4dc2-bae2-5e5655acf2e9 · outbound

This paper cites 3d-r2n2: A uniﬁed approach for single and multi-view 3d object reconstruction.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors 3d-r2n2: A uniﬁed approach for single and multi-view 3d object reconstruction

Reference 5

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Observation 84b3be1f-5f67-48f9-b1a1-d8a64528ea9f · outbound

This paper cites Accurate, dense, and ro- bust multiview stereopsis.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Accurate, dense, and ro- bust multiview stereopsis

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:57.179998Z

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Observation ad9815d2-4864-4735-bc47-59e0d88fa018 · outbound

This paper cites Kim, Bryan Russell, and Mathieu Aubry.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Kim, Bryan Russell, and Mathieu Aubry

Reference 7

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Observation 7b93ed1b-6d00-4ddf-8d71-d7c23dd7e142 · outbound

This paper cites Low-shot visual recognition by shrinking and hallucinating features.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Low-shot visual recognition by shrinking and hallucinating features

Reference 8

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This paper cites Efros, and Jitendra Malik.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Efros, and Jitendra Malik

Reference 9

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Observation d02212ea-c7e6-4aa5-b43d-67408a102b23 · outbound

This paper cites Learning a multi-view stereo machine.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Learning a multi-view stereo machine

Reference 10

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Observation b109d1ee-aaa0-4fd8-86aa-e3b43f6485e6 · outbound

This paper cites Learning a multi-view stereo machine.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Learning a multi-view stereo machine

Reference 11

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Observation 9c5b1ff0-6338-468b-8450-510f7f2f6dba · outbound

This paper cites Learning View Priors for Single-view 3D Reconstruction.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Learning View Priors for Single-view 3D Reconstruction

Reference 12

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Observation dd999602-176c-4f5d-a158-1f0cf0023fb6 · outbound

This paper cites A theory of shape by space carving.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors A theory of shape by space carving

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:57.093412Z

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Observation c79f1011-25c3-4e3a-b11c-62bdf2aa85e4 · outbound

This paper cites Learning from one example through shared densities on transforms.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Learning from one example through shared densities on transforms

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:57.078771Z

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Observation 02dc855b-01bd-408f-b763-857e8a8a0e4f · outbound

This paper cites An- drew Bagnell.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors An- drew Bagnell

Reference 15

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Observation 02cbaf6b-13a5-438d-b0fa-16aee7837716 · outbound

This paper cites Prototyp- ical networks for few-shot learning.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Prototyp- ical networks for few-shot learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:57.049128Z

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Observation db468a7e-41a6-4d03-947f-5813fd893043 · outbound

This paper cites Octree generating networks: Efﬁcient convolutional archi- tectures for high-resolution 3d outputs.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Octree generating networks: Efﬁcient convolutional archi- tectures for high-resolution 3d outputs

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:57.033960Z

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Observation 035ca4a2-a993-4a31-a441-dbcc5aa133c3 · outbound

This paper cites What do single-view 3d reconstruction networks learn? In Proceed- ings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 3405–3414, 2019.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors What do single-view 3d reconstruction networks learn? In Proceed- ings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 3405–3414, 2019

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:57.019719Z

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Observation e5241e92-6911-4ac7-ac70-7b2a35723c19 · outbound

This paper cites Auto-context and its application to high-level vision tasks.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Auto-context and its application to high-level vision tasks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:57.005485Z

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Observation 32e5d82d-1509-49dd-a42d-c58225c52a9b · outbound

This paper cites Efros, and Jitendra Malik.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Efros, and Jitendra Malik

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:56.989926Z

Source-reported events for the cited work

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Observation 30f41192-6298-40d5-bae8-caf0060cc9fa · outbound

This paper cites Matching networks for one shot learning.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Matching networks for one shot learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:56.973356Z

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Observation 687791ee-2aff-481d-99d3-783f6c34f686 · outbound

This paper cites 3densinet: A ro- bust neural network architecture towards 3d volumetric ob- ject prediction from 2d image.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors 3densinet: A ro- bust neural network architecture towards 3d volumetric ob- ject prediction from 2d image

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:56.956810Z

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Observation 980f1316-7787-4701-a6ec-44cba283a366 · outbound

This paper cites Pixel2mesh: Generating 3d mesh models from single rgb images.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Pixel2mesh: Generating 3d mesh models from single rgb images

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:56.938462Z

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Observation 2143d925-c46f-4778-82ad-e137307e305f · outbound

This paper cites O-cnn: Octree-based convolutional neu- ral networks for 3d shape analysis.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors O-cnn: Octree-based convolutional neu- ral networks for 3d shape analysis

Reference 24

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Observation 5cf651fb-afbb-4df5-aa5f-d2a11f45169b · outbound

This paper cites 3dn: 3d deformation network.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors 3dn: 3d deformation network

Reference 25

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Observation d9b01ef1-a0ac-4ed2-b13a-83142012fa12 · outbound

This paper cites Marrnet: 3d shape recon- struction via 2.5 d sketches.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Marrnet: 3d shape recon- struction via 2.5 d sketches

Reference 26

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This paper cites Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling

Reference 27

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Observation dec1d1ce-5199-4acd-a890-d2be7bd5455e · outbound

This paper cites Freeman, and Joshua B.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Freeman, and Joshua B

Reference 28

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Observation 52ca3509-aa3b-46fb-8fad-93aa255e8c17 · outbound

This paper cites Beyond pascal: A benchmark for 3d object detection in the wild.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Beyond pascal: A benchmark for 3d object detection in the wild

Reference 29

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This paper cites Low-shot learning from imaginary data.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Low-shot learning from imaginary data

Reference 30

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This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 31

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Source-reported events for the cited work

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This paper cites Perspective transformer nets: Learning single- view 3d object reconstruction without 3d supervision.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Perspective transformer nets: Learning single- view 3d object reconstruction without 3d supervision

Reference 32

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Observation 0dd1be1e-0453-4d0b-a27d-9542a8ac28ac · outbound

This paper cites Learning single-view 3d reconstruction with limited pose supervision.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Learning single-view 3d reconstruction with limited pose supervision

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:56.772531Z

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Observation 0cf31125-136d-4f46-984a-8c3e6fd61e8d · outbound

This paper cites Fold- ingnet: Point cloud auto-encoder via deep grid deformation.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Fold- ingnet: Point cloud auto-encoder via deep grid deformation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:56.755917Z

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Observation c6b93546-3948-44a9-9106-9750638253da · outbound

This paper cites ADADELTA: An Adaptive Learning Rate Method.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors ADADELTA: An Adaptive Learning Rate Method

Reference 35

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Source-reported events for the cited work

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This paper cites Learning to re- construct shapes from unseen classes.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors Learning to re- construct shapes from unseen classes

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:56.737815Z

Source-reported events for the cited work

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Observation e188d30f-c341-4834-9870-207d9accc21b · outbound

This paper cites 3d-prnn: Generating shape primitives with recurrent neural networks.

Few-Shot Generalization for Single-Image 3D Reconstruction via Priors 3d-prnn: Generating shape primitives with recurrent neural networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:29:56.713353Z

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.

Pith citing papers

No inbound Pith citation observations are available.