Paper Citation Record · LEDGER

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks

As of 17 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:1909.00321.

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

pith.paper-citation-record.v1
1909.00321 v1

Coverage vector

measured 36 of 36 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-14T06:01:56.076529Z

measured 36 of 36 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

36 of 36 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0a177b5-fbce-4649-aa4b-04316e9062ca · outbound

This paper cites Learning representations and generative models for 3d point clouds.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Learning representations and generative models for 3d point clouds

Reference 1

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Observation e8959d64-ac60-42f5-99a7-f8c8f34d2d55 · outbound

This paper cites A method for registration of 3-d shapes.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks A method for registration of 3-d shapes

Reference 2

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Observation 13307b83-2446-47e3-b031-3870271d0c6d · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks ShapeNet: An Information-Rich 3D Model Repository

Reference 3

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Observation e43e6c0e-e67b-4763-ab3c-542b6e532f06 · outbound

This paper cites Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions

Reference 4

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Observation ead1ff59-6bc5-41e9-8a9b-163cc1f343fc · outbound

This paper cites Learning implicit ﬁelds for generative shape modeling.Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Learning implicit ﬁelds for generative shape modeling.Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019

Reference 5

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Observation e0987a85-9f51-47f2-abe1-87a7278263c1 · outbound

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

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks 3d-r2n2: A uniﬁed approach for single and multi-view 3d object reconstruction

Reference 6

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Observation f7b3a79e-6e5b-46ce-897b-396d1858d9af · outbound

This paper cites an unresolved cited work.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Unresolved cited work

Reference 7

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Observation ee3bc5cd-0f91-4837-a058-621c9b1715a4 · outbound

This paper cites Accurate, dense, and robust multiview stereopsis.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Accurate, dense, and robust multiview stereopsis

Reference 8

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Observation b5c902f2-2012-4112-bae8-fc2d82f321c4 · outbound

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

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Kim, Bryan Russell, and Mathieu Aubry

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.419799Z

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Observation ec0ad9af-9062-45e1-bc85-1a979fcc6105 · outbound

This paper cites High-resolution shape com- pletion using deep neural networks for global structure and local geometry inference.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks High-resolution shape com- pletion using deep neural networks for global structure and local geometry inference

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.407578Z

Source-reported events for the cited work

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Observation e9eab199-64d1-4892-a078-ede0cde7c3e1 · outbound

This paper cites Multiple view ge- ometry in computer vision.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Multiple view ge- ometry in computer vision

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.396308Z

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Observation 74422a97-199c-443f-a018-e74e397afbd8 · outbound

This paper cites Deep residual learning for image recognition.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Deep residual learning for image recognition

Reference 12

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Observation b4e9e05b-9604-4d05-8aab-76c51ca710d6 · outbound

This paper cites Deep volumetric video from very sparse multi-view perfor- mance capture.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Deep volumetric video from very sparse multi-view perfor- mance capture

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.378095Z

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Observation 42058885-4bd5-4ac3-bdaa-d606bbca8cf5 · outbound

This paper cites Unsupervised learning of shape and pose with differentiable point clouds.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Unsupervised learning of shape and pose with differentiable point clouds

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.366867Z

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Observation 73908c6a-aac4-45e8-8aef-3d5cc3b32b94 · outbound

This paper cites Learning category-speciﬁc mesh reconstruc- tion from image collections.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Learning category-speciﬁc mesh reconstruc- tion from image collections

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.354899Z

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Observation 722c327f-9780-4606-b248-558a2b683656 · outbound

This paper cites Neu- ral 3d mesh renderer.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Neu- ral 3d mesh renderer

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.343441Z

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Observation f42db8db-a9b6-4ea5-a3b9-21fb88e370ab · outbound

This paper cites Screened poisson sur- face reconstruction.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Screened poisson sur- face reconstruction

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.332007Z

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Observation dda8a4bb-08a7-4b34-932e-7c674a21e19c · outbound

This paper cites Learning efﬁcient point cloud generation for dense 3d object recon- struction.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Learning efﬁcient point cloud generation for dense 3d object recon- struction

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.320460Z

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Observation db6359d7-cb17-4dc8-a9fe-55b1242b909d · outbound

This paper cites Soft ras- terizer: A differentiable renderer for image-based 3d reason- ing.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Soft ras- terizer: A differentiable renderer for image-based 3d reason- ing

Reference 19

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Observation 5a86e5e4-28a8-42ee-8834-0338b581b9d1 · outbound

This paper cites 3D-LMNet: Latent embedding matching for accurate and diverse 3d point cloud reconstruction from a single image.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks 3D-LMNet: Latent embedding matching for accurate and diverse 3d point cloud reconstruction from a single image

Reference 20

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Source-reported events for the cited work

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Observation 05160765-2016-4a45-a2ea-a353b45ede34 · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Occupancy networks: Learning 3d reconstruction in function space

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.293032Z

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Observation db59ee9b-b2ce-4010-bef4-846e8fa04a36 · outbound

This paper cites Deep Level Sets: Implicit Surface Representations for 3D Shape Inference.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Deep Level Sets: Implicit Surface Representations for 3D Shape Inference

Reference 22

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Observation bc70a001-0412-4983-bfc2-ae6e5ea207a7 · outbound

This paper cites Siclope: Silhouette-based clothed people.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Siclope: Silhouette-based clothed people

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.282607Z

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Observation 96e58921-674f-4e6f-b494-9638745a6441 · outbound

This paper cites Resid- ual meshnet: Learning to deform meshes for single-view 3d reconstruction.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Resid- ual meshnet: Learning to deform meshes for single-view 3d reconstruction

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.272806Z

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Observation 01a52125-f46e-44ba-8c38-7bee53f5acfe · outbound

This paper cites Image2mesh: A learning framework for single image 3d reconstruction.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Image2mesh: A learning framework for single image 3d reconstruction

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.262807Z

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Observation 3fff74c1-d525-4131-b5ad-6ceb0aa7aecd · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classiﬁcation and segmentation.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Pointnet: Deep learning on point sets for 3d classiﬁcation and segmentation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.253010Z

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Observation 8e945b46-64a8-4310-908e-da20b201c48a · outbound

This paper cites Machine perception of three- dimensional solids.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Machine perception of three- dimensional solids

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.242897Z

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Observation 6aaedcb8-a598-4f7c-9e9b-96d05737ee6e · outbound

This paper cites Pix3d: Dataset and methods for single-image 3d shape modeling.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Pix3d: Dataset and methods for single-image 3d shape modeling

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.232977Z

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Observation 7fdc6730-b867-423e-abaf-6425905736b4 · outbound

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

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Octree generating networks: Efﬁcient convolutional archi- tectures for high-resolution 3d outputs

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.222713Z

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Observation e9f2aa86-5eca-4aeb-b388-d89a38d493a4 · outbound

This paper cites Multi-view supervision for single-view re- construction via differentiable ray consistency.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Multi-view supervision for single-view re- construction via differentiable ray consistency

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.213288Z

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Observation a8524477-f724-4f85-a2ba-91f7a668c012 · outbound

This paper cites Bodynet: V olu- metric inference of 3d human body shapes.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Bodynet: V olu- metric inference of 3d human body shapes

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.202477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6d2bcae1-67a6-423d-a4ee-f3c3d8159cf3 · outbound

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

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Pixel2mesh: Generating 3d mesh models from single rgb images

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.188893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc75237d-bd83-46b6-8de8-384aa2229407 · outbound

This paper cites High-ﬁdelity facial reﬂectance and geometry infer- ence from an unconstrained image.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks High-ﬁdelity facial reﬂectance and geometry infer- ence from an unconstrained image

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.176470Z

Source-reported events for the cited work

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Observation b12ba67c-a45c-42b5-8e22-bb60ad802da8 · outbound

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

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Perspective transformer nets: Learning single- view 3d object reconstruction without 3d supervision

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.166563Z

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Observation 28565cd9-c265-4a9e-9e06-af66a4babee2 · outbound

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

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Fold- ingnet: Point cloud auto-encoder via deep grid deformation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.156725Z

Source-reported events for the cited work

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Observation 7f5abe48-d68f-422b-bbad-02d869de82d7 · outbound

This paper cites Hairnet: Single-view hair reconstruc- tion using convolutional neural networks.

Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks Hairnet: Single-view hair reconstruc- tion using convolutional neural networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T06:01:56.145421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

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