Paper Citation Record · LEDGER

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals

As of 18 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:1908.06261.

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

pith.paper-citation-record.v1
1908.06261 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:56:38.286272Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:56:37.796426Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T12:56:38.486968Z

Reference resolution

42 of 42 outbound references displayed

verified exact1
verified fuzzy38
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External citation measurements

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Outbound references

Observation 03b06324-7e3b-4cdc-a890-a454c50c4e1e · outbound

This paper cites Unlike 3D meshes, a point cloud is an unstructured list of 3D coordinates, and low-level processing tasks like compression [2–4] and denoising [5, 6] are challenging.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Unlike 3D meshes, a point cloud is an unstructured list of 3D coordinates, and low-level processing tasks like compression [2–4] and denoising [5, 6] are challenging

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:40.346829Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation adfd057e-58ae-46a7-86d8-93d91d4745b3 · outbound

This paper cites 3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals 3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T12:56:38.500188Z

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Observation 7f2eb3ff-08d6-4727-8967-d6bebefa6413 · outbound

This paper cites Algorithm Overview We begin by adding a set of new interior points to the low-res point cloud q to populate the target full-res point cloud p.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Algorithm Overview We begin by adding a set of new interior points to the low-res point cloud q to populate the target full-res point cloud p

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:40.205269Z

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Observation 7f0448fa-ea15-4351-94db-6626fc7e02f8 · outbound

This paper cites The weight deﬁnition in (2) is similar to bilateral ﬁlter weights deﬁned in [23] with domain and range ﬁlters.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals The weight deﬁnition in (2) is similar to bilateral ﬁlter weights deﬁned in [23] with domain and range ﬁlters

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:40.250496Z

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Observation 8aa8d7b9-8981-4ea5-b4b4-8335e00657a4 · outbound

This paper cites Speciﬁcally, we ﬁrst initialize new points at centroids of local triangles, and construct a k-nearest-neighbor graph to connect all 3D points.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Speciﬁcally, we ﬁrst initialize new points at centroids of local triangles, and construct a k-nearest-neighbor graph to connect all 3D points

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:40.003232Z

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Observation a13b3c5a-4082-4f6a-b94d-84b697668807 · outbound

This paper cites We can thus rewrite (8) as min m,p ∑ i,j wi,j‖mi,j‖1 + y⊤ 1 (Bp + v− m)+ y⊤ 2 (Cp− q) +ρ 2‖Bp + v− m‖2 2 + ρ 2‖Cp− q‖2 2.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals We can thus rewrite (8) as min m,p ∑ i,j wi,j‖mi,j‖1 + y⊤ 1 (Bp + v− m)+ y⊤ 2 (Cp− q) +ρ 2‖Bp + v− m‖2 2 + ρ 2‖Cp− q‖2 2

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:40.174868Z

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Observation 237c8ff2-9c56-4ce8-a573-94c94ae5d8c0 · outbound

This paper cites an unresolved cited work.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Unresolved cited work

Reference 7

Resolution: parse uncertain; raw_fallback, observed 2026-08-14T12:56:40.130812Z

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Observation 524267cd-0737-4456-93a9-b86cf3a5ecf6 · outbound

This paper cites C2C (×10−1) of different models Model Low APSS RIMLS Initial Prop.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals C2C (×10−1) of different models Model Low APSS RIMLS Initial Prop

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:40.089971Z

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Observation 7cf2f1d1-b2b9-4ab4-b200-2be6df74cdd7 · outbound

This paper cites Point cloud models we use are Bunny, Dragon, Armadillo, Happy Buddha, Asian Dragon, and Lucy, pro- vided in [30].

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Point cloud models we use are Bunny, Dragon, Armadillo, Happy Buddha, Asian Dragon, and Lucy, pro- vided in [30]

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:40.051255Z

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Observation c1b4c6b5-b573-4cec-8f7a-2f1146dd6306 · outbound

This paper cites Real-time super-resolution for digital zooming using ﬁnite kernel-based edge orientation estimation and truncated image restoration,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Real-time super-resolution for digital zooming using ﬁnite kernel-based edge orientation estimation and truncated image restoration,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.601665Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d84e3c9-f82b-4255-aedc-a4b9c36f361b · outbound

This paper cites SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:56:38.441017Z

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Observation 69fc6bfd-5ad0-4d57-af1f-9347522a51e4 · outbound

This paper cites Progressive graph-signal sampling and encoding for static 3d geometry rep- resentation,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Progressive graph-signal sampling and encoding for static 3d geometry rep- resentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.960510Z

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Observation e31f6747-4df8-437f-a924-3b27f5f99af7 · outbound

This paper cites Intra-frame context-based octree coding for point-cloud geometry,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Intra-frame context-based octree coding for point-cloud geometry,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.931810Z

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Observation ee3b2d12-420c-4abb-8079-158229abe1e0 · outbound

This paper cites Compression of plenoptic point clouds,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Compression of plenoptic point clouds,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.877952Z

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Observation 975aa916-6835-4e32-9875-120fba7f16c0 · outbound

This paper cites However, [15] is ad-hoc in methodology and still suffers from over-smoothing, albeit to a lesser extent.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals However, [15] is ad-hoc in methodology and still suffers from over-smoothing, albeit to a lesser extent

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:40.294724Z

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Observation f6025193-2dc4-4831-87d4-91f3639d1382 · outbound

This paper cites Local 3D point cloud denoising via bipartite graph approximation & total variation,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Local 3D point cloud denoising via bipartite graph approximation & total variation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.842839Z

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Observation 757832d5-6235-463e-a61f-df68b5fb24f5 · outbound

This paper cites 3D Point Cloud Denoising via Bipartite Graph Approximation and Reweighted Graph Laplacian.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals 3D Point Cloud Denoising via Bipartite Graph Approximation and Reweighted Graph Laplacian

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T12:56:37.989000Z

Source-reported events for the cited work

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Observation 44b85ede-b0bd-487c-9df7-a99554ffca52 · outbound

This paper cites Super-resolution fourier transforms by optimisa- tion, and isar imaging,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Super-resolution fourier transforms by optimisa- tion, and isar imaging,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.763030Z

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Observation 981e8a7c-ca62-482f-9a85-f35dc591bdde · outbound

This paper cites Multi-scale patch-based image restoration,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Multi-scale patch-based image restoration,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.709148Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ec4b9ad1-b271-4c16-87b4-96d67df2de09 · outbound

This paper cites Hierarchical segmentation based point cloud attribute compression,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Hierarchical segmentation based point cloud attribute compression,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.653758Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c1f0620f-0847-4174-9ce2-c8a4c369b149 · outbound

This paper cites Laser scanner super- resolution.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Laser scanner super- resolution

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.562341Z

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Observation 10a5e25f-df89-46ce-b977-cf984ba4424c · outbound

This paper cites Computing and rendering point set surfaces,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Computing and rendering point set surfaces,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.502758Z

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Observation d8de3a2e-10e3-458b-9245-cb0fcab54e0f · outbound

This paper cites Algebraic point set surfaces,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Algebraic point set surfaces,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.469118Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2010635a-6559-430c-bc1d-786377e349df · outbound

This paper cites Feature pre- serving point set surfaces based on non-linear kernel regres- sion,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Feature pre- serving point set surfaces based on non-linear kernel regres- sion,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.442487Z

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Observation cf91f763-df16-4eb6-88e9-4fb3792f09d4 · outbound

This paper cites Edge-aware point set resampling,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Edge-aware point set resampling,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.413240Z

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Observation da2d4c16-90ea-48dd-9ba3-2cfa704a3e46 · outbound

This paper cites PU-Net: Point cloud upsampling network,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals PU-Net: Point cloud upsampling network,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.370310Z

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Observation 63f0f448-2373-4bb7-bc42-83a6f7ce60d8 · outbound

This paper cites Graph spectral image processing,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Graph spectral image processing,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.332867Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5230ff05-5652-4df3-8dda-9606bafb616c · outbound

This paper cites Graph signal processing: Overview, challenges, and applications,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Graph signal processing: Overview, challenges, and applications,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.270699Z

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Observation e30d2578-7363-4a10-be29-5c9a1221c60f · outbound

This paper cites Bipartite approximation for graph wavelet signal decomposition,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Bipartite approximation for graph wavelet signal decomposition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.202747Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 61cc469a-9228-487e-9744-6fffef18447b · outbound

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

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Dis- tributed optimization and statistical learning via the alternat- ing direction method of multipliers,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.164381Z

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Observation 5f1a694e-3c4d-4443-a035-f7e8f9e7f31b · outbound

This paper cites Proximal algorithms,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Proximal algorithms,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.125204Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0e3533b1-20ba-4fd0-9821-371226133f7a · outbound

This paper cites Wang, Geometric structure of high-dimensional data and di- mensionality reduction.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Wang, Geometric structure of high-dimensional data and di- mensionality reduction

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.079667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 28f35bca-5bc1-4d5a-b7fe-f1f958d69467 · outbound

This paper cites Bilateral ﬁltering for gray and color images,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Bilateral ﬁltering for gray and color images,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:39.027799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8f98f668-7c36-4fe9-a9ba-dd4d032ac668 · outbound

This paper cites Automatic data segmentation for geometric feature extraction from unorganized 3-d coordinate points,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Automatic data segmentation for geometric feature extraction from unorganized 3-d coordinate points,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:38.972570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 79d2dcf4-02ed-441c-8070-e6b36e87efea · outbound

This paper cites Kanatani, Statistical optimization for geometric computa- tion: theory and practice.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Kanatani, Statistical optimization for geometric computa- tion: theory and practice

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:38.899834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 33ca5c89-8945-461b-bfd6-5df710e8a29f · outbound

This paper cites On the normal vector estimation for point cloud data from smooth surfaces,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals On the normal vector estimation for point cloud data from smooth surfaces,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:38.818103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f2f8d84f-a223-44af-bf2e-f697ee50f54e · outbound

This paper cites Continuous shading of curved surfaces,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Continuous shading of curved surfaces,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:38.779310Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f47778e1-0a16-4025-8cc2-ccde2b4f3f67 · outbound

This paper cites A comparison of algorithms for vertex normal computation,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals A comparison of algorithms for vertex normal computation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:38.740972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c2ffb03a-34ce-4340-8fb3-48382e802532 · outbound

This paper cites Piecewise linear regularized solution paths,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Piecewise linear regularized solution paths,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:38.713160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4cd38f16-551f-4a2a-9878-a408023ae7c7 · outbound

This paper cites The Stanford 3D scanning repository,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals The Stanford 3D scanning repository,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:38.663415Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 737355d0-7420-4238-915c-5559f017efc9 · outbound

This paper cites Geo- metric distortion metrics for point cloud compression,.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Geo- metric distortion metrics for point cloud compression,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:38.602348Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 319d03ae-5b5a-4ab9-80b9-385d874ef61d · outbound

This paper cites Meshlab: an open-source mesh pro- cessing tool.

3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals Meshlab: an open-source mesh pro- cessing tool

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:56:38.566027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation adfd057e-58ae-46a7-86d8-93d91d4745b3 · inbound