Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds | Paper Citation Record

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This paper cites ACM Transactions on Graphics44(4), 1–19 (2025).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Transactions on Graphics44(4), 1–19 (2025)

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This paper cites Computer-Aided Design36(2), 161–174 (2004).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Computer-Aided Design36(2), 161–174 (2004)

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This paper cites In: Proceedings of the twenty-sixth annual symposium on Computa- tional geometry.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the twenty-sixth annual symposium on Computa- tional geometry

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This paper cites ACM Transactions on Graphics34(2), 1–11 (2015).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Transactions on Graphics34(2), 1–11 (2015)

Reference 4

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This paper cites Theoretical Computer Science408(2-3), 163–173 (2008).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Theoretical Computer Science408(2-3), 163–173 (2008)

Reference 5

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Reference 6

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Reference 7

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds applications

Reference 8

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog- nition

Reference 9

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This paper cites ACM Transactions on Graphics35(6), 1–12 (2016).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Transactions on Graphics35(6), 1–12 (2016)

Reference 10

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This paper cites The Vi- sual Computer22(9), 885–895 (2006).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds The Vi- sual Computer22(9), 885–895 (2006)

Reference 11

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence47(1), 565–582 (2024).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds IEEE Transactions on Pattern Analysis and Machine Intelligence47(1), 565–582 (2024)

Reference 12

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This paper cites Mathematics of Computation76(257), 179–204 (2007).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Mathematics of Computation76(257), 179–204 (2007)

Reference 13

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This paper cites ACM Transactions on Graphics41(4), 1–13 (2022).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Transactions on Graphics41(4), 1–13 (2022)

Reference 14

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Transactions on Graphics (TOG)40(6), 1–15 (2021)

Reference 15

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2017).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2017)

Reference 16

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This paper cites Computer Aided Geometric Design111, 102314 (2024) HD-PEA 17.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Computer Aided Geometric Design111, 102314 (2024) HD-PEA 17

Reference 17

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Reference 18

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This paper cites Procedia Engineering124, 265–277 (2015).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Procedia Engineering124, 265–277 (2015)

Reference 19

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This paper cites Comput- ers & Graphics35(3), 483–491 (2011).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Comput- ers & Graphics35(3), 483–491 (2011)

Reference 20

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This paper cites In: Proceedings of the 17th international Meshing Roundtable.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the 17th international Meshing Roundtable

Reference 21

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds SIAM Journal on Scientific Computing26(3), 737–761 (2005)

Reference 22

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This paper cites In: ICLR Workshop on Representation Learning on Graphs and Manifolds (2019).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: ICLR Workshop on Representation Learning on Graphs and Manifolds (2019)

Reference 23

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Transactions on Graphics24(3), 544–552 (2005)

Reference 24

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds IEEE Transactions on Pattern Analysis and Machine Intelligence24(10), 1349– 1357 (2002)

Reference 25

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This paper cites International journal for numerical methods in engineering45(1), 101–118 (1999).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds International journal for numerical methods in engineering45(1), 101–118 (1999)

Reference 26

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This paper cites ACM Transactions on Graphics33(6), 1–11 (2014).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Transactions on Graphics33(6), 1–11 (2014)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.654010Z

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This paper cites In: Proceedings of the 34th Interna- tional Conference on Neural Information Processing Systems (2020).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the 34th Interna- tional Conference on Neural Information Processing Systems (2020)

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.658173Z

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This paper cites In: Proceedings of the 24th annual conference on Computer graphics and interactive techniques.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the 24th annual conference on Computer graphics and interactive techniques

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.662730Z

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This paper cites In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Wang, S., Kyungnam, K., Benes, B., Moreland, K., Borst, C., DiVerdi, S., Yi-Jen, C., Ming, J.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Wang, S., Kyungnam, K., Benes, B., Moreland, K., Borst, C., DiVerdi, S., Yi-Jen, C., Ming, J

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.666622Z

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This paper cites Computer Graphics Forum37(2), 75–85 (2018).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Computer Graphics Forum37(2), 75–85 (2018)

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.670811Z

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This paper cites Point2Mesh: A Self-Prior for Deformable Meshes.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Point2Mesh: A Self-Prior for Deformable Meshes

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.675871Z

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This paper cites Computational Geometry14(1–3), 49–65 (1999).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Computational Geometry14(1–3), 49–65 (1999)

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.680776Z

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Transactions on Graphics 28(5), 1–7 (Dec 2009)

Reference 34

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 35

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) 18 H

Reference 36

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This paper cites In: Proceedings of the 29th annual conference on Computer graphics and interactive techniques.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the 29th annual conference on Computer graphics and interactive techniques

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.698710Z

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Unavailable: canonical work link unavailable.

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This paper cites In: Proceed- ings of the fourth Eurographics symposium on Geometry processing.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceed- ings of the fourth Eurographics symposium on Geometry processing

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.702783Z

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This paper cites In: Proceedings of the 14th ACM Symposium on solid and physical modeling.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the 14th ACM Symposium on solid and physical modeling

Reference 39

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This paper cites GitHub Repository.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds GitHub Repository

Reference 40

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This paper cites In: Proceedings of the 21st international meshing roundtable.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the 21st international meshing roundtable

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.716031Z

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This paper cites In: SIGGRAPH Asia 2024 Conference Papers (2024).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: SIGGRAPH Asia 2024 Conference Papers (2024)

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.720231Z

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This paper cites ACM Transactions on Graphics43(6) (2024).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Transactions on Graphics43(6) (2024)

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.724555Z

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This paper cites ACM Transactions on Graphics26(3), 22–es (Jul 2007).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Transactions on Graphics26(3), 22–es (Jul 2007)

Reference 44

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This paper cites In: Seminal graphics: pioneering efforts that shaped the field, pp.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Seminal graphics: pioneering efforts that shaped the field, pp

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.733376Z

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This paper cites In: International Conference on Learning Representations (2019).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: International Conference on Learning Representations (2019)

Reference 46

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds IEEE Transactions on Visualization and Computer Graphics24(8), 2315–2326 (2018)

Reference 47

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.745700Z

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.749818Z

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This paper cites ACM Transactions on Graphics33(4) (2014).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Transactions on Graphics33(4) (2014)

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.753704Z

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This paper cites Annals of Mathematics60(3), 383–396 (1954).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Annals of Mathematics60(3), 383–396 (1954)

Reference 51

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Annals of mathemat- ics63(1), 20–63 (1956)

Reference 52

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This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.765983Z

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This paper cites ACM Transactions on Graphics33(4), 134:1– 134:11 (2014).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Transactions on Graphics33(4), 134:1– 134:11 (2014)

Reference 54

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This paper cites In: NIPS 2017 Workshop on Autodiff (2017) HD-PEA 19.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: NIPS 2017 Workshop on Autodiff (2017) HD-PEA 19

Reference 55

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds on lines and planes of closest fit to systems of points in space

Reference 56

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Advances in Neural Information Pro- cessing Systems (NeurIPS) (2021)

Reference 57

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This paper cites Procedia engineering163, 97–109 (2016).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Procedia engineering163, 97–109 (2016)

Reference 58

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Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.790537Z

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This paper cites In: Proceedings of the European Conference on Computer Vision.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the European Conference on Computer Vision

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.794615Z

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This paper cites Ap- plied Numerical Mathematics14(1–3), 183–198 (1994).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Ap- plied Numerical Mathematics14(1–3), 183–198 (1994)

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.798716Z

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This paper cites In: Proc.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proc

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.802788Z

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Trans- actions on Graphics23(3), 399–405 (Aug 2004)

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.806869Z

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Communications of the ACM17(1), 32–42 (1974)

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.810775Z

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This paper cites IEEE Transactions on Visual- ization and Computer Graphics14(2), 369–381 (2008).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds IEEE Transactions on Visual- ization and Computer Graphics14(2), 369–381 (2008)

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.814815Z

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This paper cites In: DAGM German Conference on Pattern Recognition.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: DAGM German Conference on Pattern Recognition

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.818985Z

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This paper cites In: Proceedings of the European Conference on Computer Vision.

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the European Conference on Computer Vision

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.822887Z

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Unresolved cited work

Reference 68

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the 21st Annual Conference on Computer Graphics and Interactive Techniques

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.831668Z

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.835835Z

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.839817Z

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds SIAM journal on scientific computing26(1), 313–338 (2004)

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.844187Z

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This paper cites Computer Aided Geometric Design 71, 43–62 (2019).

Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Computer Aided Geometric Design 71, 43–62 (2019)

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.848335Z

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Transactions on Graphics32(4) (2013) 20 H

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.852763Z

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds ACM Trans- actions on Graphics37(4) (2018)

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-03T01:35:28.857277Z

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Learning Manifolds in High-D Point Embedding for Anisotropic Surface Approximation from Unstructured Point Clouds Thingi10K: A Dataset of 10,000 3D-Printing Models

Reference 76

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