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Paper Citation Record · LEDGER

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion

As of 10 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2607.20660.

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

pith.paper-citation-record.v1
2607.20660 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:45:40.531760Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

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

62 of 62 outbound references displayed

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  • verified fuzzy0
  • unresolved60
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a2f50c3-7bc8-4363-a3a6-9b8006603d95 · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 1

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source=pdf_text observed=2026-08-01T09:45:36.183835Z digest=sha256:b83628a12a7b801e22c371e056b810d6ba19d34ba3e75c292665f0a0cd5c9337

Observation 34132f07-83b4-4a48-926d-9f6cef79f45a · outbound

This paper cites In: Sensor fusion IV: control paradigms and data structures.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Sensor fusion IV: control paradigms and data structures

Reference 2

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Observation 33d529df-b1d9-41e3-8652-90a10d49621e · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion ShapeNet: An Information-Rich 3D Model Repository

Reference 3

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Observation f7973da6-05be-4999-a59f-5da5db8c7769 · outbound

This paper cites In: The Fourteenth International Conference on Learning Representations (2026), https://openreview.net/forum?id=z0QLeooEEf.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: The Fourteenth International Conference on Learning Representations (2026), https://openreview.net/forum?id=z0QLeooEEf

Reference 4

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source=pdf_text observed=2026-08-01T09:45:36.458534Z digest=sha256:54b13d31722c08e865dec6b8006c5e5cfcd26ce1eb4969de47d4c5e500adccc3

Observation c4b1dbf4-0819-461a-8398-2ece9a0e8bc1 · outbound

This paper cites SAM 3D: 3Dfy Anything in Images.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion SAM 3D: 3Dfy Anything in Images

Reference 5

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source=pdf_text observed=2026-08-01T09:45:36.595347Z digest=sha256:409c1672ea57318175a87af0270ac3ad9d508296019ccc3e97df09f3af8f2901

Observation da845a3e-89ff-4a51-982a-d262d211c009 · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 6

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source=pdf_text observed=2026-08-01T09:45:36.660054Z digest=sha256:40a8ab8a54b7fe96bd4ccb08583fcfe462fcf4c94c905d5078bde15e91c9dccb

Observation 6b3e5c65-8604-409f-885a-322dd57ec577 · outbound

This paper cites arXiv preprint arXiv:2510.22975 (2025).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion arXiv preprint arXiv:2510.22975 (2025)

Reference 7

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source=pdf_text observed=2026-08-01T09:45:36.748958Z digest=sha256:d4b4566bd76f529c9d37d1170918e68a950e1934ec207002e7b47d9b6b52a006

Observation 0f7f1f94-07f5-4e76-bbf2-fce713078f51 · outbound

This paper cites Advances in Neural Information Processing Systems36, 35799–35813 (2023).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion Advances in Neural Information Processing Systems36, 35799–35813 (2023)

Reference 8

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source=pdf_text observed=2026-08-01T09:45:36.809673Z digest=sha256:338e9d3b3a04c467d757d1dc84bd1f33bfdfb459ce6638b64aa6ab65f95d1511

Observation 0ea38150-f937-4a5b-8b1a-c0ab8456481d · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence40(3), 611–625 (2018).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion IEEE Transactions on Pattern Analysis and Machine Intelligence40(3), 611–625 (2018)

Reference 9

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source=pdf_text observed=2026-08-01T09:45:36.910237Z digest=sha256:ecffe88ef1156e4076d145e35e18a5c8e00e7ce7198d9e7bfaa81605197cf8da

Observation 205d310f-2e12-4e8e-bb87-1dbbf6f375ea · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)

Reference 10

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source=pdf_text observed=2026-08-01T09:45:37.005462Z digest=sha256:e0681c0cc3dba3c9c5a0c9fb277b162e8cd25a23678dfc1197969975ea42d88f

Observation 7052e8dc-30b1-4573-9579-9fe5dc852b13 · outbound

This paper cites ObjFiller3D: Scaling 3D Object Inpainting to Dense Multi-View Consistency.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion ObjFiller3D: Scaling 3D Object Inpainting to Dense Multi-View Consistency

Reference 11

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source=pdf_text observed=2026-08-01T09:45:37.090211Z digest=sha256:e233cef336eb9026a37f8d65f7826120cf3ca5ea126839ea6c0444fc4b937c6c

Observation 3d007a24-0813-429c-bcf9-a062e4e1cd85 · outbound

This paper cites International Journal of Computer Vision129(12), 3313–3337 (2021).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion International Journal of Computer Vision129(12), 3313–3337 (2021)

Reference 12

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-01T09:45:37.190218Z digest=sha256:29a930d04e0fc29429c8555495772e8d04ee7e89724e8e5f812446ccc12afc73

Observation 85843fbd-f8ee-4272-8914-ee763a94c443 · outbound

This paper cites arXiv preprint arXiv:2602.10173 (2026).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion arXiv preprint arXiv:2602.10173 (2026)

Reference 13

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source=pdf_text observed=2026-08-01T09:45:37.280291Z digest=sha256:802cc5f2f2a0ce4c57291bf28155f57dbb70b12b0edb3978bc25ff02cb14699c

Observation 09f1182c-b0d6-49b6-8d2b-9931c3820eb8 · outbound

This paper cites The Llama 3 Herd of Models.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion The Llama 3 Herd of Models

Reference 14

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Observation 0bdab46b-272b-42d6-910f-f3ee03ec3bdc · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision (ICCV).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE International Conference on Computer Vision (ICCV)

Reference 15

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source=pdf_text observed=2026-08-01T09:45:37.426645Z digest=sha256:e1f6d9960a71f12ffc6fbf649ef8cd79ebfbbf66406645780c27b5a3dc7ae61d

Observation 09bfba48-6019-46bc-a517-28800ecc5c17 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Advances in Neural Information Processing Systems

Reference 16

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Observation e7221456-355d-4b26-91ab-b4c6330228b9 · outbound

This paper cites In: NeurIPS 2021 Work- shop on Deep Generative Models and Downstream Applications (2021), https: //openreview.net/forum?id=qw8AKxfYbI.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: NeurIPS 2021 Work- shop on Deep Generative Models and Downstream Applications (2021), https: //openreview.net/forum?id=qw8AKxfYbI

Reference 17

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Observation 93848070-4309-4d15-af03-3778d7fb2534 · outbound

This paper cites VecSet-Edit: Unleashing Pre-trained LRM for Mesh Editing from Single Image.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion VecSet-Edit: Unleashing Pre-trained LRM for Mesh Editing from Single Image

Reference 18

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Observation 3aa0f0f0-9ac2-4040-972a-6a4bcded52dc · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)

Reference 19

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Observation 92613337-d3c7-4b49-8c11-7d298fe05fe3 · outbound

This paper cites Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

Reference 20

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Observation 3e8a0041-cc9c-4415-98c5-0cf74d129ee9 · outbound

This paper cites arXiv preprint arXiv:2509.21245 (2025).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion arXiv preprint arXiv:2509.21245 (2025)

Reference 21

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Observation ac44c1eb-9356-46cd-af38-4105719d6d56 · outbound

This paper cites In: International Con- ference on 3D Vision (3DV).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: International Con- ference on 3D Vision (3DV)

Reference 22

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Observation 6a18ae7a-f007-44d1-9888-ae53d1853055 · outbound

This paper cites ACM Transactions On Graphics (TOG)42(4) (2023).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion ACM Transactions On Graphics (TOG)42(4) (2023)

Reference 23

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Observation 2deb6171-ab0c-4c48-b053-f027b398d57c · outbound

This paper cites ACM Transactions On Graphics (TOG)42(4) (July 2023), https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion ACM Transactions On Graphics (TOG)42(4) (July 2023), https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/

Reference 24

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Observation 36af770a-df97-4cfe-bb4a-a25774235af9 · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 25

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Observation 525c3d2a-bab1-44be-820e-63c8d87e40ca · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 26

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Observation 574af5ff-5edc-4e14-8b0e-505a66173d28 · outbound

This paper cites In: The Fourteenth International Conference on Learning Representations (2026), https://openreview.net/forum?id=yirunib8l8.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: The Fourteenth International Conference on Learning Representations (2026), https://openreview.net/forum?id=yirunib8l8

Reference 27

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Observation bf5060e2-dffa-4226-9754-bba78f2f6550 · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 28

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Observation c36b3963-9b1f-4876-acfe-7f86f3bfc5d8 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2019), https://openreview.net/ forum?id=Bkg6RiCqY7.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: International Conference on Learning Representations (ICLR) (2019), https://openreview.net/ forum?id=Bkg6RiCqY7

Reference 29

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Observation cd1455f1-0739-4385-b367-2557000bb0f4 · outbound

This paper cites In: Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Labs.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Labs

Reference 30

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Observation c1901e42-1bb8-4b7b-b352-cf34872a149d · outbound

This paper cites ACM Transactions on Graphics (TOG) 43(4), 1–11 (2024).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion ACM Transactions on Graphics (TOG) 43(4), 1–11 (2024)

Reference 31

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Observation 0b3ec0dd-57a7-46b5-a887-07ab815f319a · outbound

This paper cites ACM Transactions on Graphics (TOG)43(6), 1–19 (2024).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion ACM Transactions on Graphics (TOG)43(6), 1–19 (2024)

Reference 32

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Observation d689e50a-49ef-4043-ae1c-26a411b77365 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion DINOv2: Learning Robust Visual Features without Supervision

Reference 33

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Observation 9a457cf5-77ef-4eba-ab8c-364df4488c10 · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 34

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Observation 7ce68551-89d3-4738-9f59-d0fb609241c3 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Advances in Neural Information Processing Systems

Reference 35

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Observation bb3b59a2-c2de-4716-b628-7abd948f0a13 · outbound

This paper cites DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View Diffusion.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View Diffusion

Reference 36

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source=pdf_text observed=2026-08-01T09:45:38.823708Z digest=sha256:01cda7863cafc77d14c7debd70fa48997d8968b60e369eb620b1a7df1968ace4

Observation ee19c88c-a17c-4e0f-b352-2694183663c8 · outbound

This paper cites In: The Thirteenth International Conference on Learning Representations (2025), https://openreview.net/forum?id=Ha6RTeWMd0.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: The Thirteenth International Conference on Learning Representations (2025), https://openreview.net/forum?id=Ha6RTeWMd0

Reference 37

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source=pdf_text observed=2026-08-01T09:45:38.879303Z digest=sha256:e76e52d9971d5876e8d693853a1258fde6fabf46bc4438ad0f3b2b632bc4b9ec

Observation cc1f2e76-4be8-4550-9ca2-2018c4f71e90 · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 38

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source=pdf_text observed=2026-08-01T09:45:38.928718Z digest=sha256:364f22b0a9e482c483e4d54394c0d37877a1cd123062baae8fd2bc185629ba6b

Observation 8cede2bc-bb38-49c8-9d4c-68a0932e35c9 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2016).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (June 2016)

Reference 39

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source=pdf_text observed=2026-08-01T09:45:38.994333Z digest=sha256:19d2635bd1bdeae4ef7db4eeba61be96ca1b02566d6d4b167154d420157dc21e

Observation 02b0d200-c72f-415c-9f27-040d356308bb · outbound

This paper cites arXiv preprint arXiv:2601.11514 (2026).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion arXiv preprint arXiv:2601.11514 (2026)

Reference 40

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source=pdf_text observed=2026-08-01T09:45:39.054976Z digest=sha256:4df4c1dc5f6c28673025a3abe7c40778b81b5b88124236719108ea2d90b8dac8

Observation 628357e0-97a8-4316-91c9-247a139fb032 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Advances in Neural Information Processing Systems

Reference 41

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source=pdf_text observed=2026-08-01T09:45:39.105642Z digest=sha256:6542060883f96a3a857ee3466853d65831cd2cba702f8d517a2a0d6ae0cf3f60

Observation c2f7ab44-2106-4e84-8237-b6a7bb314f76 · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 42

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source=pdf_text observed=2026-08-01T09:45:39.163151Z digest=sha256:9577e407c1aae3ca4c39486277dc134d879245b0b672d4376ebc8cfeebac97bc

Observation 22278bca-f2fd-4167-a231-49db2b0aa8a2 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Reference 43

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source=pdf_text observed=2026-08-01T09:45:39.216031Z digest=sha256:49b1799bcda4aa3912949c65dd824d655e6c0c13447577abdf4aac23069ac265

Observation e36419f4-546e-4c4a-8789-b9c1cf14509f · outbound

This paper cites In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition (CVPR).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition (CVPR)

Reference 44

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source=pdf_text observed=2026-08-01T09:45:39.298173Z digest=sha256:cb3414bc29084d401228705524c74973efc793cfdea6f76ab19393b952b0a46c

Observation 8c45d6db-f284-49e6-9304-a701fec6c423 · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 45

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source=pdf_text observed=2026-08-01T09:45:39.384833Z digest=sha256:f3d9c0fe3b290b6ddc27bfa782bb00ed8345f6f37cd772b3dd156a2cff7c9b00

Observation 983871dc-c786-4941-8c25-c31f69d3f494 · outbound

This paper cites In: The Fourteenth International Conference on Learning Representations (2026), https: //openreview.net/forum?id=DTQIjngDta.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: The Fourteenth International Conference on Learning Representations (2026), https: //openreview.net/forum?id=DTQIjngDta

Reference 46

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source=pdf_text observed=2026-08-01T09:45:39.446326Z digest=sha256:fec6f803eddd497f83d845e38aada685f999421969abbfac70edaaf78ec4df22

Observation f0bc5a7d-9074-4445-846d-5ecdcb98894b · outbound

This paper cites In: The Thirty- ninth Annual Conference on Neural Information Processing Systems (2026), https: //openreview.net/forum?id=n3armuTFit.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: The Thirty- ninth Annual Conference on Neural Information Processing Systems (2026), https: //openreview.net/forum?id=n3armuTFit

Reference 47

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source=pdf_text observed=2026-08-01T09:45:39.513168Z digest=sha256:719172ca900b9b0cdb520ef83358a388a4eb4c864d7bf9d68e13ece092372197

Observation ae332897-01de-47b8-94f5-ca3648b6e3c7 · outbound

This paper cites Conference on Computer Vision and Pattern Recognition (CVPR) (2025).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion Conference on Computer Vision and Pattern Recognition (CVPR) (2025)

Reference 48

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source=pdf_text observed=2026-08-01T09:45:39.610598Z digest=sha256:0b8f77bc5a15c63aab007c8453abcccdc0fcf8cba1e4b56ddb08d6b7a906cd64

Observation 17ba255a-deb8-49a9-b97c-355bd4aaafb6 · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF Inter- national Conference on Computer Vision

Reference 49

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source=pdf_text observed=2026-08-01T09:45:39.690653Z digest=sha256:c3cfbe8d62174318f9d6910499353bb967b22a3238ea56532fc8c60a6df9bb0f

Observation 4d7bf0ea-0e0d-4f65-9dc8-9bb373914406 · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 50

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source=pdf_text observed=2026-08-01T09:45:39.761896Z digest=sha256:b4bbeee91ef0b7ca157c92192fe7c352e68e0496b4f464c0658f8d3550db39ab

Observation bd70f3b4-3967-4847-9c93-27b9ac61d4d9 · outbound

This paper cites Tech report (2025).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion Tech report (2025)

Reference 51

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source=pdf_text observed=2026-08-01T09:45:39.855221Z digest=sha256:ff221e6e97b40ff3358eeaff108be56c7640a5e32afdd03a2f11d23da0e495fc

Observation a83194b9-d356-46a3-b7c9-739de8fa89cb · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 52

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source=pdf_text observed=2026-08-01T09:45:39.924323Z digest=sha256:7ec365c1cc9e1790f3f2f281e103901ec4c5f66a77146ed17058d42fc8eb35ac

Observation 0e173a46-1d10-413d-8b85-78fec460f6ac · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the European Conference on Computer Vision (ECCV)

Reference 53

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source=pdf_text observed=2026-08-01T09:45:39.987539Z digest=sha256:f435fab4672813712f65bc68e8669ce030d433985fb36116019b8e0c0acb3216

Observation 9aaeff2b-3481-4a5d-98c0-d22e58e972e0 · outbound

This paper cites PoseMaster: A Unified 3D Native Framework for Stylized Pose Generation.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion PoseMaster: A Unified 3D Native Framework for Stylized Pose Generation

Reference 54

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source=pdf_text observed=2026-08-01T09:45:40.045480Z digest=sha256:f83ff1047e9ac2ace36d97518ab81bc37ff61d8550bf58e560cf60937c69de5e

Observation 690a6df0-059f-4c00-b2b0-059b365c955b · outbound

This paper cites ACM Transactions On Graphics (TOG)44(4) (2025).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion ACM Transactions On Graphics (TOG)44(4) (2025)

Reference 55

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source=pdf_text observed=2026-08-01T09:45:40.101940Z digest=sha256:9fc82b2f41529b54e700345aa05b944339915df38b2fd90559e50d578b9dd3d2

Observation eace37ee-0cbf-4873-8d2e-d0f60fa1f6ac · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 56

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source=pdf_text observed=2026-08-01T09:45:40.203188Z digest=sha256:22e0d3edd7e74587ee8569a343bc0da3d944ee0f3ffb741282a2d04865316b97

Observation eb4d5701-88bd-4ec5-b1bd-c2271f7515f7 · outbound

This paper cites https://github.com/1zb/VecSetX (2025).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion https://github.com/1zb/VecSetX (2025)

Reference 57

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source=pdf_text observed=2026-08-01T09:45:40.269128Z digest=sha256:106be3659602e442ee135ae9a3e8e2ad45a1383b88765894bd0dc5dcb203dbb0

Observation 22b20cc8-22fc-4feb-bcdb-02271e0ef578 · outbound

This paper cites ACM Transactions On Graphics (TOG)42(4), 1–16 (2023).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion ACM Transactions On Graphics (TOG)42(4), 1–16 (2023)

Reference 58

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source=pdf_text observed=2026-08-01T09:45:40.320492Z digest=sha256:edc6f87e555a40581ab3009431f8445dbeecfc2e471b15dee8dae198983fbcda

Observation 7b439325-32c8-4d8c-902f-885c675bbf37 · outbound

This paper cites ACM Transactions On Graphics (TOG)43(4) (2024).

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion ACM Transactions On Graphics (TOG)43(4) (2024)

Reference 59

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source=pdf_text observed=2026-08-01T09:45:40.366241Z digest=sha256:b251b39ee88e13f2d60062fd75d0614487f835313faa35ad1ac273b1e134fb57

Observation 38d9f368-78df-4ff9-839e-9bb281f875f2 · outbound

This paper cites EscherNet++: Simultaneous Amodal Completion and Scalable View Synthesis through Masked Fine-Tuning and Enhanced Feed-Forward 3D Reconstruction.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion EscherNet++: Simultaneous Amodal Completion and Scalable View Synthesis through Masked Fine-Tuning and Enhanced Feed-Forward 3D Reconstruction

Reference 60

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source=pdf_text observed=2026-08-01T09:45:40.424131Z digest=sha256:f9afcedee807382e7f67bc3131b3a604bfbff746dad1ea3e73e248ead923428c

Observation 722e3b6a-567b-44b4-8139-6b1e7e46d778 · outbound

This paper cites GENA3D: Generative Amodal 3D Modeling by Bridging 2D Priors and 3D Coherence.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion GENA3D: Generative Amodal 3D Modeling by Bridging 2D Priors and 3D Coherence

Reference 61

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source=pdf_text observed=2026-08-01T09:45:40.480130Z digest=sha256:8a5a1e6aeb6f42f242dfc4650ec054d1badf909748c0d79739f3e33eec6a25fb

Observation 246a6c90-c728-487d-aa50-f22e6e33aca5 · outbound

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

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion In: Proceedings of the European Conference on Computer Vision (ECCV)

Reference 62

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verified exact
doi, observed 2026-08-01T09:49:26.801876Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-01T09:45:40.531760Z digest=sha256:ed9159c407e39388887cebde0f3cf5c02dad6fdae2246984153706b3b497f66f

Pith citing papers

No inbound Pith citation observations are available.