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Paper Citation Record · LEDGER

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction

As of 13 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 0 inbound Pith citation observations for arXiv:2412.04464.

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

pith.paper-citation-record.v1
2412.04464 v5

Coverage vector

measured 99 of 99 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:30:06.007083Z

measured 99 of 99 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

99 of 99 outbound references displayed

  • verified exact2
  • verified fuzzy47
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd307e1e-2d33-4d90-8922-4bb40d98f3c7 · outbound

This paper cites AutoAvatar: Au- toregressive neural fields for dynamic avatar modeling.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction AutoAvatar: Au- toregressive neural fields for dynamic avatar modeling

Reference 1

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source=pdf_text observed=2026-08-11T21:30:05.522913Z digest=sha256:57149cb072edfc1dcafd42792ce6dd6ebfcd3694a7f5349c65f55111328dcd1f

Observation 1218561a-ab7c-4cfb-b25b-dd02ee15c051 · outbound

This paper cites Narasimhan.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Narasimhan

Reference 2

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source=pdf_text observed=2026-08-11T21:30:05.529656Z digest=sha256:57f9ee1f0bc5223661218ef0b975e51ffc8410386b1af433ee3ff20021b4d62f

Observation dd7b85dc-571d-4f2f-828a-82178936d7f3 · outbound

This paper cites Fitzgibbon, and Roberto Cipolla.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Fitzgibbon, and Roberto Cipolla

Reference 3

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source=pdf_text observed=2026-08-11T21:30:05.534499Z digest=sha256:e8fb019160ff7ea4964d90efc34e1af0407546dd9dec60193ed78bd00947ea89

Observation 96705c98-7100-4e21-833a-146b107092b6 · outbound

This paper cites Goat image dataset.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Goat image dataset

Reference 4

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source=pdf_text observed=2026-08-11T21:30:05.544640Z digest=sha256:96b47594ccf9ab6c63f46be12541ea69123dcbcae55e3c637a42d81115606be3

Observation 6606a686-80d5-45ad-b792-27e6e2df21be · outbound

This paper cites HexPlane: A Fast Representation for Dynamic Scenes.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction HexPlane: A Fast Representation for Dynamic Scenes

Reference 5

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source=pdf_text observed=2026-08-11T21:30:05.552305Z digest=sha256:6fbe30068cad4a7336fbaaf02e8a8292666685c5396f6acf44ce480b0453e5f5

Observation 2229160e-d913-400c-a3aa-5acd7cf637ab · outbound

This paper cites Relighting4D: Neural relightable human from videos.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Relighting4D: Neural relightable human from videos

Reference 6

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source=pdf_text observed=2026-08-11T21:30:05.558162Z digest=sha256:5b8937c8c6c59e3d73e0a689f06a633a3b81ea5a2138d99aace77276045c5a29

Observation 7b92b435-ee1c-464d-a52a-fbe6b93499f1 · outbound

This paper cites DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos

Reference 7

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source=pdf_text observed=2026-08-11T21:30:05.563425Z digest=sha256:a056c801b238cd0989da23eb189940152a2cef22dff894340913b1cee4fe1774

Observation 26269e56-6780-4f70-9f48-74f27c0c9285 · outbound

This paper cites Tenen- baum, and Jiajun Wu.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Tenen- baum, and Jiajun Wu

Reference 8

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source=pdf_text observed=2026-08-11T21:30:05.568684Z digest=sha256:ee770a2de65758d599dca0e069742e324e1f71f59c0626bc2afe8491748735b0

Observation 8e32e6eb-1e14-47c4-9e02-c040225a661f · outbound

This paper cites MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motion.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motion

Reference 9

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source=pdf_text observed=2026-08-11T21:30:05.573454Z digest=sha256:7567f7ddba763da9a0a11379a33008873e8d4b61b0980f9f48ee91867a16034c

Observation d0df4337-d05f-4009-b013-6bc447a5fb26 · outbound

This paper cites DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation

Reference 10

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source=pdf_text observed=2026-08-11T21:30:05.580052Z digest=sha256:ead89046dce407cf829441ee72c16ef77132efd3f12e0cbcc9f8a2ae025e6259

Observation 6b9865cf-3f41-499d-ba46-f9cb9dcea806 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Taming transformers for high-resolution image synthesis

Reference 11

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source=pdf_text observed=2026-08-11T21:30:05.589232Z digest=sha256:157166943e68f3c7dd8201cd17e8ffc2aa9daa59f4a07a85481e5abe01818378

Observation 785d932e-5c60-4fc1-af22-07657fbf9f80 · outbound

This paper cites Everingham, L.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Everingham, L

Reference 12

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source=pdf_text observed=2026-08-11T21:30:05.594123Z digest=sha256:107dbaeff7f39971b5d39196bc0177694e580e7e8b092804e56038f1cb9697eb

Observation f751258a-4790-4f34-8ca8-e1d5b7fb9995 · outbound

This paper cites Gaussian Splashing: Unified Particles for Versatile Motion Synthesis and Rendering.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Gaussian Splashing: Unified Particles for Versatile Motion Synthesis and Rendering

Reference 13

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source=pdf_text observed=2026-08-11T21:30:05.598867Z digest=sha256:30fb22ab9d247db0e0492359f51896ec63b57c4f88d5e7544f406d417780028f

Observation 4eada8de-460c-41a7-92f1-f27791cd3d72 · outbound

This paper cites K-Planes: Explicit Radiance Fields in Space, Time, and Appearance.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction K-Planes: Explicit Radiance Fields in Space, Time, and Appearance

Reference 14

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source=pdf_text observed=2026-08-11T21:30:05.603788Z digest=sha256:69e1d1cf8370142c9f2498f75513fb5e10cbccd63d5c751e4f8a4240af425508

Observation e1136f04-f3fe-44df-b371-671dc198815e · outbound

This paper cites Dynamic neural radiance fields for monocular 4d facial avatar reconstruction.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Dynamic neural radiance fields for monocular 4d facial avatar reconstruction

Reference 15

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source=pdf_text observed=2026-08-11T21:30:05.609349Z digest=sha256:b26700233da72c18829b1114ca0d8c8bb5f1be5866c22054f0b31309d0f7e7ce

Observation 06340696-a407-40a9-8a34-f8eb0e8c2c26 · outbound

This paper cites Dynamic view synthesis from dynamic monocular video.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Dynamic view synthesis from dynamic monocular video

Reference 16

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source=pdf_text observed=2026-08-11T21:30:05.614769Z digest=sha256:c654409fde51ab62dbd87c5bc7850310d9a18cca171e3651260e29168d07ec1e

Observation d97218c4-2b3c-4ed2-9b32-ebe790c76b59 · outbound

This paper cites Shape and viewpoints without keypoints.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Shape and viewpoints without keypoints

Reference 17

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source=pdf_text observed=2026-08-11T21:30:05.620226Z digest=sha256:80b3479c49798428eb91635f9911c57cd7e9e7204d59a1ecaef01b100ad0cde3

Observation 3f7cebec-405c-4c0d-9779-c27562c2a773 · outbound

This paper cites Farm3D: Learning articulated 3D ani- mals by distilling 2D diffusion.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Farm3D: Learning articulated 3D ani- mals by distilling 2D diffusion

Reference 18

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source=pdf_text observed=2026-08-11T21:30:05.626832Z digest=sha256:463ea06f95ebcd77f39442ec3cf760cc7568f0497fd0252e57fa6cfaecb1a601

Observation f60b9f00-3f01-4d47-8d5b-fdb34942ff05 · outbound

This paper cites VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality

Reference 19

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Observation cbda2304-36a1-4ef6-a36a-0f724a76a507 · outbound

This paper cites What uncertainties do we need in Bayesian deep learning for computer vision? Proc.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction What uncertainties do we need in Bayesian deep learning for computer vision? Proc

Reference 20

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source=pdf_text observed=2026-08-11T21:30:05.637374Z digest=sha256:078a46f4c1220854a0e98a18394aceb4e7ca08629dabd53627dde4c7a62534c3

Observation 075eae38-d586-48aa-abda-8afc9d5d6712 · outbound

This paper cites 3D Gaussian Splatting for real-time radi- ance field rendering.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction 3D Gaussian Splatting for real-time radi- ance field rendering

Reference 21

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source=pdf_text observed=2026-08-11T21:30:05.641977Z digest=sha256:0ed7ee81f71aaa439a5aad0bc5a6bd8e3238f955f99c3801d235b3169ad7191a

Observation 1f66a639-30a0-4ee8-aa4f-af0eee3ca8ca · outbound

This paper cites Kingma and Jimmy Ba.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Kingma and Jimmy Ba

Reference 22

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source=pdf_text observed=2026-08-11T21:30:05.646844Z digest=sha256:bbb5780ecc2171c0fa48a0d94849dbeb547542f2e6ec6aec49f6bf01a409f790

Observation e522331a-c3c1-4ce5-b9c5-94c520c526eb · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Doll´ar, and Ross Girshick.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Berg, Wan-Yen Lo, Piotr Doll´ar, and Ross Girshick

Reference 23

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source=pdf_text observed=2026-08-11T21:30:05.651688Z digest=sha256:ce1612ba7ecc78eb168ca1e8b267f54dc6c275f70aa7a58915df2ee31a4e60c5

Observation bb8b5609-f799-40c4-b4c7-496e72e2a0a4 · outbound

This paper cites DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting

Reference 24

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source=pdf_text observed=2026-08-11T21:30:05.656806Z digest=sha256:f9a6a505dd7906361f851dd9eb7d26130e13a48074ebf68450accbef6ae2d736

Observation 80af5a70-2e43-4537-bc03-caf0692013d4 · outbound

This paper cites Canonical surface mapping via geometric cycle consistency.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Canonical surface mapping via geometric cycle consistency

Reference 25

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source=pdf_text observed=2026-08-11T21:30:05.661572Z digest=sha256:162b26f841a8e67246ac46d8072162269b6111d10904886e7f4f392efd969060

Observation 4d3d2bf2-b822-4afb-bffe-f259b8f63350 · outbound

This paper cites Fouhey, and Shub- ham Tulsiani.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Fouhey, and Shub- ham Tulsiani

Reference 26

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source=pdf_text observed=2026-08-11T21:30:05.666314Z digest=sha256:1d320d9fe0ba30ac77439afe8275538dd372d2c347643e29dee0c8c3c714f66e

Observation 91f203e8-026b-4110-bb8e-b9e9efaa49ec · outbound

This paper cites Monocular dense 3D reconstruction of a complex dynamic scene from two perspective frames.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Monocular dense 3D reconstruction of a complex dynamic scene from two perspective frames

Reference 27

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source=pdf_text observed=2026-08-11T21:30:05.670534Z digest=sha256:3a4b80a8602ffbdbf772c25c3f1ef54bb29ceac0c2ade2cb89df9e7ddc356dd5

Observation 307b30a0-ae8a-4ba8-9d5c-777d0a71cbcb · outbound

This paper cites MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds

Reference 28

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source=pdf_text observed=2026-08-11T21:30:05.675302Z digest=sha256:4273b86ae5fe073a76c360337ce0666f2a99668d572fe26b84cbd23bfd73167a

Observation 91ec85dd-9e91-42aa-a083-175a5499e18e · outbound

This paper cites Dessie: Disentanglement for Articulated 3D Horse Shape and Pose Estimation from Images.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Dessie: Disentanglement for Articulated 3D Horse Shape and Pose Estimation from Images

Reference 29

Resolution
verified exact
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.679766Z digest=sha256:0fe6a8e824d6a5b0123e3a1cee37ac120df1cd90e75066efbd6d01457d529077

Observation 0df55650-a875-4625-8cf0-c672b5e8cfec · outbound

This paper cites Self-supervised single-view 3D reconstruction via semantic consistency.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Self-supervised single-view 3D reconstruction via semantic consistency

Reference 30

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.684467Z digest=sha256:9a655c7234c770277ee06d5f0fc2fc07fc20914bce074106d765cc36a4fe28f4

Observation ca9b91f9-0559-4682-897d-601c1a0cba0e · outbound

This paper cites Neural scene flow fields for space-time view synthesis of dynamic scenes.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Neural scene flow fields for space-time view synthesis of dynamic scenes

Reference 31

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Observation 1ad0ca37-3faf-40f7-9526-4eb95b25def2 · outbound

This paper cites DynIBaR: Neural dynamic image-based rendering.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction DynIBaR: Neural dynamic image-based rendering

Reference 32

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source=pdf_text observed=2026-08-11T21:30:05.694659Z digest=sha256:ca8c728d767681ff72387e114daf2fe337bde54127692aec2f79465ef4abbfae

Observation 34c35381-b232-4c90-ac47-d4dfc2b8ad68 · outbound

This paper cites Learning the 3D fauna of the Web.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Learning the 3D fauna of the Web

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.239854Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.699253Z digest=sha256:27d6ea1fba19f1da702eeb4d5aed9903257d0ce85f18b61e0927b23552ace3b5

Observation a825653a-fd6a-4f4e-a934-573b7fa3c0e3 · outbound

This paper cites GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction GauFRe: Gaussian Deformation Fields for Real-time Dynamic Novel View Synthesis

Reference 34

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source=pdf_text observed=2026-08-11T21:30:05.703952Z digest=sha256:f88311cd02c0ae0e8fa7a62a447d482ef2c03d8be6ce9f32e3771959a3fb1a5c

Observation 2c9b6073-d4c9-4988-8d4a-69bfa2bca7b3 · outbound

This paper cites Im4d: High-fidelity and real- time novel view synthesis for dynamic scenes.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Im4d: High-fidelity and real- time novel view synthesis for dynamic scenes

Reference 35

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verified fuzzy
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.713608Z digest=sha256:aa892d514d83f966deb3ba30b2c438f87944c84d34cdebdaea872763d83a4547

Observation 2e044ce4-1599-4568-acb8-11602a018e3a · outbound

This paper cites Gaussian- flow: 4d reconstruction with dynamic 3d gaussian particle.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Gaussian- flow: 4d reconstruction with dynamic 3d gaussian particle

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.213630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.718085Z digest=sha256:dfe488b821d3161d5e26d3d55fe0f331723f2ec80cc9f77268d10823f48207f8

Observation d3ef58ff-e21e-4c14-967b-b7c10e920959 · outbound

This paper cites Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Align your gaussians: Text-to-4d with dynamic 3d gaussians and composed diffusion models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.199107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.723387Z digest=sha256:1f7a1cd95cfe8678046600ff92bf300fcda821617bd720b55855284be1063e05

Observation 3baede71-c681-49a7-b6c1-77a62f4b8701 · outbound

This paper cites Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:05.727941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.727941Z digest=sha256:3fea1bfc5d4c5b61ab5cdf44ef781478dfd5eadb04816a1aa3077ff300ed02f5

Observation f7348355-7250-4bc1-98de-f3fc1df129b7 · outbound

This paper cites Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:05.731816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.731816Z digest=sha256:2e6660fedbfb637e971e947f0b8b1645a616cb2241db192bb63995f2270a6cbb

Observation 376ef9a6-cf3e-4011-9d96-0a1ab6095f96 · outbound

This paper cites Saragih, Gabriel Schwartz, Andreas M.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Saragih, Gabriel Schwartz, Andreas M

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.187095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.735991Z digest=sha256:9f0b97da12a675f767cfdf097c77d316790e22c62fab84367ad22779d17818cb

Observation 473aa691-9ff5-40c8-8b92-ed430d109784 · outbound

This paper cites an unresolved cited work.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:30:07.174732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.741044Z digest=sha256:6940ffb44571d05908d528b171ba09a1f5b64992dc191f1e132fe0ec6bb01aa1

Observation a44de403-38ee-4e26-bca0-0f3d9a25a42d · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Srinivasan, Matthew Tancik, Jonathan T

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.163003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.745766Z digest=sha256:bb8f66777cefae892585d0bf3ea5deccadeb42e7f220bb271fc97a780eec78b3

Observation ffb802bc-4e19-4d2c-8453-8cda23fccdfa · outbound

This paper cites Newcombe, Dieter Fox, and Steven M.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Newcombe, Dieter Fox, and Steven M

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.151164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.750224Z digest=sha256:bbf6697ef92f6179299dd5cf0523b3bcd3910da8e7676121a838d4f4399ccc9f

Observation 16983e55-e7a0-4977-8cd2-15dc5e69daac · outbound

This paper cites Capturing the geometry of object categories from video supervision.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Capturing the geometry of object categories from video supervision

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.140936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.754878Z digest=sha256:17311a2be4511cabc2af5ab3d87990abfc90502918f9d638eba64ef5c011e123

Observation ac966e65-5dd7-4409-9e22-cbe311f5fe7c · outbound

This paper cites an unresolved cited work.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:30:07.128562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.759029Z digest=sha256:4eb22ed605efa9b2fd7b9903b824de6058d9c4c6bfa482fe1aed498e98bbeff1

Observation 31b5fda3-8a3f-422a-8f51-8fd4dfed3849 · outbound

This paper cites Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.116880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.763414Z digest=sha256:c82963251cc03fad538b20442cb6feec33f52a9039bf639fa4141e83907458a6

Observation 1edd3395-4dc7-4922-ac60-cd3958906d1f · outbound

This paper cites D-NeRF: Neural radiance fields for dynamic scenes.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction D-NeRF: Neural radiance fields for dynamic scenes

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.103776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.768725Z digest=sha256:643ad02747050937792209eaaa7359f8c9abe2f7cd2ab7968aac42504b1877fd

Observation 9d1e24f7-3135-4570-a4a9-256f5b8af78c · outbound

This paper cites L4GM: Large 4D Gaussian Reconstruction Model.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction L4GM: Large 4D Gaussian Reconstruction Model

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:05.773518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.773518Z digest=sha256:32a6b235d468cff838a7e45ad7adff8ff3efc242f4ef0162d1fa9bab908cb366

Observation 7e419a53-668e-4ad0-8282-9e18625f17a3 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction High-resolution image synthesis with latent diffusion models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.090641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.778743Z digest=sha256:b68ddf12a7c11b0bdbbd5698ff52eb5a62f477b89dcabc7e23dda3f5d2433893

Observation b379cde5-1a64-4ddd-8e4d-4ea58574747f · outbound

This paper cites Barc: Learning to regress 3d dog shape from images by exploiting breed information.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Barc: Learning to regress 3d dog shape from images by exploiting breed information

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.078706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.783265Z digest=sha256:94bd835d387e7060fd29ccecb60d9d4c634c74159b06897d6483cdf711e4dd68

Observation ccee1e4f-448a-4fc3-8e70-8b3a11fd3ea0 · outbound

This paper cites Video pop-up: Monocular 3D reconstruction of dynamic scenes.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Video pop-up: Monocular 3D reconstruction of dynamic scenes

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.067135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.787084Z digest=sha256:ccd4b222515b976e64f0ef42e7e37f42576202124d025362fa6aa333bf53fc11

Observation 01f782f7-3c90-4b67-9fbc-1e2f3b3d6d85 · outbound

This paper cites Neural Groundplans: Persistent Neural Scene Representations from a Single Image.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Neural Groundplans: Persistent Neural Scene Representations from a Single Image

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T21:30:06.324563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.790545Z digest=sha256:fff59feb36ff000f34c789ab40e1f3fe422e2bdfaa831c06e8b6f9a754c330a1

Observation 4701a527-8b10-4737-bf50-66dd42302387 · outbound

This paper cites Learning dynamic facial radiance fields for few-shot talking head synthesis.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Learning dynamic facial radiance fields for few-shot talking head synthesis

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.054743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.794446Z digest=sha256:7c38e96d71a4445e67923804e5b315aa7fe4421cd76a15e767b51cd40404fb3f

Observation 10b4c1c4-ee30-4c5b-b89b-e7ae3d965922 · outbound

This paper cites NeRF- Player: A streamable dynamic scene representation with de- composed neural radiance fields.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction NeRF- Player: A streamable dynamic scene representation with de- composed neural radiance fields

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.041319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.798436Z digest=sha256:23308b70525c93940c2521e1f926b83fbab03eabcc4e0f3566f12b20820459c1

Observation f78b1b87-8ef7-4da2-9fd1-2e1433f13fc3 · outbound

This paper cites Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.028115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.802824Z digest=sha256:3f6589d1989975bb4a2fd05a13dbf10880ad08b686a757056adf3b846a7e6fe6

Observation 89c0b094-4a49-4ab5-a8e3-b0668800163a · outbound

This paper cites Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:05.807272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.807272Z digest=sha256:a09404d7c1938a2bb7f3cecbbe8729cdaeb5ae9f8164b3525942411495687f10

Observation f18d7619-2f0a-4659-bb71-7d40082e0998 · outbound

This paper cites Unsuper- vised learning of object frames by dense equivariant image labelling.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Unsuper- vised learning of object frames by dense equivariant image labelling

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:07.014760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.812408Z digest=sha256:538268a11a0f1343322d06bd231a4bc8fdd1b48ed3bd4da5bc2a115f8c915eff

Observation b245b587-f751-42c3-a660-7d91f6b085e2 · outbound

This paper cites Unsu- pervised learning of object landmarks by factorized spatial embeddings.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Unsu- pervised learning of object landmarks by factorized spatial embeddings

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.998793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.818000Z digest=sha256:b1ad90dd180aaa6d45128458ca521b395ec849bd0dcbcea7e37ec9efb46eb585

Observation 99a571b1-85a2-45c9-9efc-ca847906188b · outbound

This paper cites Modelling and unsupervised learning of symmetric deformable object categories.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Modelling and unsupervised learning of symmetric deformable object categories

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.986432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.822745Z digest=sha256:003e60bcbeb0b040ca37a269a63f53d73a84e0752456cf3a83a068d638da0546

Observation a1fcb597-ed00-4d1c-ae5b-fb93ad53bdb7 · outbound

This paper cites an unresolved cited work.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:30:06.970723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.826769Z digest=sha256:fb13132d8d0f37693ab6439d4743f329cb8248e974e0b0faaa105f0ea532b9eb

Observation 204c3fe3-c743-4f9b-9a56-c64226d4580b · outbound

This paper cites MorpheuS: Neural Dynamic 360{\deg} Surface Reconstruction from Monocular RGB-D Video.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction MorpheuS: Neural Dynamic 360{\deg} Surface Reconstruction from Monocular RGB-D Video

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:30:06.262974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.831005Z digest=sha256:a37ab8c226d2211ccfbaa1abfc6ad33e38a73538ad931a49ea88bebaefc33cda

Observation dd03932d-c46b-47f1-8091-139696476413 · outbound

This paper cites PoseDiffusion: solving pose estimation via diffusion-aided bundle adjustment.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction PoseDiffusion: solving pose estimation via diffusion-aided bundle adjustment

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.954482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.836394Z digest=sha256:29e0c944ff86bcb669c35c0dd88fc0da53283fab1b3c5f7386e2fa623ffce591

Observation 2ea4ece3-9004-49ce-8ecc-66a1ef57af78 · outbound

This paper cites VGGSfM: visual geometry grounded deep structure from motion.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction VGGSfM: visual geometry grounded deep structure from motion

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.938083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.840545Z digest=sha256:8b04f09c6edac9a0cdfbb234855a008805f29d65d152ab0c81d18f3e4dc93a09

Observation 878c87c7-a336-4da6-9c81-54e8d89ab00e · outbound

This paper cites Fourier PlenOctrees for dynamic radiance field rendering in real-time.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Fourier PlenOctrees for dynamic radiance field rendering in real-time

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.915976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.844946Z digest=sha256:fa077b9eeba716749d247e7baa279ffd703fea5889bf7530c0fe164bbe29ce51

Observation 62479468-f878-40b6-a6e7-cb5077dea2dc · outbound

This paper cites Shape of motion: 4D reconstruc- tion from a single video.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Shape of motion: 4D reconstruc- tion from a single video

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:05.849072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.849072Z digest=sha256:ef9ff61a38df9872dff659b89c839d7af92e5758e0d9db652547a73fd916a50d

Observation ba70ed13-7913-4990-acd2-29ada55f1b93 · outbound

This paper cites DUSt3R: Geometric 3D vision made easy.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction DUSt3R: Geometric 3D vision made easy

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.901936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.854203Z digest=sha256:3c776d215797114b09cfc2d26ac586b7ba87ee5cb631172ed7465873ed606ecf

Observation c7bf355d-d503-49d5-a727-facbadc5e4af · outbound

This paper cites MonoRec: Semi-supervised dense reconstruction in dynamic environments from a sin- gle moving camera.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction MonoRec: Semi-supervised dense reconstruction in dynamic environments from a sin- gle moving camera

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.887353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.858113Z digest=sha256:746f8787c5065f09ae2ed5eeb144a852d41841c92a966614788698cd744ac555

Observation 653ef0ad-78c4-441d-ae64-90ed2307c836 · outbound

This paper cites 4D gaussian splatting for real-time dynamic scene rendering.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction 4D gaussian splatting for real-time dynamic scene rendering

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.874337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.863301Z digest=sha256:cdf35756cc0ef1d3cfd0313823a4373c51fbd493557661c1ab647ff91f82d1e0

Observation 6ae86424-1968-402e-b6bd-a4d2ec465235 · outbound

This paper cites Un- supervised learning of probably symmetric deformable 3D objects from images in the wild.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Un- supervised learning of probably symmetric deformable 3D objects from images in the wild

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.860713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.867103Z digest=sha256:e7a91bd63f64f2d06bc3f73071f7aea55bf68a5de82645e4ed00e5cf3bd50e65

Observation f141ea3f-37b0-46a2-9f1c-c8b0371c1d1a · outbound

This paper cites Magicpony: Learning articulated 3d animals in the wild.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Magicpony: Learning articulated 3d animals in the wild

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.846727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.871188Z digest=sha256:69333733bc1ac9f3bbcfd8d72691b2816fcadf96cd59320f35e9d8ded5dc1a4c

Observation 6f93f54a-8124-4089-b96a-a61fde9c1830 · outbound

This paper cites DOVE: Learning deformable 3D objects by watching videos.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction DOVE: Learning deformable 3D objects by watching videos

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.833360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.875228Z digest=sha256:8a76aeee666007ca1e092210294d2693e92ce104654a5521a90d7ed23e959b7c

Observation 0f9ade3a-561b-4f0d-b2e9-e2bb03fdab5c · outbound

This paper cites MagicPony: Learning articulated 3D animals in the wild.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction MagicPony: Learning articulated 3D animals in the wild

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.819757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.879316Z digest=sha256:3d806c8cdb8582b8a5052d2243d9beccd7a9eb3c6a7b762b71e4657fe7944c42

Observation 41b11998-b7a4-40f7-95ac-3903a817a21f · outbound

This paper cites Structured 3D Latents for Scalable and Versatile 3D Generation.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Structured 3D Latents for Scalable and Versatile 3D Generation

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:05.883494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.883494Z digest=sha256:41e40f10e20265c89958bfa5b4b6d5b8cf18759c13516b3ef7ebfbb359297e77

Observation b47f0ada-eea2-4791-b603-15265e243d81 · outbound

This paper cites PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:05.887914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.887914Z digest=sha256:94a646a70d987bca32338890122c65d5a3a8c7e814cafeacf360675280b1495d

Observation 5699e617-1ccb-496d-88cd-900e6173f381 · outbound

This paper cites Street gaus- sians for modeling dynamic urban scenes.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Street gaus- sians for modeling dynamic urban scenes

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.807171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.893170Z digest=sha256:85ac518614096eef43438ccd3636dcc926f530e2ce7d651a5c6c780bc4aabcd6

Observation 6121e307-9e05-485a-a896-c9f872ad9552 · outbound

This paper cites Freeman, and Ce Liu.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Freeman, and Ce Liu

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.793704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.898011Z digest=sha256:bd182a73cab06671da5c578789ccd1bf726e80d4415c2ad3aa4ecf00b4482959

Observation be396791-1295-486b-9dfa-89e69ede1073 · outbound

This paper cites BANMo: Building ani- matable 3d neural models from many casual videos.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction BANMo: Building ani- matable 3d neural models from many casual videos

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.781657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.901925Z digest=sha256:58658576d978d090185312d6e802dd66db27fcf87b235e560762efd94ac5717f

Observation d4e4ee95-7b6d-4f78-bafe-6de7e98843a0 · outbound

This paper cites Dinesh Reddy, and Deva Ramanan.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Dinesh Reddy, and Deva Ramanan

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.769211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.906029Z digest=sha256:60627d78d27a62a00b53205b005e65d837f3edfdd15dcefcdacb2be3ade9bfb9

Observation bf3becd7-1e85-4b4c-9bac-c957e13b3577 · outbound

This paper cites Depth Anything V2.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Depth Anything V2

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:05.910498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.910498Z digest=sha256:1ecd4e08d17a2ccb5111636375df32b0c0d7fa708223cf43920821c1800aa906

Observation 1aa2a2c9-794c-475a-b0f7-84366c82e005 · outbound

This paper cites Real-time photorealistic dynamic scene representation and rendering with 4d gaussian splatting.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Real-time photorealistic dynamic scene representation and rendering with 4d gaussian splatting

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.757809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.915884Z digest=sha256:940357891b4fb8b721cca2dbe6fbc5808434a13835ad5df1faf4243251f24381

Observation 8c805d22-9b63-4795-a5ab-088fac325b03 · outbound

This paper cites LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:05.920736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.920736Z digest=sha256:5b704c26371a883e518946a7383ab29727bdbb746ba408647c5a6b17a9b10e5b

Observation d4d2fff8-613c-4d04-bbfd-9a558882771a · outbound

This paper cites ARTIC3D: Learning robust articulated 3D shapes from noisy web image collections.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction ARTIC3D: Learning robust articulated 3D shapes from noisy web image collections

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.744836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.926795Z digest=sha256:d4296a30d1e2b1a74287fc188739fcc598e781c4b48c66ccb8224f81a59421fb

Observation a9ad2c58-ae27-4aed-8682-22cbd6839a28 · outbound

This paper cites 4DGen: Grounded 4D content generation with spatial-temporal consistency.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction 4DGen: Grounded 4D content generation with spatial-temporal consistency

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.731921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.932410Z digest=sha256:a7eba4e0b85e23ee964db9d295093264409e373bc35399df8826f24b4263dafa

Observation ba92b8f8-6623-47b6-b7c5-0385689f01ad · outbound

This paper cites Novel view synthesis of dynamic scenes with globally coherent depths from a monocular camera.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Novel view synthesis of dynamic scenes with globally coherent depths from a monocular camera

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.719317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.937039Z digest=sha256:f58ee77a186fd26dc2bb1c0d6a7fbde31a440f56ebf1e68233ec8b80816dd9ff

Observation 9414e07f-9f14-473a-ae95-9130d6c2ed95 · outbound

This paper cites EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:05.941760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.941760Z digest=sha256:495b220a1bd31f2bdec2c09d9d6aaabff92dd66273384e88685f6296a07c3e41

Observation 246894b5-28b6-4aed-a2ec-9271e5b36cc4 · outbound

This paper cites A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:05.946845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.946845Z digest=sha256:1cf363355c235706b4bb27b1b1502c9af40f44810149326746e895854e4d840e

Observation 0efe4073-e9bc-4595-9e41-05c798142289 · outbound

This paper cites MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:05.951990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.951990Z digest=sha256:136fdbb62b0d2978cc33b4b2d70d1f1b81d5bf3f7ec5db37675e9fab911d71a5

Observation 06e74f13-2e58-4d10-a760-3fcc7353a5d8 · outbound

This paper cites Animate124: Animating One Image to 4D Dynamic Scene.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Animate124: Animating One Image to 4D Dynamic Scene

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-11T21:30:05.956614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:30:05.956614Z digest=sha256:0ef1dcf546fb127b64e7c8b16713eabad62bf9de8e3bc1a959cf3e781fdad2ab

Observation 0a020917-6c73-453c-ba0a-c35b059a880c · outbound

This paper cites Jacobs, and Michael J.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Jacobs, and Michael J

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.705420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.960748Z digest=sha256:0931f08d1fec7770ebe222cf579eb11547d0ea69e2ff0c97950fbdd95f16e180

Observation 3384b11f-4642-4586-bc7a-dff91f335a10 · outbound

This paper cites Lions and tigers and bears: Capturing non-rigid, 3d, articulated shape from images.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Lions and tigers and bears: Capturing non-rigid, 3d, articulated shape from images

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.690436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.965174Z digest=sha256:21582c143d04733909385f66c1a43340cc9b715c1216bf514e291a48461a66e7

Observation 7c18e582-cf6d-4ad4-b834-ca9b861eb66b · outbound

This paper cites Varen: Very accurate and realistic equine network.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Varen: Very accurate and realistic equine network

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.677806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.969193Z digest=sha256:2bb0ec3a47de6c0f0efcf31bae15f7e36726a5f68848dc2ffd0f74b6ea427a34

Observation 730ab4ac-b92c-4c4b-9b61-aa1b38da3b85 · outbound

This paper cites an unresolved cited work.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:30:06.661598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.974905Z digest=sha256:c4646de0ac44d5db73d4e775602f08fd055323b00144388141429bb0b0c0ddb0

Observation 2492e498-55b4-4d4e-9ad9-899d1e144d99 · outbound

This paper cites an unresolved cited work.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:30:06.647097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.979534Z digest=sha256:fd50d5315c834592ea73de004122d41861405b808afb475ca5e8e94beb731e47

Observation dd1f25ae-580a-4db5-abbb-b5328d658973 · outbound

This paper cites Evaluation protocol For a given generated point cloud, the following evaluation steps are performed:.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Evaluation protocol For a given generated point cloud, the following evaluation steps are performed:

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.632419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.983640Z digest=sha256:99b6bfbd506a64316c52b8835229a360b39c97786ab5e6892908d6465464f0b4

Observation 33e1f5b2-797f-45d6-bbd5-14cd3aae4b6d · outbound

This paper cites an unresolved cited work.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:30:06.615189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.988059Z digest=sha256:d262e834c8e821c591e8eea87858cd6eb264714dc18315f1b75b43fe8b4c0aea

Observation 1ade4770-b8c1-4309-8010-b1f608424e2d · outbound

This paper cites an unresolved cited work.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:30:06.601381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.992235Z digest=sha256:213551eafd52b110b5b493db444b1dddeadbbff5b5b00e42611406910297c8f3

Observation f57b3ee0-a499-480b-97e2-ad04dc9b0840 · outbound

This paper cites Evaluation on Animodel.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Evaluation on Animodel

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.583714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:05.996630Z digest=sha256:bb298526e0394ea2272f2786a3909ee8d6e5b84221901f51ce2d14f7124491ab

Observation c62aa090-9ea0-4e68-91a1-a4bd578ec50c · outbound

This paper cites The process runs for a maxi- mum of 200 steps or until convergence, using the MSE bidirectional Chamfer distance as the objective function.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction The process runs for a maxi- mum of 200 steps or until convergence, using the MSE bidirectional Chamfer distance as the objective function

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.567140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:06.002410Z digest=sha256:734780c88726306606c8926c18e395f6faf0829675ab352d3c148ce80fce2d0c

Observation 2ac3fbbd-f92c-4e95-8e2b-7406ec41e7f2 · outbound

This paper cites Chamfer distance performance is evaluated by providing scale, rotation, and translation degrees of freedom to the transformation estimation.

DualPM: Dual Posed-Canonical Point Maps for 3D Shape and Pose Reconstruction Chamfer distance performance is evaluated by providing scale, rotation, and translation degrees of freedom to the transformation estimation

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:30:06.546339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T21:30:06.007083Z digest=sha256:2a3a2944c3cc4ef95a69ef95774521e9842d21d52db19954b7c8402beb4397cf

Pith citing papers

No inbound Pith citation observations are available.