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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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:ea1452203857cb7ec4ebc64bdc72bbcfbc079dbf0d3a2c861948088545173bc1

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:a8693115600ebd41d5ebbfba85236585fd53df92bedefed0e9ef840ac0368b4e

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=sha256:30eade890d8f83c4d1d3ce7136621635111e3fadba1038e26d4f9c96094e0513

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=sha256:4bb5b7d136a4aa8513679469d78b461a2867ba8bf7353b37b7e0fa623ee75b3c

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:db0ecc51f9e29455cfa67eb305a6b8042bff3c08c8b6951ec977949493a6e3ba

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:aff715db6da5bfeb20163837b80e3309da18cef3b42b8c054b85a065ff5454e4

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=sha256:47a2c4a61c252fea1496c1fda3e1b9c13eba81a820a4ae67aa93899357a0a0d8

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:e26821abc73f6fdf61a9ee28aa74ee2ec71fc7fec2a9ebc8458d1d16a815bc54

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=sha256:1551efeb490df78933ec2bb96574d2a64c2d1115f706e0f6a7481f91be96ab93

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:eed5ace3ec4ba4a4fcee6ce11de0ff163a323c019e316bded946d156ff021c09

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:d3523ef1d2a106f94044416af674d8270325107176fd2b478f2ca498a57eee0d

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=sha256:6437c96995d93aeb1539cb8a33d3e734ec54b665307b11575d8106753e24677b

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=sha256:661570ef856f1a85c05e6c34fca461ac5fe61d357a6eafbc3741904a094dbce6

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=sha256:94a3d7136bca4b56ffce2a92a79f1c7a23e0b334ed9fb908948445000b09dfcc

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=sha256:7154d98c1940b99d889337fac14058354aba0ca36f0dc0713c8a1a0078ba49d9

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=sha256:818980d370f7f79c32f1d3ae0afff1bb3410ad3315cc43185e41b6d9d22d50f3

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:a270fa0855426bdbc5dba4bd22c748c6d2d87492d6e7ab4bdf8b47419d0c79dd

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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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:c22aa427813985134ea0725ec79299ffc3940f31458d0982821043d0b2d57c33

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:eff2ace400ba55aa89b9ded79ce2b0cb1467d41e104a9f40fd941e56dc16b313

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:bd788efe36053ce8d18d0377927d1835c86a4ea9b76b299954f9dae532dc657c

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=sha256:042d7a0e1c21e590b8022a9a44dc620ba54c64787ce16e2fbc5d021782612ee3

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=sha256:66d29b71c0fa50f76e884b6ccb295372084babf6f9e5904c29e06eac3780726f

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=sha256:6c6c60726d705f855482a067f1f43199dda269880717fed6f9152ca5808330a8

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:c32c7bd9c3e74bf8ca3d97986fa57c22dcc1254e98a9d375bea224a1870c7f7c

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:af0d15af541162d732920c7ba82f914d25cab2bd7388dc933f4d097187054d21

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=sha256:125095f05b5091d8d299b7cc93ec97982980ae181ef5015684da08943c6e7a8e

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
local_arxiv, observed 2026-08-11T21:30:06.401907Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.679766Z digest=sha256:643cf987df7460c127ee2b4800519054da0715b3a6367bd874aa082ba860921f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.684467Z digest=sha256:4f1a95f5d8de84a8f4863c9049b1c15b4cfe0f6f597a6e683d3f482b8a61951f

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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source=pdf_text observed=2026-08-11T21:30:05.689898Z digest=sha256:0f894c18eddb5fdbeb1d60c722eb34b8c1c6a5d2816f2561c3ec343692075aa9

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:d0d38b117f648a38660df8620b82416b1049d7be5ac2edde8cc5ee2221adab9e

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

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

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source=pdf_text observed=2026-08-11T21:30:05.699253Z digest=sha256:4f891b1036deaf463a281e10cf01d0c2690ceb14cf9ca23ac600b79e2b2125f2

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=sha256:4268f9e12a98170cd760576472379f344f09ba7e4fe17e84121de933abe8e2da

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
raw_fallback, observed 2026-08-11T21:30:07.227862Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.713608Z digest=sha256:7eb60298b349a902372da65f744d887fa16f107e29527773b2de3ed88d341e3f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.718085Z digest=sha256:db0fee78af7f6ae42f6e432f9ef12ed064a98feab4424dff994e650c5136a417

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.723387Z digest=sha256:c8bb08b78b7aa85140646a41224c26c048a39097db7b22d9f77df521ffe5afe3

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:bf50dd1c0376fae5a754a0172250a90002dd6028396fa2145d6ae06dfd0f6342

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:bf38ebc418d3320854dff4efb6074cfba3a0566447b4505029ef8d6d77548949

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.735991Z digest=sha256:a376279487c755413e65e5e71cb5ce8c5a05af082f0928cf1861f6f40ecd86ca

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.741044Z digest=sha256:0881f49495dc746170567b7bbe8a3dd8a36a80f9aba05461f7dbc5fc6a44dcee

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.745766Z digest=sha256:cac1e7e4da3dc7d1f649165f4b03e8630cbcf75a2cb93a470ae85338a9b377b3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.750224Z digest=sha256:0b9efcf0c07a0f465386bdb98284e32a21497e5c9c4e2240940b6a79ffb30df7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.754878Z digest=sha256:c9ccd7b9b584371f9bdcd45d0d47747abcbe7ec689ae84ca41280e57649447d6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.759029Z digest=sha256:7f3bbb0a9a63fad177b44ba65324e731e843b79b7313f269a91f5fdf14420591

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.763414Z digest=sha256:d8651c7d0c32de79c1ef94573a50446213e2584e6d55d87a190dabf55487ebb6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.768725Z digest=sha256:42cfc97de65f0f79bcd7a0270133826a38990ca06f1e3038608f54b9444b5074

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:fd956ced2221ae2af8997ab7aa163bb93af5334b46f428fd378f3569f4f88862

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.778743Z digest=sha256:779393f2f9ddb12f7c12270576acc6f89a3e88cee59da4c006660d05da320714

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.783265Z digest=sha256:5f790105a5922a185f43b073a2c6a329a5461c23bdbbdc7ea1fed03d690038c4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.787084Z digest=sha256:f5667c176f5d7ca607018957936fa6f69f938f9a86f3d1254f1ed654dd1c4596

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.790545Z digest=sha256:bf2bf7d2749f26993c7dddc03f149405f82bfc7727876fbb1926ad3eda904ff4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.794446Z digest=sha256:9742c17fee65b65fceaff7af45ee7b13d73aa4db2d1a84cedcd4ecf4daf199af

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.798436Z digest=sha256:66787f71b28262302192d2f24c6c262e233caf41c2d605ffa73f0b1124a7e18f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.802824Z digest=sha256:07018e7ef55c9ff0ab8b8c5707fc93643d8ebc303f72956090cbca0faca31d30

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:bcb7359b0ce2d5b8a5ab0fa1f3005a9a0f813216de7e2a3731b251c4df4ff5ee

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.812408Z digest=sha256:f2860648ab81f159c1b14d9bcb8ff8f8ccc5bb7cd0f4cae7ff5e3c44dcf34696

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.818000Z digest=sha256:e88d91db1de0da1f0a90a41dc87b93063a05246e7f7cbbb7cb4d8dfdf315e552

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.822745Z digest=sha256:0624f3eb8277de2f5fd0dd16a50972bb03ba7efebe22bf846143f07935adcef2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.826769Z digest=sha256:5e1dfa28a0b42fafc2790fe6dc892bf9f5affbb5b038b1b755e9cd5c37112894

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.831005Z digest=sha256:7a6ee6d68ec11cf863026fc62c24e7740af06c52e43c0e564b0f96469810c976

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.836394Z digest=sha256:55d587b374c6a416b12cb9c635edfbb87386f7d601bbe82689510061718c412c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.840545Z digest=sha256:9208bfb895a1198fc6b32129d6cc23e78ebcb428efef07409a15610070d74dfa

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.844946Z digest=sha256:c0ac6a06e3ea87d6fd23ac8dd8e6f03539ac361689557d5752e3bb5ca4ab172d

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=sha256:0fa43b50b10588ed759caa2311452be7cf034185564a41df2bd130eae5738238

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.854203Z digest=sha256:f438a8805e47b5ea7b62e46359f75bdbde2ccfd723569ac0cecce230f9e4ae43

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.858113Z digest=sha256:d647ad97d63b51157eb29a6fbc298ce4df73efc38a0ae06aa6e32c68ca0ce12e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.863301Z digest=sha256:f8864a8b93fda6b993c3beb0a935da3e7019cf113f5ccf2da8ffe0a9826f5ff3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.867103Z digest=sha256:87205bea5c4759d53f5e21bd0d5dc4fd81b6b293f40a08298c15e41cd898ef07

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.871188Z digest=sha256:83f1a3986a022b1b09ed0d7b75d5a65965197366594a92169631c895d691eddc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.875228Z digest=sha256:b5422ac9812812c6ab55af0376406a38c5eff3fff8e30bc37eda78cf01785738

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.879316Z digest=sha256:7574ffda4a80ae161c283ad86c995971da6f9471c0638f20b52c0b33885c5020

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:d114444ed8d0100bfe16ee61016c589f0987aef71b96739cd6fc8e0b18e4e2da

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:c6313d6454dde33f3d762f7480c8c1b1e6b8f123e18e7208a66be9aa75c58bfa

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.893170Z digest=sha256:0c525f55307b0746ee816c652b1030c96375b8ea6966235b796664e3f946b871

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.898011Z digest=sha256:6f8c9d2ffc823a3a6822f6f2846279a3f023ba647a3ca6bc40e897a008f39092

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.901925Z digest=sha256:00c7312d3e915a5c5cad6463b279f0cb66c78c379cb98f5a688eb4cc1bd8fb67

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.906029Z digest=sha256:fe9ab7305e6306355035c47ce6f6c85129923fdb9a3630f6868e5519093c6646

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=sha256:346e7c9442ccc17eadaaac656dd19c4abcfae4b96a3c5af14b8e3a9a7bfd0e0d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.915884Z digest=sha256:553529569c3de7218749e18cb909c57cce356e7044ee33430f30882ee6bdcccb

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:b53fc8009cc557e533d423dc6abaeb5da6cb0c4cb1eab0d238a749bfcc0c94c6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.926795Z digest=sha256:7d5eb57fe1ddc5bb2d39c8355c26417012b8cebf0088c85683428d94f2f235f2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.932410Z digest=sha256:50e7db97422c28c8fb5b9c6aad8ac34d86967801cac7e313d466bf3a4e0a0fff

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.937039Z digest=sha256:5deaf68b10e9aead6fc651205aacc86df0c93e4998f4442d5241226b400a9e60

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=sha256:7201a71d6b4a08f3dc22f8c0f3307ff9d2caa158fb2db9027c099058229f58fe

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=sha256:0d571ba0e8e8b6a91c5c25585ba3dc0a227425f36dd29bfb6d1cbaea8d27b57a

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:be059e4b04a95be74f3120f9654b6437c0825a17199d6a244d71d3b61eb79496

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:f29eaebc5ad4f9e340b12d7258c368376d7e543f40000d8d33b6f6f62358fa75

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.960748Z digest=sha256:a9a7433e715e16a82dea2a3bd9d7630bc8312e724c9d4742a3b4367bec809e0f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.965174Z digest=sha256:515779a3efa47ed5231d2a11866971e070a1a9781369bac1ce6c479ecc50405d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.969193Z digest=sha256:ca68f8214bdbb75a58355fc1d246f554704c5d5ed3a59ec4b5506b4d376700d5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.974905Z digest=sha256:c22ba3cf83980ad5b31493a7794139a43497dbaa3c906d479a9fb4a4911867f8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.979534Z digest=sha256:69327b795477afecbb1522b1acae87a7f665fd54cc604cb74bdef6dd3f7c375c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.983640Z digest=sha256:5d3b58b34294e17bd5646d21462318d0ed4fb1b5978758d23f1091b31a2d74bc

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.988059Z digest=sha256:0fe7665d51c97d51ca47782a439d6963dfb768c7be3974242fb6f2a0de8d77e3

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.992235Z digest=sha256:fd9b1a49f86cc0719ce362d81d404332952c4ddab99c6445719a19cf202ac161

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:05.996630Z digest=sha256:2613084cb6d8874c60ee94e494ad682e1543e09eb9a777e50f3a4d5561d0327e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:06.002410Z digest=sha256:800a337a34825a1ea159b28707ed0f5ec080fada9e099c8afaa59bea24a1cd9e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T21:30:06.007083Z digest=sha256:9b926e25804e25372944e3dad30536f8ae497dd3018019298f23b815f06cb19a

Pith citing papers

No inbound Pith citation observations are available.