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Paper Citation Record · LEDGER

Lifting Motion to the 3D World via 2D Diffusion

As of 17 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 4 inbound Pith citation observations for arXiv:2411.18808.

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

pith.paper-citation-record.v1
2411.18808 v2

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:55:35.012598Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:05:03.680818Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:19:29.271929Z

Reference resolution

67 of 67 outbound references displayed

  • verified exact1
  • verified fuzzy48
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38f047aa-ba0a-41ab-a7fa-05f302c7c697 · outbound

This paper cites CIRCLE: Capture in rich contextual environ- ments.

Lifting Motion to the 3D World via 2D Diffusion CIRCLE: Capture in rich contextual environ- ments

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 12c847ee-68c0-41c6-a328-8410acd350d8 · outbound

This paper cites an unresolved cited work.

Lifting Motion to the 3D World via 2D Diffusion Unresolved cited work

Reference 2

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 34e152bb-48d1-4ef8-af89-08909e21c515 · outbound

This paper cites Exploit- ing spatial-temporal relationships for 3d pose estimation via graph convolutional networks.

Lifting Motion to the 3D World via 2D Diffusion Exploit- ing spatial-temporal relationships for 3d pose estimation via graph convolutional networks

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 37bddccd-cadc-4cf1-b560-546f1f8e3447 · outbound

This paper cites Generative novel view synthesis with 3d-aware diffusion models.

Lifting Motion to the 3D World via 2D Diffusion Generative novel view synthesis with 3d-aware diffusion models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T10:55:34.701827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:55:34.701827Z digest=sha256:dfb520048e129bc761b400af36a533ad9e53b237b36c44a6d73a304fb205908d

Observation 0aecd07f-8d62-47b1-8e7f-a6213487766e · outbound

This paper cites Beyond static features for temporally consistent 3d human pose and shape from a video.

Lifting Motion to the 3D World via 2D Diffusion Beyond static features for temporally consistent 3d human pose and shape from a video

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:36.074682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b016b1fa-558b-4da1-a15b-d3f3780a8f43 · outbound

This paper cites Optimizing network structure for 3d human pose estimation.

Lifting Motion to the 3D World via 2D Diffusion Optimizing network structure for 3d human pose estimation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:36.057502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 22e09a6b-c442-4c7b-ae6b-6d337da4434f · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

Lifting Motion to the 3D World via 2D Diffusion Objaverse: A universe of annotated 3d objects

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T10:55:34.717338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:55:34.717338Z digest=sha256:ea5f78189f403cf987c756013bf5ca10c541b18d4c9fb7452c2328ca36b2cb82

Observation b08de8ec-9258-41f4-9e90-3053454183df · outbound

This paper cites Humans in 4d: Recon- structing and tracking humans with transformers.

Lifting Motion to the 3D World via 2D Diffusion Humans in 4d: Recon- structing and tracking humans with transformers

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:36.020388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 81bc7fc9-f1ed-47f6-929f-5dac5942b576 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Lifting Motion to the 3D World via 2D Diffusion Denoising diffu- sion probabilistic models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T10:55:34.726917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:55:34.726917Z digest=sha256:08bb1bcc10ec942321eb815374a7063252833e9e23c28ef77e920a8fa363989d

Observation c4049136-5bed-47bb-b242-4073ddfc7246 · outbound

This paper cites an unresolved cited work.

Lifting Motion to the 3D World via 2D Diffusion Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:55:35.987809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2dc9bfde-e465-491d-92a9-39d554fe8726 · outbound

This paper cites Scaling up dynamic human-scene interaction modeling.

Lifting Motion to the 3D World via 2D Diffusion Scaling up dynamic human-scene interaction modeling

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 202f6156-7f0b-40c2-8c52-aa4c20592a33 · outbound

This paper cites End-to-end recovery of human shape and pose.

Lifting Motion to the 3D World via 2D Diffusion End-to-end recovery of human shape and pose

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.955044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.739535Z digest=sha256:8d6022acdafaa5ec9d1bfad29af8da0e4e84c14f3f4c153bbaff03feb70e6b99

Observation d6f2be12-5749-4b7a-86b8-2b127e9d63f2 · outbound

This paper cites Learning 3d human dynamics from video.

Lifting Motion to the 3D World via 2D Diffusion Learning 3d human dynamics from video

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.939120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.743700Z digest=sha256:b1bc08f5026836b5c4c8a491f8a5e6516fcbbd6d98d0d23b5d3ba1bff174352b

Observation f660aff8-ca5a-438f-a947-8c5ae47ad46e · outbound

This paper cites Mas: Multi-view ancestral sampling for 3d motion generation using 2d diffusion.

Lifting Motion to the 3D World via 2D Diffusion Mas: Multi-view ancestral sampling for 3d motion generation using 2d diffusion

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.923264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.747792Z digest=sha256:10181602ffe48702bb6feb305b6b1bb7246cf0dcd3214833f38a11cc3636515c

Observation 9c2ff0b8-95b9-4265-9783-186af2f6cc3d · outbound

This paper cites an unresolved cited work.

Lifting Motion to the 3D World via 2D Diffusion Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:55:35.906199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 93667ede-821f-4c12-8832-507cb755b844 · outbound

This paper cites Pare: Part attention regressor for 3d human body estimation.

Lifting Motion to the 3D World via 2D Diffusion Pare: Part attention regressor for 3d human body estimation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.890565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 84e8bd84-22a1-43af-a60a-3cf69d36d960 · outbound

This paper cites Spec: Seeing people in the wild with an estimated camera.

Lifting Motion to the 3D World via 2D Diffusion Spec: Seeing people in the wild with an estimated camera

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.873604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6c57fae0-a971-48f7-8c38-cbcfab4d6a46 · outbound

This paper cites Pace: Human and motion estimation from in-the-wild videos.

Lifting Motion to the 3D World via 2D Diffusion Pace: Human and motion estimation from in-the-wild videos

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.854482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3cf1946d-7531-4b43-bfdc-3c89f07afa8e · outbound

This paper cites Learning to reconstruct 3d human pose and shape via model-fitting in the loop.

Lifting Motion to the 3D World via 2D Diffusion Learning to reconstruct 3d human pose and shape via model-fitting in the loop

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.834582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 646f1be1-06a8-4642-ad27-8675930e3c54 · outbound

This paper cites Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control.

Lifting Motion to the 3D World via 2D Diffusion Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T10:55:34.776473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:55:34.776473Z digest=sha256:9cb400796961f7c5eba0469c6d1e1c7382771459b039b49d00d718e5ca6a02ba

Observation f2990ddc-b28b-47b5-83d9-01ec6687b2d8 · outbound

This paper cites Learning to Generate Diverse Dance Motions with Transformer.

Lifting Motion to the 3D World via 2D Diffusion Learning to Generate Diverse Dance Motions with Transformer

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T10:55:34.781404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:55:34.781404Z digest=sha256:3cfe7fa19def363618ca72d9a45f8fa26702f77f94d2868d8838846162d84fb0

Observation 219eb8d3-e54f-44e2-a58f-50df0653d927 · outbound

This paper cites Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation.

Lifting Motion to the 3D World via 2D Diffusion Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.818597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.786937Z digest=sha256:82545ffbdaa2c3d3e786969426de89dede65c9aa935e1f5e95351e81da591202

Observation cc7506b6-f86b-4d95-8c06-0aff561fbdec · outbound

This paper cites Niki: Neural inverse kinematics with invertible neural networks for 3d human pose and shape estimation.

Lifting Motion to the 3D World via 2D Diffusion Niki: Neural inverse kinematics with invertible neural networks for 3d human pose and shape estimation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.801472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cf6c1a30-b7b9-4d7d-83b7-b23c1e301acd · outbound

This paper cites Object motion guided human motion synthesis.

Lifting Motion to the 3D World via 2D Diffusion Object motion guided human motion synthesis

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.785019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.799968Z digest=sha256:3446a60be76bcdbd820c4f16ec4306be5cdcbdd7c6d7dfbc4f9dae9c39add32f

Observation a79f514d-9791-4f2c-8ca1-cb1b5fc8856c · outbound

This paper cites Ai choreographer: Music conditioned 3d dance generation with aist++.

Lifting Motion to the 3D World via 2D Diffusion Ai choreographer: Music conditioned 3d dance generation with aist++

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.770010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.804941Z digest=sha256:d1ead6956fc4736eeada0b516f42d736b69c5b24dac51b761f7f2275fb884e27

Observation 7a0de7b9-eab5-4dc1-90fe-a712b0fc7969 · outbound

This paper cites Mhformer: Multi-hypothesis transformer for 3d human pose estimation.

Lifting Motion to the 3D World via 2D Diffusion Mhformer: Multi-hypothesis transformer for 3d human pose estimation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.755407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9072b0c9-837b-4d70-a8e2-ce45851a3944 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

Lifting Motion to the 3D World via 2D Diffusion Zero-1-to-3: Zero-shot one image to 3d object

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.740743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.814876Z digest=sha256:8a635334930933d4e182ad5ff50889cd5a211ad8e5a67d0a1de9216b93bca080

Observation 824d6659-f159-464c-b0bb-d514593db854 · outbound

This paper cites SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.

Lifting Motion to the 3D World via 2D Diffusion SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T10:55:34.819830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:55:34.819830Z digest=sha256:32c741eb3848a1f7bf62d7544b0b03e91f4995e2bc56b08001cca7fc776986ef

Observation 1eded9d2-14dd-418c-933e-1bef3e8d704a · outbound

This paper cites Wonder3d: Single im- age to 3d using cross-domain diffusion.

Lifting Motion to the 3D World via 2D Diffusion Wonder3d: Single im- age to 3d using cross-domain diffusion

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.722948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.825804Z digest=sha256:3e7455eeb563b629003fc8917e0c02a1bc63482a37083ef7ac1679778a23dcc8

Observation ef5d8a84-f40d-484a-afa6-ae1b45567dc0 · outbound

This paper cites Smpl: A skinned multi- person linear model.

Lifting Motion to the 3D World via 2D Diffusion Smpl: A skinned multi- person linear model

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.704230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.831189Z digest=sha256:8dfee6cd9f8eedca327b9bfddc49ca184b4762d35e3c81dea6d21bb1c3fe1e23

Observation 58aaa349-94e2-424e-8fc7-703b7ff6e2c5 · outbound

This paper cites 3d human motion estimation via motion compression and refine- ment.

Lifting Motion to the 3D World via 2D Diffusion 3d human motion estimation via motion compression and refine- ment

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.687532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.836157Z digest=sha256:344aacd775fc69a935a251bc944ad54072b7b7b5757783de1f7366fe11da164c

Observation a8e27cbe-329b-49f6-9d66-579e480fda33 · outbound

This paper cites AMASS: Archive of motion capture as surface shapes.

Lifting Motion to the 3D World via 2D Diffusion AMASS: Archive of motion capture as surface shapes

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.670506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.840885Z digest=sha256:1def242224f02430fcb15685849f773e57a6b6cb93ccbdb9744d0898ab438f36

Observation 56d1ac18-e31a-4e4e-93f1-3aeeca011763 · outbound

This paper cites A simple yet effective baseline for 3d human pose estimation.

Lifting Motion to the 3D World via 2D Diffusion A simple yet effective baseline for 3d human pose estimation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.655109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.845635Z digest=sha256:10356abba3c35667a24df56bb06d662fb4c022a57d0ed1a4e17aa91dd9fcf765

Observation 39d20c0d-5537-43e7-9f18-188dea01df0e · outbound

This paper cites Monocular 3d human pose estimation in the wild using im- proved cnn supervision.

Lifting Motion to the 3D World via 2D Diffusion Monocular 3d human pose estimation in the wild using im- proved cnn supervision

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.639650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.850491Z digest=sha256:cf024587a6a66d1b0a621aadd6b7d85037ab7bb2a653295b7bfec43d0e6e02d6

Observation 1d4746b7-83e2-4607-b61f-b98c614e5453 · outbound

This paper cites an unresolved cited work.

Lifting Motion to the 3D World via 2D Diffusion Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T10:55:34.855344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:55:34.855344Z digest=sha256:62527e43ac01c820e141199a72a45e1f7172ae2e042ad50420c615f59bee006c

Observation 4100beab-9e66-429a-81d8-b8676028b996 · outbound

This paper cites an unresolved cited work.

Lifting Motion to the 3D World via 2D Diffusion Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:55:35.614285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.860397Z digest=sha256:9b1a20ec72e7f8c753b1ae00fb4ca9703e984f6a19dc4c25f502e933cc941e47

Observation 629e3333-b833-4408-a9db-07cbb1dd590a · outbound

This paper cites 3d human pose estimation in video with tem- poral convolutions and semi-supervised training.

Lifting Motion to the 3D World via 2D Diffusion 3d human pose estimation in video with tem- poral convolutions and semi-supervised training

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.598945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.865281Z digest=sha256:4c8ceb8e4166d1d8993207c29919657e4ab1f50814ee83340f0e016a3c4436b0

Observation 7c42d10e-78f6-4b3b-baef-2f40084ee49a · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Lifting Motion to the 3D World via 2D Diffusion DreamFusion: Text-to-3D using 2D Diffusion

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T10:55:34.869836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:55:34.869836Z digest=sha256:ecdd2b4ec90ecdc607b421d4bac3bd903596df72e103b8a7811a2d23f54d610c

Observation edc230ed-badf-452f-9a12-e0bbb1bd5b5e · outbound

This paper cites P-stmo: Pre-trained spatial temporal many-to-one model for 3d human pose estimation.

Lifting Motion to the 3D World via 2D Diffusion P-stmo: Pre-trained spatial temporal many-to-one model for 3d human pose estimation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.581452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.874570Z digest=sha256:9651956832c69c64b05b59991cf488c27ccd863d713d5385e20269b9a89d00e1

Observation 46b249b3-477d-4207-bcb4-7791861124f7 · outbound

This paper cites Global-to-local modeling for video-based 3d human pose and shape estimation.

Lifting Motion to the 3D World via 2D Diffusion Global-to-local modeling for video-based 3d human pose and shape estimation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.566233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.879184Z digest=sha256:ce72eb5cab714e9e9072e5bd2bc96a2570c8773b976db96991df60a991448743

Observation ba861cf5-bb6e-4b23-ab16-661b26d0aae0 · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

Lifting Motion to the 3D World via 2D Diffusion Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T10:55:34.883561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:55:34.883561Z digest=sha256:3fadcee4daf1147f056793ed32bc715af927316136809d88d35d9300b86333c5

Observation 06ac0be5-e7b7-46be-afba-b673b8a3cde7 · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

Lifting Motion to the 3D World via 2D Diffusion MVDream: Multi-view Diffusion for 3D Generation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T10:55:34.888075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:55:34.888075Z digest=sha256:9feef31d5165d8ca39fe9a327acaf456d360340c57752f43b618ffba6010dc56

Observation 4ff5688f-b5a0-45d7-9de5-7805fda2ef6e · outbound

This paper cites Wham: Reconstructing world-grounded humans with accu- rate 3d motion.

Lifting Motion to the 3D World via 2D Diffusion Wham: Reconstructing world-grounded humans with accu- rate 3d motion

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.548070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.892747Z digest=sha256:b28768fcfe4551424a0c2acd4cbdf360e1eb4dd16b3098c9e1f47d8a123e39cb

Observation d960f2b2-88a3-45e3-a529-69af3dd8417f · outbound

This paper cites Hu- maneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion.

Lifting Motion to the 3D World via 2D Diffusion Hu- maneva: Synchronized video and motion capture dataset and baseline algorithm for evaluation of articulated human motion

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.531574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.897755Z digest=sha256:b9b78ac8949afe29655eff9a0788b9b5d00c27bc34a03a7ad44698b55eb1a56b

Observation cf1ac204-3d6e-41e0-ba60-e85feac2762d · outbound

This paper cites Trace: 5d temporal regression of avatars with dynamic cam- eras in 3d environments.

Lifting Motion to the 3D World via 2D Diffusion Trace: 5d temporal regression of avatars with dynamic cam- eras in 3d environments

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.515036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.903269Z digest=sha256:23ec58d1fdf54785c620e23ed6b5c523568bb0c645c04f7db03f2c3bb25d2fed

Observation ee10bb76-eece-48ec-8b4e-397043a1e9f8 · outbound

This paper cites Black, and Dim- itrios Tzionas.

Lifting Motion to the 3D World via 2D Diffusion Black, and Dim- itrios Tzionas

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.499755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.908550Z digest=sha256:02b108d7c40b1dac1570f4ee82f6d438246d222e07b9e06cb961eae2450ec4f2

Observation 32a63846-82ac-4c9d-a112-6e02c7454d6f · outbound

This paper cites Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior.

Lifting Motion to the 3D World via 2D Diffusion Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.483669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.913879Z digest=sha256:77811ba98d4e4b21e06a682681ac8d1739c42ed56dbf0b1266fb27ee321c2c69

Observation eeb466b0-9503-455c-9ed9-228e7314f746 · outbound

This paper cites Human motion diffusion model.

Lifting Motion to the 3D World via 2D Diffusion Human motion diffusion model

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.466694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.919180Z digest=sha256:7c4584f4993df47e23c05ef565175f944b6acfca3bf17df0f69c19e2f17ef99e

Observation 4e4dfe25-17ef-4e3c-8867-06717b00ad8c · outbound

This paper cites Diffusion with forward models: Solv- ing stochastic inverse problems without direct supervision.

Lifting Motion to the 3D World via 2D Diffusion Diffusion with forward models: Solv- ing stochastic inverse problems without direct supervision

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.451967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.923818Z digest=sha256:cbc6620721b0deb0742d204da16367ea9f744e5afb5c4cf8ca8f0736fe5e3528

Observation f0eb49b2-bba5-4c3a-9dc2-eeb9aa2659ed · outbound

This paper cites EDGE: Editable dance generation from music.

Lifting Motion to the 3D World via 2D Diffusion EDGE: Editable dance generation from music

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.435521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.928529Z digest=sha256:a9ac3dbff9b626cf2c26f0559e4cf79b4eea6b12913a90a105de27a3fedfe0cf

Observation e0e03285-5a58-4be7-87d0-214705978d14 · outbound

This paper cites Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis.

Lifting Motion to the 3D World via 2D Diffusion Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-12T10:55:34.933222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:55:34.933222Z digest=sha256:fa9c5b787d44176bae8987a1de6a9306ef657e3dc1e1e20846ed8c47291361c0

Observation 32c90649-55ad-437b-b99d-6637418ca62e · outbound

This paper cites Attention is all you need.

Lifting Motion to the 3D World via 2D Diffusion Attention is all you need

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.419651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.938502Z digest=sha256:a3e13309e9a17a2cc52edc81f9d65815b4ada42e4864e73417e23a9de07785a5

Observation dae9918a-d0a5-4888-8301-d448e73def48 · outbound

This paper cites Encoder-decoder with multi-level attention for 3d human shape and pose estimation.

Lifting Motion to the 3D World via 2D Diffusion Encoder-decoder with multi-level attention for 3d human shape and pose estimation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.403440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.943106Z digest=sha256:40e03c3bfbe3a6ae300b13cef5220d8be8ccd2fd3a60ee0573bfb7d05d9d5a15

Observation e8ae4764-a4d4-458b-9184-23b4eccc29fb · outbound

This paper cites Elepose: Unsupervised 3d human pose estimation by predicting camera elevation and learning normalizing flows on 2d poses.

Lifting Motion to the 3D World via 2D Diffusion Elepose: Unsupervised 3d human pose estimation by predicting camera elevation and learning normalizing flows on 2d poses

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.389356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.947870Z digest=sha256:51d30c9b79b598ae48b53c7e3b5dc6dfdc0ccc77adeaad66babed71de9c3b6b3

Observation 03476878-d609-4590-9e99-049421ebf121 · outbound

This paper cites Motion guided 3d pose estimation from videos.

Lifting Motion to the 3D World via 2D Diffusion Motion guided 3d pose estimation from videos

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.374558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.952335Z digest=sha256:74d3f4006638cc22f3b07850fa3fc40eae20409b46cb65da611d2ee75ee2b160

Observation e6e9069e-df7a-4e84-97fa-38649a66651a · outbound

This paper cites Capturing humans in motion: Temporal- attentive 3d human pose and shape estimation from monocular video.

Lifting Motion to the 3D World via 2D Diffusion Capturing humans in motion: Temporal- attentive 3d human pose and shape estimation from monocular video

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.359334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.957034Z digest=sha256:c1b112313311e352588d38a8c66716f6e75938198769d9253d99ea5ef717d054

Observation b7c02c76-d7d2-49f0-be36-20ea76f1d62e · outbound

This paper cites Vitpose: Simple vision transformer baselines for human pose estimation.

Lifting Motion to the 3D World via 2D Diffusion Vitpose: Simple vision transformer baselines for human pose estimation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.343454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.962802Z digest=sha256:f93633bc6d6b072c86d3cd23189d4b965be725919703f67b78e4a1538232c72c

Observation 835b905b-096c-4635-b56c-a2cc68291cf9 · outbound

This paper cites DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model.

Lifting Motion to the 3D World via 2D Diffusion DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-12T10:55:34.968232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:55:34.968232Z digest=sha256:b14dd5d8aaa0644d51b345c8b696f48787dfcaee3390f6b852934c096d9583c6

Observation b7b1ebbc-418b-4647-b78c-be0fc16eb7e2 · outbound

This paper cites X-Pose: Detecting Any Keypoints.

Lifting Motion to the 3D World via 2D Diffusion X-Pose: Detecting Any Keypoints

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T10:55:34.973267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:55:34.973267Z digest=sha256:7f751355aad17602ce7c3449e9ee1902e03a7e597e2623dd94e345b0738c3fb6

Observation c962692f-992d-4d7e-80c6-e835c5587192 · outbound

This paper cites Decoupling human and camera motion from videos in the wild.

Lifting Motion to the 3D World via 2D Diffusion Decoupling human and camera motion from videos in the wild

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.327851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.979265Z digest=sha256:aa7213a01f7c07a1cb1fc68bca2454cf2b05b1a290709c081785e04737bd5857

Observation 36316867-20d6-466b-be73-97a70345c4f6 · outbound

This paper cites Glamr: Global occlusion-aware human mesh recovery with dynamic cameras.

Lifting Motion to the 3D World via 2D Diffusion Glamr: Global occlusion-aware human mesh recovery with dynamic cameras

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.311328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.984237Z digest=sha256:e28005bf44a81e330980f72083faf473775eba3df069800eeaec4f1949b593a8

Observation 8155c9e7-5ff4-4617-a632-ad00ccd99576 · outbound

This paper cites Pymaf-x: Towards well-aligned full-body model regression from monocular im- ages.

Lifting Motion to the 3D World via 2D Diffusion Pymaf-x: Towards well-aligned full-body model regression from monocular im- ages

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.292596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.989306Z digest=sha256:8c8262a3a30e50e896c61338175ac2b0b5f1548ce1e7906c4886e094cb1f3ef3

Observation 05fd230e-703f-4a12-be7d-4f1d440ce792 · outbound

This paper cites Mixste: Seq2seq mixed spatio-temporal encoder for 3d human pose estimation in video.

Lifting Motion to the 3D World via 2D Diffusion Mixste: Seq2seq mixed spatio-temporal encoder for 3d human pose estimation in video

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.274810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.993937Z digest=sha256:8f59ef74f5aa6e1dfdad68bbd3546cf886968d27fa270867359e5292cfaa566a

Observation 00d593c3-ae77-4ee9-856e-046c144f1ca6 · outbound

This paper cites ProxyCap: Real-time Monocular Full-body Capture in World Space via Human-Centric Proxy-to-Motion Learning.

Lifting Motion to the 3D World via 2D Diffusion ProxyCap: Real-time Monocular Full-body Capture in World Space via Human-Centric Proxy-to-Motion Learning

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:55:35.059554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:34.998534Z digest=sha256:e48f8d796e4bdc982c584cbea227ad7a3d98639b7d6f8933305474ccddd6205e

Observation 8ebd8df9-9c37-48d3-a84c-fe8221e09a21 · outbound

This paper cites 3d human pose estimation with spatial and temporal transformers.

Lifting Motion to the 3D World via 2D Diffusion 3d human pose estimation with spatial and temporal transformers

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.258801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:35.003688Z digest=sha256:92eaf0718ad8ed51018151e41724409b5fbf53bdc9757cc9756b20807a930a23

Observation 8b8934e9-6ba4-4bcf-8932-1144bf9954c4 · outbound

This paper cites Motionbert: A unified perspective on learning human motion representations.

Lifting Motion to the 3D World via 2D Diffusion Motionbert: A unified perspective on learning human motion representations

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:55:35.242500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:35.007966Z digest=sha256:ecfdb336cf79dadac742c599d895f2e4956c9581424439c906adc77e9f488391

Observation e373290f-1a16-48a9-9e16-68e38551cd55 · outbound

This paper cites an unresolved cited work.

Lifting Motion to the 3D World via 2D Diffusion Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:55:35.226560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T10:55:35.012598Z digest=sha256:d9770b4bb394364711a567c05b23a006922bdbbb15b735bc8e53000c3e35a79b

Pith citing papers

Observation 2adb1848-a42a-4e01-89a9-24a18284aeea · inbound

Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression cites this paper.

Rethinking Diffusion for Text-Driven Human Motion Generation: Redundant Representations, Evaluation, and Masked Autoregression Lifting Motion to the 3D World via 2D Diffusion

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T13:02:31.861119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:02:31.861119Z digest=sha256:4da40f3a26102ae31c658a556094e766bd6385d7fa10fd9dc1212d35cb358631

Observation c9824890-30e5-43ed-aec1-77c569cf8981 · inbound

Sketch2Anim: Towards Transferring Sketch Storyboards into 3D Animation cites this paper.

Sketch2Anim: Towards Transferring Sketch Storyboards into 3D Animation Lifting Motion to the 3D World via 2D Diffusion

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T06:05:03.680818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:05:03.680818Z digest=sha256:7cc7471af4431b827beb0148a21295a8b1c2a3016f66e06c5ae5ce6289b7a564

Observation 28b8fa0b-fe98-4bed-ac36-6adf4098e08a · inbound

Absolute Coordinates Make Motion Generation Easy cites this paper.

Absolute Coordinates Make Motion Generation Easy Lifting Motion to the 3D World via 2D Diffusion

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:19:29.379298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T14:19:14.986184Z digest=sha256:1022b7ae585e441fcd3a2aea8739833cf490c841fbe5ca6571116ba96982f67d

Observation f6baf87c-6988-4e9c-8a02-e2b13ff00a57 · inbound

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation cites this paper.

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation Lifting Motion to the 3D World via 2D Diffusion

Reference 102

Resolution
unresolved
no resolver link, observed 2026-08-03T12:14:47.037726Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-03T12:14:47.037726Z digest=sha256:5e8c97efbb4b666721803146ae2d2ecb53ede5131ebf8ca08d0e87eb0ee595cf