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Paper Citation Record · LEDGER

Diffusion Model-based Activity Completion for AI Motion Capture from Videos

As of 19 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2505.21566.

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

pith.paper-citation-record.v1
2505.21566 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:59.306464Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

49 of 49 outbound references displayed

  • verified exact1
  • verified fuzzy38
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ae1d358-49d1-4ba0-aecf-a28e0debf8e7 · outbound

This paper cites Im- provement of Human Action Recognition Using 3D Pose Estima- tion, pages 21–37.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Im- provement of Human Action Recognition Using 3D Pose Estima- tion, pages 21–37

Reference 1

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Observation 1c5f6413-35d5-4146-8f1f-ee25bd9357f1 · outbound

This paper cites an unresolved cited work.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Unresolved cited work

Reference 2

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation aaf2eb89-c7f7-4453-8f0e-7d69b7a44df6 · outbound

This paper cites Real- time multi-person 2d pose estimation using part affinity fields.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Real- time multi-person 2d pose estimation using part affinity fields

Reference 3

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6cc8c86e-3bc2-4925-b831-81c01fcf371e · outbound

This paper cites Bodiffusion: Diffusing sparse observations for full-body human motion synthesis.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Bodiffusion: Diffusing sparse observations for full-body human motion synthesis

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d0e210a8-55c9-428c-833d-11596ce2aa16 · outbound

This paper cites Humanmac: Masked motion completion for human motion prediction.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Humanmac: Masked motion completion for human motion prediction

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3fbe630e-ff9b-48d8-b633-a78ac811bf5a · outbound

This paper cites Pose2mesh: Graph convolutional network for 3d human pose and mesh recovery from a 2d human pose.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Pose2mesh: Graph convolutional network for 3d human pose and mesh recovery from a 2d human pose

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d26f2310-f7e2-4b4c-9035-42f944bfedf8 · outbound

This paper cites Alphapose: Whole- body regional multi-person pose estimation and tracking in real- time.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Alphapose: Whole- body regional multi-person pose estimation and tracking in real- time

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c755e6b2-995b-462f-b8c1-0a626dddbb97 · outbound

This paper cites Generative adversarial networks.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Generative adversarial networks

Reference 8

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Source-reported events for the cited work

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Observation 177d7896-cbde-4d58-98ea-3a4dac973c62 · outbound

This paper cites Momask: Generative masked modeling of 3d human motions.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Momask: Generative masked modeling of 3d human motions

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ea99526d-1e05-471c-bbc9-5b6a70cfc8d6 · outbound

This paper cites Deep residual learning for image recognition.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Deep residual learning for image recognition

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 41c4f3d6-b253-42e8-8d90-e4dc02afb60e · outbound

This paper cites Denoising diffusion probabilistic models.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Denoising diffusion probabilistic models

Reference 11

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Observation 0cd3cf20-14fd-4585-b399-36bc517aaec7 · outbound

This paper cites Video diffusion models.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Video diffusion models

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0c147739-12fb-4769-9654-346a67b94662 · outbound

This paper cites Phase-functioned neural networks for character control.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Phase-functioned neural networks for character control

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 47365bcd-54e3-4219-a736-b4ce43afe3b0 · outbound

This paper cites Winnet: Wavelet- inspired invertible network for image denoising.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Winnet: Wavelet- inspired invertible network for image denoising

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation db44d5fd-7e81-4c21-b759-5b4ecce19ae5 · outbound

This paper cites an unresolved cited work.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1a355ffa-d98c-4e2a-851d-e21ee7864e48 · outbound

This paper cites Alias-free generative adversarial networks.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Alias-free generative adversarial networks

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:56.982263Z digest=sha256:526276545cc92d5dc7df087238e3e0f06aff9794d552ff191ffdbafc48ed2363

Observation 7fc0a2f2-4ef5-4038-b502-eb27146b9478 · outbound

This paper cites Plan, Posture and Go: Towards Open-World Text-to-Motion Generation.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Plan, Posture and Go: Towards Open-World Text-to-Motion Generation

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2a84a056-c966-4613-8551-334751c5857b · outbound

This paper cites Aggregated multi-gans for controlled 3d human motion prediction.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Aggregated multi-gans for controlled 3d human motion prediction

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 339539c1-de02-449f-b911-209d29a5c727 · outbound

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

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Smpl: A skinned multi-person linear model

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a1e88668-bef5-4e9b-b51f-0edb7a113885 · outbound

This paper cites 3d human mesh estimation from virtual mark- ers.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos 3d human mesh estimation from virtual mark- ers

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f33da4eb-1fc4-4ed3-9fdd-32f866153db4 · outbound

This paper cites Generative ai for recognizing nurse training activities in skeleton-based video data.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Generative ai for recognizing nurse training activities in skeleton-based video data

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 95c0773b-0fc3-43b3-937c-ad842c203f9a · outbound

This paper cites On hu- man motion prediction using recurrent neural networks.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos On hu- man motion prediction using recurrent neural networks

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f695e101-b684-4698-8388-b715054433f0 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3d495fe3-ce05-4711-8a46-05cbdaa01f98 · outbound

This paper cites Posefix: Model-agnostic general human pose refinement network.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Posefix: Model-agnostic general human pose refinement network

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:57.775323Z digest=sha256:762637bf5ba4b12a991b3b121e6dc92e1c37114a93c8835524c51e9d4229dd9e

Observation 86bc5870-5ce5-431b-ada8-cd56ddd63fc1 · outbound

This paper cites Accurate 3d hand pose estimation for whole-body 3d human mesh estima- tion.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Accurate 3d hand pose estimation for whole-body 3d human mesh estima- tion

Reference 25

Resolution
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raw_fallback, observed 2026-08-07T13:53:04.303279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9c2a3f1d-dfdb-4dc8-a892-f2663d430e98 · outbound

This paper cites A metaverse: Taxonomy, components, applications, and open challenges.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos A metaverse: Taxonomy, components, applications, and open challenges

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1fad0632-2097-4f6b-ab64-acb26a99dc04 · outbound

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

Diffusion Model-based Activity Completion for AI Motion Capture from Videos 3d human pose estimation in video with temporal convolutions and semi-supervised training

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:03.765202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f7a9bab4-65f7-4912-a1aa-6bd1257dc268 · outbound

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

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:03.547976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1beabe5f-0fdc-4a40-b251-ce2728e4e6b6 · outbound

This paper cites Recognition of endotracheal suctioning activities: A feature extraction and ensemble learning approach based on pose esti- mation data.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Recognition of endotracheal suctioning activities: A feature extraction and ensemble learning approach based on pose esti- mation data

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:58.037950Z digest=sha256:0b2a5fac5058fb18ec1074f10f0f451b82d93491cb7493af7d4f70468c04e3b6

Observation 3258b891-48dd-4d71-a57b-a699aad41d53 · outbound

This paper cites Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Stylegan-v: A continuous video generator with the price, image quality and perks of stylegan2

Reference 30

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raw_fallback, observed 2026-08-07T13:53:03.057560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:58.111465Z digest=sha256:a177fa83b685f4ae6b3d3f06db30a43030ef67511be9608dac1e8ee30bd73bf1

Observation 28176c6d-78bb-498e-869c-3a44f37b60f5 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Score-Based Generative Modeling through Stochastic Differential Equations

Reference 31

Resolution
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no resolver link, observed 2026-08-07T13:52:58.172142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:58.172142Z digest=sha256:c179904209b1eb688888d804b8a2ab23bbd5d2bb2c5f03debbda471eac86a91c

Observation bd2490d4-ec12-4308-bb95-50125c38cfaf · outbound

This paper cites Deepphase: Periodic autoencoders for learning motion phase manifolds.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Deepphase: Periodic autoencoders for learning motion phase manifolds

Reference 32

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raw_fallback, observed 2026-08-07T13:53:02.850055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1dc23a5c-584e-4138-baf8-2c8d56b0f560 · outbound

This paper cites Deep high- resolution representation learning for human pose estimation.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Deep high- resolution representation learning for human pose estimation

Reference 33

Resolution
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raw_fallback, observed 2026-08-07T13:53:02.636009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:58.287881Z digest=sha256:51d7f9fbf68a3950f6e2a5b0241ee60797571f66d02eac1428c57d5aab97944f

Observation 9a727970-5e5d-40ea-b249-d774d2a96724 · outbound

This paper cites Augmented reality and robotics: A sur- vey and taxonomy for ar-enhanced human-robot interaction and robotic interfaces.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Augmented reality and robotics: A sur- vey and taxonomy for ar-enhanced human-robot interaction and robotic interfaces

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:02.389009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:58.332417Z digest=sha256:0a42f52a2a6ed494bd3a705d97cbca3623cdec68aba327081b1ae349e19c9a76

Observation 9b854a2a-25b1-4b06-914b-6d772817d0eb · outbound

This paper cites From screen to re- ality: Exploring the evolution and integration of motion capture technology for virtual digital humans.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos From screen to re- ality: Exploring the evolution and integration of motion capture technology for virtual digital humans

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bb4ad272-c95d-4a0f-b75d-a9b000c77b2c · outbound

This paper cites Human Motion Diffusion Model.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Human Motion Diffusion Model

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:58.469426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5cfad7f6-3f0e-4045-9fb1-521e71660180 · outbound

This paper cites Learning from synthetic humans.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Learning from synthetic humans

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:01.905608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:58.553283Z digest=sha256:de06f29fa2f614881cae1bbea1173ddfa66af0fad4b3c4c15445455c0e0139e8

Observation 77b5cf2c-0a14-48ca-ba0c-de8232072acf · outbound

This paper cites Attention is all you need.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Attention is all you need

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:01.600610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:58.625373Z digest=sha256:77667390fda0eb23f53034dfcea21efd71791f035ee685210bdea6333202e425

Observation 82784400-9b7c-4c9e-b0d5-bfa502de7b4e · outbound

This paper cites DiffusionPhase: Motion Diffusion in Frequency Domain.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos DiffusionPhase: Motion Diffusion in Frequency Domain

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:58.723329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:58.723329Z digest=sha256:462901f0bd13c5d2aa23404423492291fb32458a83838239020444f96d6e70cf

Observation 65759bc6-caed-4d18-9995-e375f9408d62 · outbound

This paper cites FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:52:59.485490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:58.778362Z digest=sha256:6a719d78b92a11671d6c97ad33ecbd1e0d44089861196cedc1b429ef6bee71b1

Observation 6d2c1b62-cca7-478b-8901-49bf507ed579 · outbound

This paper cites Actformer: A gan-based transformer to- wards general action-conditioned 3d human motion generation.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Actformer: A gan-based transformer to- wards general action-conditioned 3d human motion generation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:01.325668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:58.829116Z digest=sha256:08cb97c50ab1dd115e316ca893c9d67219eb199b40024912379bb8a1917dc0be

Observation 00bb5be2-a573-4f96-9974-90f4916043e9 · outbound

This paper cites Using ai motion capture systems to capture race walking technol- ogy at a race scene: A comparative experiment.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Using ai motion capture systems to capture race walking technol- ogy at a race scene: A comparative experiment

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:01.092387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:58.885760Z digest=sha256:0e4e7c86cb6b9e7c3e5981aa6c2bcb458c6a8646108b724193074a4b90ddc37e

Observation 79be8e3d-5faf-45ce-8be0-5d83f346d69c · outbound

This paper cites Mode- adaptive neural networks for quadruped motion control.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Mode- adaptive neural networks for quadruped motion control

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:00.834506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:58.936542Z digest=sha256:f46b6d9d7cd833dc59f404ae2c61e65e9f5f6368ee59a2fd55e6b02bec04c2d1

Observation b005368a-8b66-4885-a8f4-a8f49f67fe19 · outbound

This paper cites MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:58.998873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:58.998873Z digest=sha256:1183146e634c1dbea57f1a7df0c1c6d0743dfd7857b4f2758db4a7ffc0173384

Observation 6415bce9-a4b8-4623-bb09-526952c8e61e · outbound

This paper cites Dstformer: 3d human pose estimation with a dual-scale spatial and temporal transformer network.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Dstformer: 3d human pose estimation with a dual-scale spatial and temporal transformer network

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:00.546279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:59.066629Z digest=sha256:697f5af04bf1b5f62e024faef4e0833faad37ef8eccaf3a97a64424ad25646a8

Observation 3fea8f95-e8ea-40af-85df-5019012b23f9 · outbound

This paper cites an unresolved cited work.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:53:00.263424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:59.120149Z digest=sha256:a31830d7194a1a2fc57d4a11e13a2f817ad5feb8a267905d9970ab0ee0a4026e

Observation 8ecf87ef-cad3-499c-a25a-cefcc491b271 · outbound

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

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Motionbert: A unified perspective on learning human motion representations

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:00.066846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:59.175352Z digest=sha256:f4016378394661c5dbf055ae8a73a8303207140c71c5e2ee3868589dc9dfd457

Observation daff242f-0323-40a9-8577-89705bc7ea35 · outbound

This paper cites Human motion generation: A survey.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Human motion generation: A survey

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:52:59.893039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:59.234498Z digest=sha256:90150a05fec4ba54c86b80d66494baa30f9a8d0ab3a0b0571547ec8bfd5edda1

Observation 4057adc6-e640-4137-a77f-995c7bf0972e · outbound

This paper cites Sensor data augmentation from skeleton pose sequences for improving human activity recogni- tion.

Diffusion Model-based Activity Completion for AI Motion Capture from Videos Sensor data augmentation from skeleton pose sequences for improving human activity recogni- tion

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:52:59.752645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T13:52:59.306464Z digest=sha256:878ed4ce7a2a28e7cfa8c35cd1f609240f3ebd83c66a9582b0f83f0ab6c6d131

Pith citing papers

No inbound Pith citation observations are available.