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Paper Citation Record · LEDGER

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration

As of 13 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2411.18377.

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

pith.paper-citation-record.v1
2411.18377 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:20:16.672395Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

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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

58 of 58 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b495109-4b19-4742-a208-b43dedc74240 · outbound

This paper cites https://www.meta.com/en-gb/blog/ quest / ai - powered - technologies - quest - 3 - pro-ray-ban-meta-smart-glasses/.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration https://www.meta.com/en-gb/blog/ quest / ai - powered - technologies - quest - 3 - pro-ray-ban-meta-smart-glasses/

Reference 1

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Observation 8c997807-3de1-43af-be02-20691dc9ca12 · outbound

This paper cites Un- realego: A new dataset for robust egocentric 3d human mo- tion capture.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Un- realego: A new dataset for robust egocentric 3d human mo- tion capture

Reference 2

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Observation 25d40860-9d22-4344-a85c-46b73eb9f8e4 · outbound

This paper cites Flag: Flow- based 3d avatar generation from sparse observations.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Flag: Flow- based 3d avatar generation from sparse observations

Reference 3

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Observation 4e99a7ed-3ba8-4162-9df4-154c30bd2bfd · outbound

This paper cites A stochastic con- ditioning scheme for diverse human motion prediction.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration A stochastic con- ditioning scheme for diverse human motion prediction

Reference 4

Resolution
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Observation 7c0881cb-b235-46f3-bec5-24667e3268ce · outbound

This paper cites Fast on-board 3d torso pose recovery and forecasting.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Fast on-board 3d torso pose recovery and forecasting

Reference 5

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XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Unresolved cited work

Reference 6

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Observation a8be0671-0332-4886-93ca-c8155c2012eb · outbound

This paper cites Passthrough+ real-time stereoscopic view synthesis for mo- bile mixed reality.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Passthrough+ real-time stereoscopic view synthesis for mo- bile mixed reality

Reference 7

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Observation 3038ac5a-d6b5-45c0-83fb-10203618bcca · outbound

This paper cites Refinet: 3d human pose re- finement with depth maps.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Refinet: 3d human pose re- finement with depth maps

Reference 8

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Observation b4770249-b37f-4523-b9d4-ca3cfe4d8be9 · outbound

This paper cites Recent advances and perspectives in deep learning techniques for 3d point cloud data process- ing.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Recent advances and perspectives in deep learning techniques for 3d point cloud data process- ing

Reference 9

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Observation 993f6f66-9cac-4937-81c6-06b82936f595 · outbound

This paper cites Full-body motion from a single head-mounted device: Generating smpl poses from partial observations.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Full-body motion from a single head-mounted device: Generating smpl poses from partial observations

Reference 10

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Observation 00bcd906-8b60-4486-bbb7-f89037d4ed67 · outbound

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XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Unresolved cited work

Reference 11

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Observation bc418497-1db0-417f-aee8-27aef58ebb37 · outbound

This paper cites Recurrent network models for human dynam- ics.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Recurrent network models for human dynam- ics

Reference 12

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Observation 12655058-27fa-4627-99ae-9bda0fbe7004 · outbound

This paper cites Generating diverse and natural 3d human motions from text.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Generating diverse and natural 3d human motions from text

Reference 13

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Observation c6d28635-ca21-42ea-9953-0b21ad6ddb74 · outbound

This paper cites Human motion prediction via spatio-temporal in- painting.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Human motion prediction via spatio-temporal in- painting

Reference 14

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Observation 72a34e99-3bdf-4524-9ded-c630ee5f0c57 · outbound

This paper cites A deep learning framework for character motion synthesis and editing.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration A deep learning framework for character motion synthesis and editing

Reference 15

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Observation 439eba14-7663-4fc8-afd7-0e887c6ec6c8 · outbound

This paper cites Black, Otmar Hilliges, and Gerard Pons-Moll.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Black, Otmar Hilliges, and Gerard Pons-Moll

Reference 16

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Observation 3409f86a-b7d8-4f6f-a822-3636149e2356 · outbound

This paper cites See- ing invisible poses: Estimating 3d body pose from egocentric video.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration See- ing invisible poses: Estimating 3d body pose from egocentric video

Reference 17

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Observation ee457298-4e4c-41ea-bf27-d2323c08b09e · outbound

This paper cites Avatarposer: Ar- ticulated full-body pose tracking from sparse motion sens- ing.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Avatarposer: Ar- ticulated full-body pose tracking from sparse motion sens- ing

Reference 18

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Observation baeec54f-49c4-4527-a940-538dd73edb1c · outbound

This paper cites Transformer inertial poser: Real-time human motion reconstruction from sparse imus with simultaneous terrain generation.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Transformer inertial poser: Real-time human motion reconstruction from sparse imus with simultaneous terrain generation

Reference 19

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Observation d368dd96-013f-492d-acb3-951aaed42f28 · outbound

This paper cites Ego3dpose: Capturing 3d cues from binocular egocentric views.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Ego3dpose: Capturing 3d cues from binocular egocentric views

Reference 20

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Observation 6b9b4dcf-e13e-4c89-a68f-ce282439722a · outbound

This paper cites Human motion denoising using attention-based bidirectional recur- rent neural network.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Human motion denoising using attention-based bidirectional recur- rent neural network

Reference 21

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Observation 1ae72bad-d7f6-4c58-aeb7-b95e244128c0 · outbound

This paper cites Adam: A method for stochastic optimization.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Adam: A method for stochastic optimization

Reference 22

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Observation 13bf406b-2ecb-480c-b382-eb1e39f5fbd2 · outbound

This paper cites Practical stereo matching via cascaded recurrent net- work with adaptive correlation.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Practical stereo matching via cascaded recurrent net- work with adaptive correlation

Reference 23

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Observation 51140472-94ba-4331-a801-991e547ba59f · outbound

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XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Unresolved cited work

Reference 24

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XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Unresolved cited work

Reference 25

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Observation a7d3a749-3b9d-403e-bbf6-87f0882121c0 · outbound

This paper cites On human motion prediction using recurrent neural networks.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration On human motion prediction using recurrent neural networks

Reference 26

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Observation 8766b07e-35a2-448b-9c06-1db290d88072 · outbound

This paper cites Create more natural movements using inside-out body tracking and generative legs, 2023.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Create more natural movements using inside-out body tracking and generative legs, 2023

Reference 27

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Observation 0d8c9266-60ac-44b5-84d0-1449e476c4b8 · outbound

This paper cites You2me: Inferring body pose in egocentric video via first and second person interactions.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration You2me: Inferring body pose in egocentric video via first and second person interactions

Reference 28

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Observation 2953a302-149a-4fdc-9662-aafc0b699c91 · outbound

This paper cites Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, and Michael J.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, and Michael J

Reference 29

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Observation 08294538-8497-46d3-9aae-18cc3da2ec78 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 30

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Observation 44ecb2c7-3dd3-4e41-bc66-28a870ec575a · outbound

This paper cites PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Reference 31

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Observation e2461ca5-2fa4-45a2-a720-4c245ff5c5a4 · outbound

This paper cites Pointnext: Revisiting pointnet++ with improved training and scaling strategies.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Pointnext: Revisiting pointnet++ with improved training and scaling strategies

Reference 32

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.527532Z digest=sha256:a4ad80320a66d0dbcbd4704222f65b3d78495be933cf1aabe359138799dddc38

Observation 196befb1-e1d4-4c84-ac39-bdc16e03a4a1 · outbound

This paper cites an unresolved cited work.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:20:17.200370Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.532857Z digest=sha256:c87bd9b8f268b88dbc8f9ef3f0074b9cde2116761bf05523688e433bb9d735d7

Observation 7e362432-1c2c-4b68-a55c-5b104a866b51 · outbound

This paper cites Livehps: Lidar-based scene- level human pose and shape estimation in free environment.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Livehps: Lidar-based scene- level human pose and shape estimation in free environment

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:17.182943Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.538473Z digest=sha256:3c85f19190c2d0587b1c81da7e92252d41a16b921393bd890f86f99881a7aeba

Observation e7bfec62-10c7-4bf0-9b03-fb947d4f027d · outbound

This paper cites Lidar-aid inertial poser: Large-scale human motion capture by sparse inertial and lidar sensors.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Lidar-aid inertial poser: Large-scale human motion capture by sparse inertial and lidar sensors

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:17.164393Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.543582Z digest=sha256:46a016a2b8b7bf553fed661e46484df0e4a36087ff9b9a6e3be9e3909a485b6c

Observation 4920b25b-19ef-4a81-b08e-dfc9af3c86ba · outbound

This paper cites Egocap: egocentric marker-less mo- tion capture with two fisheye cameras.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Egocap: egocentric marker-less mo- tion capture with two fisheye cameras

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:17.146573Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.550732Z digest=sha256:bb2a62af1cd90fbae5e8db30dacf4eccf5a8b429cc5bd870436131711b84fbd6

Observation 2f4808a4-3b89-4b61-9976-03d3cc78930e · outbound

This paper cites Real-time 3d pose estimation from sin- gle depth images.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Real-time 3d pose estimation from sin- gle depth images

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:17.129142Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.556388Z digest=sha256:29e9fd9c0acbad36989ae373e0d1d27fd44f70df5a305e59ddc430ae4c519556

Observation 4024282f-c67f-445c-92f3-574ded0e7d24 · outbound

This paper cites Phasemp: Robust 3d pose estimation via phase-conditioned human motion prior.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Phasemp: Robust 3d pose estimation via phase-conditioned human motion prior

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:17.111827Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.561358Z digest=sha256:1b9cf4cbeae0be44dc92b2138e837c4d3e48569d0397ede9723a9b0b9e39dbcb

Observation 4739416a-a014-432c-a0f9-2ee1e91fe7b5 · outbound

This paper cites Human Motion Diffusion Model.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Human Motion Diffusion Model

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T11:20:16.566517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:20:16.566517Z digest=sha256:5632afe0c502273006d71a385ea2fa8e3b7f79e96b9441adb3ade9af1eb066fa

Observation e1b85d17-06bf-40a7-84f3-091ea96b17b4 · outbound

This paper cites an unresolved cited work.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:20:17.088901Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.572302Z digest=sha256:13a52562b9bfb215119c21ec887677dd0248f976d9c2cf9ced5bf3afc7c2dfea

Observation 94716890-9038-4406-9193-aa3020cbc1dc · outbound

This paper cites xr-egopose: Egocentric 3d human pose from an hmd camera.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration xr-egopose: Egocentric 3d human pose from an hmd camera

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:17.070083Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.577999Z digest=sha256:88ccddffa4d168a39290e63f6f4ff68038a0c32c5dae3ee9b11ce3ce4a24c6f8

Observation a8bf2f56-1bc1-4bb2-8650-8120b01bc067 · outbound

This paper cites Multi-person 3d pose estimation from 3d cloud data using 3d convolutional neural networks.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Multi-person 3d pose estimation from 3d cloud data using 3d convolutional neural networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:17.050710Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.582689Z digest=sha256:9ae6df84f4d7781eae6999afc13581c3b67888cbe0a3a6d16296ec021d215d6b

Observation 2e63cb00-ad4f-477c-81b8-afed043b4281 · outbound

This paper cites Egocentric whole-body motion capture with fisheyevit and diffusion-based motion refinement.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Egocentric whole-body motion capture with fisheyevit and diffusion-based motion refinement

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:17.026491Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.587205Z digest=sha256:3f4989c5e9cb730812cc6a4331727497ebdb5aa38b993aee44552e1548eb449a

Observation 070b5f3e-20ed-4007-a879-f4328ab9004d · outbound

This paper cites Sequential 3d human pose and shape estimation from point clouds.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Sequential 3d human pose and shape estimation from point clouds

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:17.008063Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.592312Z digest=sha256:6c3c73ca4790c223770e338b382a34211eeee176a0b14236f270d8b10ad007f8

Observation 03014204-c95b-424c-bd1b-62104b9e63dd · outbound

This paper cites Parametric model estimation for 3d clothed humans from point clouds.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Parametric model estimation for 3d clothed humans from point clouds

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.986599Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.597686Z digest=sha256:2e1e1b08c12e4cd884029b649c7289aef80148fd7af97a55174137b8e250a45f

Observation ab6d5e0e-5a0a-488a-ae61-eb9b88448a0f · outbound

This paper cites Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, and Dragomir Anguelov.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, and Dragomir Anguelov

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.968572Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.602883Z digest=sha256:0687f061fe688d4c1c6862a51b144322b3651500aa6b38c3b626b7648cd9fadc

Observation 20575f35-28d7-4c00-a4fa-b2ad5db3ef69 · outbound

This paper cites Quest- sim: Human motion tracking from sparse sensors with sim- ulated avatars.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Quest- sim: Human motion tracking from sparse sensors with sim- ulated avatars

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.952282Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.608069Z digest=sha256:563f83da33757bbdbd5f1187d7b89fc5a6cc574368add02b034ac68143baa2fd

Observation fb24a7a0-0f22-471e-aca1-53d2938dfa93 · outbound

This paper cites Neuralpassthrough: Learned real-time view synthesis for vr.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Neuralpassthrough: Learned real-time view synthesis for vr

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.935180Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.612860Z digest=sha256:99041b5bd4934c4f64969f8952d85bc4a4543d8c6900979190bd3729f14407b6

Observation 5682578c-3975-4350-a084-98e252b08b9d · outbound

This paper cites A re- view: Point cloud-based 3d human joints estimation.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration A re- view: Point cloud-based 3d human joints estimation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.917896Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.617974Z digest=sha256:b3c2519ed181b4571225132fc340aa5f648c13883852dab2a67666c0a7a2b212

Observation 42258c3b-ce7d-42ab-9c63-b86267a71834 · outbound

This paper cites Lobstr: Real-time lower-body pose prediction from sparse upper- body tracking signals.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Lobstr: Real-time lower-body pose prediction from sparse upper- body tracking signals

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.900044Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.623895Z digest=sha256:053655eba4af3b84a75b342e1055855190bdaad1c4cd5302139d70bff6e5862c

Observation 6f91105c-a72b-42c7-b3f4-6b1a6e674030 · outbound

This paper cites Neu- ral3points: Learning to generate physically realistic full- body motion for virtual reality users.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Neu- ral3points: Learning to generate physically realistic full- body motion for virtual reality users

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.883082Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.628911Z digest=sha256:32d0fe0a00a5ef49b0f7a042c841992ebe94d1af34f4e5316dd94e4c8304d7bb

Observation a2cdc635-c0c5-490c-95dc-7ff8add9d91b · outbound

This paper cites 3d ego-pose estimation via imita- tion learning.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration 3d ego-pose estimation via imita- tion learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.865490Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.634120Z digest=sha256:0efa29b1812a94312d2fbe4ec391a8aa10bb7e3918b30858e00272e8e9ceed02

Observation 1f17cc76-9896-43fc-8caf-d5fbe42b72f7 · outbound

This paper cites Physdiff: Physics-guided human motion diffusion model.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Physdiff: Physics-guided human motion diffusion model

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.847935Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.640246Z digest=sha256:d603771836c02bc77db9191070768dea87cbf86bd96b45c23b71544dd0ae465a

Observation 1b616cc9-9809-49f6-965a-aa9e2cf5ebf6 · outbound

This paper cites Motiondif- fuse: Text-driven human motion generation with diffusion model.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Motiondif- fuse: Text-driven human motion generation with diffusion model

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.829365Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.649525Z digest=sha256:3ac715d2fb7def2c3589534469fd41d811c7044498adb0372d6b573d166c02eb

Observation 752565e6-c1c0-44a6-910a-3fc5741d2318 · outbound

This paper cites Weakly supervised adversarial learning for 3d human pose estimation from point clouds.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Weakly supervised adversarial learning for 3d human pose estimation from point clouds

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.813464Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.654833Z digest=sha256:12cffccd565848e0c1d3e9d5a2e3ffebdec659086d3412ab73c637035aa29ebe

Observation 5298ab43-4f12-43ae-abb9-45d43ff0d834 · outbound

This paper cites Egoglass: Egocentric-view human pose estimation from an eyeglass frame.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Egoglass: Egocentric-view human pose estimation from an eyeglass frame

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.797004Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.660203Z digest=sha256:ef229059fee24b359ac930022623be6ce557cd5c8858804d5efaedd80f2b6313

Observation 69ae9459-885e-469d-af6d-2b7a41a01f52 · outbound

This paper cites Realistic full-body tracking from sparse observa- tions via joint-level modeling.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration Realistic full-body tracking from sparse observa- tions via joint-level modeling

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.779219Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.666365Z digest=sha256:3a76248a31b7277490db7463f19cfd9b4d843cb78faa144b1320dcd56eeca16f

Observation eca5eff2-ff0e-4af2-9035-cf40c9e124df · outbound

This paper cites On the continuity of rotation representations in neural networks.

XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration On the continuity of rotation representations in neural networks

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:20:16.761040Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T11:20:16.672395Z digest=sha256:c1e6e255f07bbf39629805944b5f56502a5d29eb0663b97021955382fe9c7544

Pith citing papers

No inbound Pith citation observations are available.