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Paper Citation Record · LEDGER

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models

As of 17 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2509.05776.

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

pith.paper-citation-record.v1
2509.05776 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:05:17.755220Z

measured 69 of 69 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

69 of 69 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e90a2695-15cf-4a04-86a9-b1661695e341 · outbound

This paper cites Posterior shape models.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Posterior shape models

Reference 1

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Observation 6d65d387-2639-4c60-8ee9-e96d96293930 · outbound

This paper cites Planning of skull reconstruction based on a statistical shape model combined with geometric morphometrics.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Planning of skull reconstruction based on a statistical shape model combined with geometric morphometrics

Reference 2

Resolution
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Observation 38ff0acd-ad89-4dfe-8430-1d5f3c72ae55 · outbound

This paper cites Reconstruction of 3d surfaces from incomplete digitisations using statistical shape models for manufacturing processes.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Reconstruction of 3d surfaces from incomplete digitisations using statistical shape models for manufacturing processes

Reference 3

Resolution
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Observation 7d5b8d83-8d07-41c7-946b-c02ea3d30497 · outbound

This paper cites Probabilistic surface reconstruction with unknown correspondence.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Probabilistic surface reconstruction with unknown correspondence

Reference 4

Resolution
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Observation d190d256-2013-4910-8db1-af832f88048f · outbound

This paper cites Virtual reconstruction of bilateral midfacial defects by using statistical shape modeling.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Virtual reconstruction of bilateral midfacial defects by using statistical shape modeling

Reference 5

Resolution
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Source-reported events for the cited work

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Observation 0b347723-409c-4c04-960b-b97b44aefc2e · outbound

This paper cites Reconstruction of full femora from partial bone fragments for anthropological analyses using statistical shape modeling.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Reconstruction of full femora from partial bone fragments for anthropological analyses using statistical shape modeling

Reference 6

Resolution
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Observation 0d40f2f8-99ed-498d-9992-5b56371d2449 · outbound

This paper cites Determination of sex from femora.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Determination of sex from femora

Reference 7

Resolution
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Source-reported events for the cited work

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Observation bbe5d725-3a96-499f-9da5-00023838e93c · outbound

This paper cites Morphometric sex estimation from 3d computed tomography os coxae model and its validation in skeletal remains.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Morphometric sex estimation from 3d computed tomography os coxae model and its validation in skeletal remains

Reference 8

Resolution
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Source-reported events for the cited work

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Observation f805d2db-1e4f-4299-ada4-7a737839f24d · outbound

This paper cites Accuracy of 3d corrective osteotomy for pediatric malunited both-bone forearm fractures.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Accuracy of 3d corrective osteotomy for pediatric malunited both-bone forearm fractures

Reference 9

Resolution
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Source-reported events for the cited work

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Observation cafc8304-f900-46f3-b036-9c229d7c823a · outbound

This paper cites Using statistical shape models to optimize tka implant design.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Using statistical shape models to optimize tka implant design

Reference 10

Resolution
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Source-reported events for the cited work

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Observation 431bc1e2-88e4-439a-bc9f-248f8260e5cc · outbound

This paper cites Detecting global and local hippocampal shape changes in alzheimer's disease using statistical shape models.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Detecting global and local hippocampal shape changes in alzheimer's disease using statistical shape models

Reference 11

Resolution
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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 e1d83707-0325-48b2-ba6f-3e06003b3d3e · outbound

This paper cites Prediction of femoral head coverage from articulated statistical shape models of patients with developmental dysplasia of the hip.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Prediction of femoral head coverage from articulated statistical shape models of patients with developmental dysplasia of the hip

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 0b0afce4-aa46-456d-9ee6-292c341b4b31 · outbound

This paper cites Discrete deformable model guided by partial active shape model for trus image segmentation.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Discrete deformable model guided by partial active shape model for trus image segmentation

Reference 13

Resolution
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Source-reported events for the cited work

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Observation e459cdf3-3974-4f5e-8266-15a47682c24a · outbound

This paper cites Shape-aware surface reconstruction from sparse 3d point-clouds.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Shape-aware surface reconstruction from sparse 3d point-clouds

Reference 14

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Source-reported events for the cited work

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

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Observation b8f2a6e4-8ac0-4d1a-b2f6-cbf241df1f15 · outbound

This paper cites Statistical biomechanical surface registration: application to mr-trus fusion for prostate interventions.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Statistical biomechanical surface registration: application to mr-trus fusion for prostate interventions

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 3b46cb9a-ba84-49ea-bcb8-53ca1f22f8ff · outbound

This paper cites A localized statistical motion model as a reproducing kernel for non-rigid image registration.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models A localized statistical motion model as a reproducing kernel for non-rigid image registration

Reference 16

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Observation 43cb0f1a-2bf6-49cf-8db6-32b56f552de3 · outbound

This paper cites Multi-resolution multi-object statistical shape models based on the locality assumption.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Multi-resolution multi-object statistical shape models based on the locality assumption

Reference 17

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Source-reported events for the cited work

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Observation 86399ab3-503a-428e-a462-4ca93389c004 · outbound

This paper cites A kernelized multi-level localization method for flexible shape modeling with few training data.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models A kernelized multi-level localization method for flexible shape modeling with few training data

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 0f879d90-77c9-4ec8-a229-0a403f56a231 · outbound

This paper cites Multi-shape-hierarchical active shape models.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Multi-shape-hierarchical active shape models

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 49e1c061-9425-459c-a548-e12ca145adb0 · outbound

This paper cites An anatomical region-based statistical shape model of the human femur.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models An anatomical region-based statistical shape model of the human femur

Reference 20

Resolution
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Observation f3395956-145c-420b-bdfc-4ec917c1cfdc · outbound

This paper cites Lagrangian frame diffeomorphic image registration: Morphometric comparison of human and chimpanzee cortex.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Lagrangian frame diffeomorphic image registration: Morphometric comparison of human and chimpanzee cortex

Reference 21

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Source-reported events for the cited work

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Observation b0036724-4cda-41c7-9561-5659084c9ddf · outbound

This paper cites Symmetric diffeomorphic modeling of longitudinal structural mri.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Symmetric diffeomorphic modeling of longitudinal structural mri

Reference 22

Resolution
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Source-reported events for the cited work

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Observation 2ad29340-b6f2-482c-aa6f-88d4eeb60149 · outbound

This paper cites Optimization of surface registrations using beltrami holomorphic flow.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Optimization of surface registrations using beltrami holomorphic flow

Reference 23

Resolution
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Source-reported events for the cited work

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Observation 6271639b-c859-4830-9cb1-23e04278f134 · outbound

This paper cites Diffeomorphometry and geodesic positioning systems for human anatomy.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Diffeomorphometry and geodesic positioning systems for human anatomy

Reference 24

Resolution
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Source-reported events for the cited work

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Observation b222f85b-dc1e-46c4-a757-f7ee46554604 · outbound

This paper cites Topology-preserving shape reconstruction and registration via neural diffeomorphic flow.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Topology-preserving shape reconstruction and registration via neural diffeomorphic flow

Reference 25

Resolution
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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 443f6e71-75ec-4924-9eb3-9757f156465d · outbound

This paper cites Statistical shape models for 3d medical image segmentation: a review.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Statistical shape models for 3d medical image segmentation: a review

Reference 26

Resolution
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Source-reported events for the cited work

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Observation e83e0784-235c-452e-908f-c3319a4fec8f · outbound

This paper cites A survey on shape-constraint deep learning for medical image segmentation.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models A survey on shape-constraint deep learning for medical image segmentation

Reference 27

Resolution
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Source-reported events for the cited work

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Observation c25219e3-1016-4be5-853d-2b329a1658c0 · outbound

This paper cites High-level prior-based loss functions for medical image segmentation: A survey.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models High-level prior-based loss functions for medical image segmentation: A survey

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation b4554571-3fe8-4824-a064-c203074bd5de · outbound

This paper cites Nested sphere statistics of skeletal models.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Nested sphere statistics of skeletal models

Reference 29

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Source-reported events for the cited work

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Observation 0a32c237-938c-43b3-8f2a-569dbdf9d49c · outbound

This paper cites Diffeomorphic medial modeling.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Diffeomorphic medial modeling

Reference 30

Resolution
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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 e327c028-e858-45d4-9b37-10b7ce47e932 · outbound

This paper cites Statistical models of appearance for medical image analysis and computer vision.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Statistical models of appearance for medical image analysis and computer vision

Reference 31

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 6f6ee88f-fdff-4af0-bed6-40d1aa0a34ab · outbound

This paper cites i3dmm: Deep implicit 3d morphable model of human heads.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models i3dmm: Deep implicit 3d morphable model of human heads

Reference 32

Resolution
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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 5f27594b-2134-41c4-99f7-82bb539f6921 · outbound

This paper cites Statistical shape and deformation analysis: methods, implementation and applications.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Statistical shape and deformation analysis: methods, implementation and applications

Reference 33

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 a4833c4e-41d6-415f-b425-6fbfbd97d6b9 · outbound

This paper cites Probabilistic principal geodesic analysis.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Probabilistic principal geodesic analysis

Reference 34

Resolution
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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 9a730c15-e342-419f-bc92-a3d9218e55b0 · outbound

This paper cites Pointr: Diverse point cloud completion with geometry-aware transformers.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Pointr: Diverse point cloud completion with geometry-aware transformers

Reference 35

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

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Observation 0a825053-08ea-4bb6-bbfb-c293014afd06 · outbound

This paper cites Implicit functions in feature space for 3d shape reconstruction and completion.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Implicit functions in feature space for 3d shape reconstruction and completion

Reference 36

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 ef518225-8221-4ef7-b5e9-2c74893b3b25 · outbound

This paper cites Elastic shape models for face analysis using curvilinear coordinates.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Elastic shape models for face analysis using curvilinear coordinates

Reference 37

Resolution
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Observation 067d18a2-8a52-48bb-bf4f-5d7070525da5 · outbound

This paper cites Laplace--beltrami eigenvalues and topological features of eigenfunctions for statistical shape analysis.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Laplace--beltrami eigenvalues and topological features of eigenfunctions for statistical shape analysis

Reference 38

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

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Observation ca49eab0-5fdb-48eb-8925-bc525aea8926 · outbound

This paper cites A comprehensive survey on 3d face recognition methods.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models A comprehensive survey on 3d face recognition methods

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 6a3005c8-3d58-4180-98e5-b1a3c985ab61 · outbound

This paper cites 3d morphable face models—past, present, and future.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models 3d morphable face models—past, present, and future

Reference 40

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 4b4e4537-fed4-4dad-88db-0d67210ad54b · outbound

This paper cites Morphable face models-an open framework.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Morphable face models-an open framework

Reference 41

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 5af8ce5a-222b-49dc-8eba-8a6eea0a0199 · outbound

This paper cites Unsupervised training for 3d morphable model regression.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Unsupervised training for 3d morphable model regression

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 71c44209-e823-4aaf-9297-9bec14368dda · outbound

This paper cites Fake it till you make it: face analysis in the wild using synthetic data alone.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Fake it till you make it: face analysis in the wild using synthetic data alone

Reference 43

Resolution
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Source-reported events for the cited work

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Observation 56fc9497-0e08-45a9-a7e8-d428fcfc3891 · outbound

This paper cites Neural head avatars from monocular rgb videos.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Neural head avatars from monocular rgb videos

Reference 44

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 ef28768e-8be4-4251-947d-e68f13ac5b6b · outbound

This paper cites Im avatar: Implicit morphable head avatars from videos.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Im avatar: Implicit morphable head avatars from videos

Reference 45

Resolution
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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 ba448fe7-19b1-4927-9c31-0e4311025561 · outbound

This paper cites Geometric morphometrics: ten years of progress following the ‘revolution’.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Geometric morphometrics: ten years of progress following the ‘revolution’

Reference 46

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 508b5a9a-96df-4791-b631-1f6ad8b86f7c · outbound

This paper cites Shape analysis of the basioccipital bone in pax7-deficient mice.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Shape analysis of the basioccipital bone in pax7-deficient mice

Reference 47

Resolution
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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 385e528d-63c2-4ed0-a896-dc4e49f6d4ea · outbound

This paper cites Confidence of model based shape reconstruction from sparse data.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Confidence of model based shape reconstruction from sparse data

Reference 48

Resolution
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Source-reported events for the cited work

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Observation 9ca352e9-9125-419e-bcb6-352222741ecd · outbound

This paper cites Statistical shape modeling approach to predict missing scapular bone.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Statistical shape modeling approach to predict missing scapular bone

Reference 49

Resolution
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Source-reported events for the cited work

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Observation 6426a329-60b0-472b-9b08-36c3291e491f · outbound

This paper cites Accuracy of femur reconstruction from sparse geometric data using a statistical shape model.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Accuracy of femur reconstruction from sparse geometric data using a statistical shape model

Reference 50

Resolution
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Source-reported events for the cited work

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Observation 474ec918-5f33-4fa7-a744-678aea48b2be · outbound

This paper cites Generalized procrustes analysis.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Generalized procrustes analysis

Reference 51

Resolution
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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 1ea6d2b6-f586-4be4-be6c-10d1e4af1f8e · outbound

This paper cites Gaussian process morphable models.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Gaussian process morphable models

Reference 52

Resolution
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Source-reported events for the cited work

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Observation b695fc7c-6440-41bf-ab5a-e1f7696bfac9 · outbound

This paper cites On the nystr \"o m method for approximating a gram matrix for improved kernel-based learning.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models On the nystr \"o m method for approximating a gram matrix for improved kernel-based learning

Reference 53

Resolution
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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 e28a748f-96eb-4747-8d41-206907517cf2 · outbound

This paper cites u rgen D \.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models u rgen D \

Reference 54

Resolution
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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 d742c624-90c4-4469-a217-ff900d4b18b3 · outbound

This paper cites Probabilistic principal component analysis.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Probabilistic principal component analysis

Reference 55

Resolution
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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 a2459242-2ca7-4deb-9c70-fc1d98057046 · outbound

This paper cites Validating Bayesian Inference Algorithms with Simulation-Based Calibration.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Validating Bayesian Inference Algorithms with Simulation-Based Calibration

Reference 56

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-05T05:05:17.720493Z digest=sha256:e0f84995d6a5e758e6d9f59ba75d2239e7a3b5ae33d315e6aebaaead1e641772

Observation 824a01e1-dc5b-4d56-bcfb-0380b54e8414 · outbound

This paper cites Linear operators and stochastic partial differential equations in gaussian process regression.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Linear operators and stochastic partial differential equations in gaussian process regression

Reference 57

Resolution
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Source-reported events for the cited work

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Observation 1308187e-1c45-47a2-95bb-7d5f1a1a7e41 · outbound

This paper cites Method for registration of 3-d shapes.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Method for registration of 3-d shapes

Reference 58

Resolution
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Source-reported events for the cited work

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Observation c41449a6-e25c-4d3e-baf8-fd0feed887a5 · outbound

This paper cites Iterative point matching for registration of free-form curves and surfaces.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Iterative point matching for registration of free-form curves and surfaces

Reference 59

Resolution
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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 ceec12d6-3fc5-4a05-a58b-ec5b11161765 · outbound

This paper cites The space of human body shapes: reconstruction and parameterization from range scans.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models The space of human body shapes: reconstruction and parameterization from range scans

Reference 60

Resolution
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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 d219b133-a69c-410d-85ce-c290622a3648 · outbound

This paper cites Optimal step nonrigid icp algorithms for surface registration.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Optimal step nonrigid icp algorithms for surface registration

Reference 61

Resolution
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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 4cd5a77f-7882-4c91-88db-b445dedbf58a · outbound

This paper cites Metropolis--hastings algorithms.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Metropolis--hastings algorithms

Reference 62

Resolution
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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 ec676afd-e12e-4d1e-afb9-12460c48cf07 · outbound

This paper cites Markov chain monte carlo for automated face image analysis.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Markov chain monte carlo for automated face image analysis

Reference 63

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 bd56f252-8866-4598-bf5c-de2b89603314 · outbound

This paper cites A closest point proposal for mcmc-based probabilistic surface registration.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models A closest point proposal for mcmc-based probabilistic surface registration

Reference 64

Resolution
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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 8037775a-4c4b-474e-8226-bd5eb4b75e6c · outbound

This paper cites Variational inference with normalizing flows.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Variational inference with normalizing flows

Reference 65

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 4cf5df04-4b65-4e07-8f13-e161c2677eca · outbound

This paper cites Normalizing flows for probabilistic modeling and inference.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Normalizing flows for probabilistic modeling and inference

Reference 66

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:05:17.747695Z digest=sha256:8e06d113d5557a862917b6b72bab667396c59107cb7f939a150973f53a89dc7f

Observation aee83107-aa9c-4a86-924b-600ac8ca3dbc · outbound

This paper cites Invertible densenets with concatenated lipswish.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Invertible densenets with concatenated lipswish

Reference 67

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 6cb33ce0-da44-4524-abf0-b9a6b75d9a53 · outbound

This paper cites Simulated annealing.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Simulated annealing

Reference 68

Resolution
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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.

source=arxiv_source observed=2026-08-05T05:05:17.752739Z digest=sha256:93f6bae5a95ad31fbe7db9f641cef522120fdcc0d1cea8419da4965fdc41c1b8

Observation 803ef15f-cfcd-45f3-bd2a-6b924c1f2ff9 · outbound

This paper cites Predicting carpal bone kinematics using an expanded digital database of wrist carpal bone anatomy and kinematics.

Posterior shape models revisited: Improving 3D reconstructions from partial data using target specific models Predicting carpal bone kinematics using an expanded digital database of wrist carpal bone anatomy and kinematics

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source=arxiv_source observed=2026-08-05T05:05:17.755220Z digest=sha256:b8671842f7a319afdf525462518c1e4c9ee367a3c21deef04e8b9fb842eea49b

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