Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:35:18.176836Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 1 inbound Pith citation observation for arXiv:2412.13058.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:35:18.176836Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T23:59:38.793413Z
A source-named dated measurement, never combined with another source.
Source: cited_works
85 of 85 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a7155872-588e-43bd-bda2-39f32dddc4d3 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Unresolved cited work
Reference 1
Source-reported events for the cited work
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Observation 6169adcb-858e-4b77-acfc-04fc2ddcb853 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Unresolved cited work
Reference 2
Source-reported events for the cited work
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Observation 2f48a3e7-c21a-4105-b41a-e18b692a6402 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Unresolved cited work
Reference 3
Source-reported events for the cited work
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Observation 512e31fe-76a1-4c63-adf1-eda0da65ed32 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Multi-hmr: Multi-person whole- body human mesh recovery in a single shot
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9eb4c99-18a9-436f-bc07-87ac8e204b36 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Unresolved cited work
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25b204f7-4d58-444f-9e7d-85b9b631e9b0 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Springer, 2006
Reference 6
Source-reported events for the cited work
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Observation c1ec6ee0-f248-4c05-9d4c-520c8088b4bc · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Bedlam: A synthetic dataset of bodies exhibiting detailed lifelike animated motion
Reference 7
Source-reported events for the cited work
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Observation fc62a159-0956-43c9-b84e-3f07949aa22c · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Keep it smpl: Automatic estimation of 3d human pose and shape from a single image
Reference 8
Source-reported events for the cited work
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Observation fbdc1a8d-5ed8-4156-b721-94667c90d5f8 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Deep regression on manifolds: a 3D rotation case study
Reference 9
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CondiMen: Conditional Multi-Person Mesh Recovery Language models are few-shot learners
Reference 10
Source-reported events for the cited work
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Observation f924e26e-2bea-4083-a3e7-1395a40d652e · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Smpler-x: Scaling up expressive human pose and shape estimation
Reference 11
Source-reported events for the cited work
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Observation fd278a43-625e-4c39-b8d9-aac31ba9980e · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Matterport3D: Learning from RGB-D data in indoor environments
Reference 12
Source-reported events for the cited work
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Observation af5294cc-c3aa-40c6-bc6c-f48975792962 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Synthesizing training images for boosting human 3d pose estimation
Reference 13
Source-reported events for the cited work
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Observation 3aa87281-7dff-4eab-b28a-eb436d2ab780 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Tempo: Efficient multi-view pose estimation, tracking, and forecasting
Reference 14
Source-reported events for the cited work
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Observation c0e49d9b-783b-4a95-9938-3c3e9367fd24 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Monocular expressive body regression through body-driven atten- tion
Reference 15
Source-reported events for the cited work
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Observation a99fc9ee-1e81-4592-922e-d6d4b693f200 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Up- ose3d: Uncertainty-aware 3d human pose estimation with cross-view and temporal cues
Reference 16
Source-reported events for the cited work
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Observation 22d8620f-ba66-4f7b-89fa-20188c382101 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery An image is worth 16x16 words: Transformers for image recognition at scale
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 040ed93b-468d-48a9-99a5-6802920a2546 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Poco: 3d pose and shape estimation with confidence
Reference 18
Source-reported events for the cited work
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Observation 7d361715-6ffc-452f-b0ca-afcff2c0c136 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Tokenhmr: Advancing human mesh recovery with a tokenized pose representation
Reference 19
Source-reported events for the cited work
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Observation 5c5c4c37-8a97-46c4-9f0c-f3003fa494c8 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Tam- ing transformers for high-resolution image synthesis
Reference 20
Source-reported events for the cited work
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Observation adb93fa3-7dd0-40a7-977c-527683194229 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Collaborative regression of expressive bodies using moderation
Reference 21
Source-reported events for the cited work
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Observation 2553ab25-2b41-454e-9971-93fa6947aaed · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Vq-hps: Humanposeandshapeestimationinavector-quantized latent space.ECCV, 2024
Reference 22
Source-reported events for the cited work
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Observation 00f853ec-2985-416e-b41c-8fd48cf48675 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Hu- mans in 4d: Reconstructing and tracking humans with transformers
Reference 23
Source-reported events for the cited work
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Observation fda0200f-9bba-4956-8a89-29d7eef40200 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Look ma, no markers: holistic perfor- mance capture without the hassle
Reference 24
Source-reported events for the cited work
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Observation 4056530a-07db-46ba-b9ed-14677bec8cff · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Closely interactive hu- man reconstruction with proxemics and physics-guided adaption
Reference 25
Source-reported events for the cited work
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Observation 19692e6b-9085-4532-ae89-08160f0c2d0f · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Huang, Hongwei Yi, Markus Höschle, Matvey Safroshkin, Tsvetelina Alexiadis, Senya Po- likovsky, Daniel Scharstein, and Michael J
Reference 26
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.
Observation aeef4bf7-482d-45ca-a075-d32aa1db5bd9 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Human3.6m: Large scale datasets and predictive methods for 3d human sensing in natural environments.IEEE Trans
Reference 27
Source-reported events for the cited work
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Observation 0953bb72-33c4-440d-9d6f-e015c5f317c1 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Learnable triangulation of human pose
Reference 28
Source-reported events for the cited work
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Observation e0c9851f-1a2f-44e4-a0fb-0b3876befc64 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Generating multiple diverse hypotheses for human 3d pose consistent with 2d joint detections
Reference 29
Source-reported events for the cited work
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Observation 12c031db-0c02-47e0-9421-2b133ebcf8fa · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Delv- ing deep into pixel alignment feature for accurate multi- view human mesh recovery
Reference 30
Source-reported events for the cited work
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Observation 3251a50f-5e55-47d7-acfc-56224b1bc64c · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Exemplar fine-tuning for 3d human model fitting to- wards in-the-wild 3d human pose estimation
Reference 31
Source-reported events for the cited work
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Observation cf673fae-71d7-41f4-bd6d-f5c7d405d66e · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Black, David W
Reference 32
Source-reported events for the cited work
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Observation a570a6cb-493d-4c53-9bae-72de8e6c8249 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Kingma and Jimmy Ba
Reference 33
Source-reported events for the cited work
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Observation b4ad89d5-d987-4166-815f-ceb37c6878fb · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Learningtoreconstruct3dhuman pose and shape via model-fitting in the loop
Reference 34
Source-reported events for the cited work
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Observation 8f95f6cf-92bc-4616-a411-d3e3b6e64abe · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Probabilistic modeling for human mesh recovery
Reference 35
Source-reported events for the cited work
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Observation 453d991a-182b-433a-af0b-064f891b1dc0 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Generating multiple hypothe- ses for 3d human pose estimation with mixture density network
Reference 36
Source-reported events for the cited work
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Observation 55b9a496-0382-43e2-b2a2-18768445b831 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Human pose regres- sion with residual log-likelihood estimation
Reference 37
Source-reported events for the cited work
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Observation af416b29-accd-427a-934b-ee11fd9127ec · outbound
CondiMen: Conditional Multi-Person Mesh Recovery 3d human pose and shape estimation through collabo- rative learning and multi-view model-fitting
Reference 38
Source-reported events for the cited work
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Observation 71a3acf0-9060-4bc6-8e04-dbd8e818c5fd · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Cliff: Carrying location informa- tion in full frames into human pose and shape estima- tion
Reference 39
Source-reported events for the cited work
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Observation 35ca5faf-d4d7-4586-9645-87f0fedb47d9 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery One-stage 3d whole-body mesh recovery with component aware transformer
Reference 40
Source-reported events for the cited work
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Observation 8f62493d-3990-4693-8eb4-0cf98a02aaa9 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Unresolved cited work
Reference 41
Source-reported events for the cited work
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Observation 196d445a-8019-4240-a8fe-acfb775c8d86 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Single-shot multi-person 3d pose estimation from monocular rgb
Reference 42
Source-reported events for the cited work
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Observation e719c4aa-f93e-4ea5-b5eb-d377f92c203d · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Accurate 3d hand pose estimation for whole-body 3d human mesh estimation
Reference 43
Source-reported events for the cited work
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Observation c25f9f6b-520e-4618-88a4-7c7d3c2d0621 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Generative Proxemics: A Prior for 3D Social Interaction from Images
Reference 44
Source-reported events for the cited work
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Observation 6858e06a-7da3-4b2d-ba4f-d3e2034219a8 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Dinov2: Learning robust visual features without supervision.TMLR, 2024
Reference 45
Source-reported events for the cited work
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Observation 041182bf-0eca-4787-bbb9-3fe5e90a334a · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Agora: Avatars in geography optimized for re- gression analysis
Reference 46
Source-reported events for the cited work
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Observation 936d0a2f-190c-4c65-b7fb-c00c746b0737 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Expressive body capture: 3d hands, face, and body from a single image
Reference 47
Source-reported events for the cited work
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Observation 18846c13-33d4-4bc4-914b-35a8b8d804be · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Expressive body capture: 3d hands, face, and body from a single image
Reference 48
Source-reported events for the cited work
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Observation 9b13395c-04a9-4c70-a64c-179b9b8f5b96 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Human mesh recovery from multiple shots
Reference 49
Source-reported events for the cited work
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Observation 670a2e08-4861-4c87-88c9-fd7473fc7982 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Cross view fusion for 3d human pose estimation
Reference 50
Source-reported events for the cited work
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Observation 7750a108-c5ff-4b2d-93f9-cd6f1f7fa90d · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Psvt: End-to-end multi-person 3d pose and shape estimation with progressive video transformers
Reference 51
Source-reported events for the cited work
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Observation 733d2f05-0ed6-4296-beea-20f6002f4d62 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Lcr-net: Localization-classification-regression for human pose
Reference 52
Source-reported events for the cited work
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Observation d343e520-5545-4a44-8b76-78c1ea8a6226 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Frankmo- cap: A monocular 3d whole-body pose estimation sys- tem via regression and integration
Reference 53
Source-reported events for the cited work
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Observation 4c2e8e74-1f83-4485-8d07-e0cde0265d34 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Neural localizer fields for continuous 3d human pose and shape estima- tion.NeurIPS, 2024
Reference 54
Source-reported events for the cited work
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Observation 8c7afa27-6f15-48d9-b4bd-5fe960041d6a · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Habitat: A platform for embodied ai research
Reference 55
Source-reported events for the cited work
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Observation f01d366f-5fdf-4f77-8e22-661d99fe9c57 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Hierarchical kinematic probability distributions for 3d human shape and pose estimation from images in the wild
Reference 56
Source-reported events for the cited work
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Observation e38fdd5c-bef8-4fef-9e22-efebbb34bebd · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Probabilistic 3d human shape and pose estimation from multiple unconstrained images in the wild
Reference 57
Source-reported events for the cited work
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Observation 73d6a97b-b8af-4efd-b9c2-f9504729972e · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Humaniflow: Ancestor-conditioned normalising flows on so (3) manifolds for human pose and shape distribu- tion estimation
Reference 58
Source-reported events for the cited work
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Observation b3577978-f740-4b21-bf1f-2a5887523ea2 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Wham: Reconstructing world-grounded humans with accurate 3d motion
Reference 59
Source-reported events for the cited work
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Observation b21ef101-a70c-4484-abcc-fe03b0e1b0a9 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Stochastic tracking of 3d human figures using 2d image motion
Reference 60
Source-reported events for the cited work
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Observation e79450af-e2d3-42be-8509-7aa978a571c9 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Covariancescaled sampling for monocular 3d body tracking
Reference 61
Source-reported events for the cited work
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Observation 4bddf1a0-d5f5-4eb8-aa72-6c1e3e83614e · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Aios: All-in-one-stage expres- sive human pose and shape estimation
Reference 62
Source-reported events for the cited work
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Observation 90bc17c6-ed41-448f-8e40-2c4148bf4bea · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Monocular, one-stage, regression of multiple 3d people
Reference 63
Source-reported events for the cited work
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Observation 10b33120-2675-429e-a157-61d494b20242 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Putting people in their place: Monoc- ular regression of 3d people in depth
Reference 64
Source-reported events for the cited work
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Observation 8504af0f-df8c-43b9-a8aa-ba0439078581 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Voxel- pose: Towards multi-camera 3d human pose estimation in wild environment
Reference 65
Source-reported events for the cited work
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Observation 4dcf2b1e-05b4-49e6-889d-77425e5b2e09 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Conditional image generation with pixelcnn decoders
Reference 66
Source-reported events for the cited work
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Observation 5d7c8fa9-4074-4a43-9631-32410c867930 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Black, Bodo Rosenhahn, and Gerard Pons-Moll
Reference 67
Source-reported events for the cited work
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Observation 3875d05e-55b7-4925-a1b3-8e66e619c4f9 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Tram: Global trajectory and motion of 3d humans from in-the-wild videos
Reference 68
Source-reported events for the cited work
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Observation 7e0a5b76-89ff-47e9-ac55-634f9e1bce11 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Probabilistic monocular 3d human pose estimation with normalizing flows
Reference 69
Source-reported events for the cited work
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Observation 9db05ecf-330d-4fec-8296-61fe6e233dee · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Dope: Dis- tillation of part experts for whole-body 3d pose estima- tion in the wild
Reference 70
Source-reported events for the cited work
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Observation fe5f852b-6269-4675-a9ef-a078237e0c63 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, and Silvio Savarese
Reference 71
Source-reported events for the cited work
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Observation a38d9dc2-8003-49cf-a301-559ea6ef693d · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Visibility-guided human body reconstruction from uncalibrated multi-view cameras
Reference 72
Source-reported events for the cited work
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Observation b6b6d2ef-1cc5-4dcc-8488-4bf469a1b09e · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Ghum & ghuml: Generative 3d human shape and articulated pose models
Reference 73
Source-reported events for the cited work
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Observation 472a9e3f-4fff-4ff8-96cb-12205cb76b1a · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Faster voxelpose: Real-time 3d human pose estimation by orthographic projection
Reference 74
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.
Observation 587118bc-ca7f-4a84-810a-7350ba8139a8 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Generating uniform incremental grids on so (3) using the hopf fibration.IJRR, 2010
Reference 75
Source-reported events for the cited work
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Observation a6db1a14-8a7a-44a2-a4fc-12350cff7475 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Hi4d: 4d instance seg- mentation of close human interaction
Reference 76
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Observation 5326f9e5-ebbc-4c89-97d1-98acec124cd0 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Mul- tiview human body reconstruction from uncalibrated cameras
Reference 77
Source-reported events for the cited work
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Observation 016c68dd-e1b5-46ba-bee9-9f92ba91f310 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Physdiff: Physics-guided human motion diffusion model
Reference 78
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Observation 8c1a6cdd-501a-4fd5-8aec-e4507c9aaea9 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Py- maf: 3d human pose and shape regression with pyra- midal mesh alignment feedback loop
Reference 79
Source-reported events for the cited work
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Observation 2c95c439-7f98-4877-b04a-acc7eefe84f9 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Pymaf-x: Towards well-aligned full-body model regres- sion from monocular images.IEEE Trans
Reference 80
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Observation 6a047d73-2273-49cc-999e-b71e359e324d · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Uncertainty- aware3dhumanposeestimationfrommonocularvideo
Reference 81
Source-reported events for the cited work
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Observation 7859a97f-96df-4a66-b366-94f1a59c80a9 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Probabilistic human mesh recovery in 3d scenes from egocentric views
Reference 82
Source-reported events for the cited work
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Observation 5fdc740d-81ae-407d-a8ca-a6dccc6957b9 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Objects as Points
Reference 83
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Observation d00c1dea-867d-42cd-82e0-3b1f8389123a · outbound
CondiMen: Conditional Multi-Person Mesh Recovery Monoc- ular real-time full body capture with inter-part correla- tions
Reference 84
Source-reported events for the cited work
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Observation 7da06394-ae4f-418d-81ea-57ebf8b14c76 · outbound
CondiMen: Conditional Multi-Person Mesh Recovery MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction
Reference 85
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Observation 0598e53e-eb6f-46fd-8417-58b18fa67c0b · inbound
Human Mesh Modeling for Anny Body CondiMen: Conditional Multi-Person Mesh Recovery
Reference 50
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