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Paper Citation Record · LEDGER

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors

As of 8 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2507.12336.

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

pith.paper-citation-record.v1
2507.12336 v2

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:54:45.097397Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

75 of 75 outbound references displayed

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  • verified fuzzy67
  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 600bfaa6-b442-4876-b188-23f368edbdb0 · outbound

This paper cites Label-efficient se- mantic segmentation with diffusion models.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Label-efficient se- mantic segmentation with diffusion models

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a56347aa-ee60-4cfe-a49f-09c435b1d548 · outbound

This paper cites unsupervised-disentagling.https : / / github.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors unsupervised-disentagling.https : / / github

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 91fc554c-e12d-47e1-8737-607aab04a9e1 · outbound

This paper cites 3d pictorial structures for multiple view articulated pose es- timation.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors 3d pictorial structures for multiple view articulated pose es- timation

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 844f2d6b-c060-4905-b83e-0fe415daca2a · outbound

This paper cites Unsupervised 3d pose estimation with geometric self- supervision.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Unsupervised 3d pose estimation with geometric self- supervision

Reference 4

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raw_fallback, observed 2026-08-06T16:54:45.793536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.878514Z digest=sha256:0a35a0dabdad0631a78861d2be581dc7a9e9fc5a3b3f37731bc151d7a21b9a47

Observation 36052c8f-7577-41da-90af-15ae7011cc7a · outbound

This paper cites Unsupervised part discovery from con- trastive reconstruction.NeurIPS, 34:28104–28118, 2021.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Unsupervised part discovery from con- trastive reconstruction.NeurIPS, 34:28104–28118, 2021

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f2481b3a-a529-4c92-a5c4-b80712ff44ea · outbound

This paper cites Google scanned objects: A high- quality dataset of 3d scanned household items.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Google scanned objects: A high- quality dataset of 3d scanned household items

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation eab28200-bd8d-4084-b56f-1daa753bfe09 · outbound

This paper cites Can 3d pose be learned from 2d projections alone? InECCV, pages 78–94, 2018.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Can 3d pose be learned from 2d projections alone? InECCV, pages 78–94, 2018

Reference 7

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raw_fallback, observed 2026-08-06T16:54:45.769369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.889276Z digest=sha256:e9077b8390dfda5876854fee5cffce1341d06da5b5907876773358b230304432

Observation d54cf6fb-050b-4094-bc2c-d6e0767d7f6e · outbound

This paper cites Gaussian frosting: Ed- itable complex radiance fields with real-time rendering.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Gaussian frosting: Ed- itable complex radiance fields with real-time rendering

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.893051Z digest=sha256:ae0c069f4fce1675fcc2e72eaf43598a06a1ad05ca0871cf45b333c00ae682ae

Observation 274b67db-543d-4ca7-8106-dffbacf5e12f · outbound

This paper cites Deepfly3d, a deep learning-based approach for 3d limb and appendage tracking in tethered, adultDrosophila.eLife, 8:e48571, 2019.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Deepfly3d, a deep learning-based approach for 3d limb and appendage tracking in tethered, adultDrosophila.eLife, 8:e48571, 2019

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1ead2554-ee4f-412b-80e3-650632d95b52 · outbound

This paper cites Deep residual learning for image recognition.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Deep residual learning for image recognition

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.898886Z digest=sha256:33a2fecc3bafcb6ea246a33668c027281a4ef12ae901ef32853f68c246fa8a21

Observation 54fcd3e8-dae4-4f71-9f6a-b035b3d21d77 · outbound

This paper cites LatentKeypointGAN: Controlling Images via Latent Keypoints.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors LatentKeypointGAN: Controlling Images via Latent Keypoints

Reference 11

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local_arxiv, observed 2026-08-06T16:54:45.150662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation df32b6d1-7749-4d63-935c-ba7b7946fa91 · outbound

This paper cites Autolink: Self-supervised learning of human skeletons and object out- lines by linking keypoints.NeurIPS, 35:36123–36141, 2022.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Autolink: Self-supervised learning of human skeletons and object out- lines by linking keypoints.NeurIPS, 35:36123–36141, 2022

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5a3d6d6d-2511-482e-a719-4ee8c0424311 · outbound

This paper cites Ganseg: Learning to segment by unsupervised hierarchical image generation.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Ganseg: Learning to segment by unsupervised hierarchical image generation

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.726236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.908585Z digest=sha256:d5d49cf44a729b3533d2dea52c6c7796d9e9d668362b3be3be44d37f4ecd0b5f

Observation 41567217-3815-41f1-abcf-cdb86b6d935e · outbound

This paper cites Unsupervised semantic correspondence using stable diffu- sion.NeurIPS, 36:8266–8279, 2023.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Unsupervised semantic correspondence using stable diffu- sion.NeurIPS, 36:8266–8279, 2023

Reference 14

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raw_fallback, observed 2026-08-06T16:54:45.717283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a3577097-3702-4626-ab48-dae2db58132e · outbound

This paper cites Unsupervised keypoints from pretrained diffusion models.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Unsupervised keypoints from pretrained diffusion models

Reference 15

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raw_fallback, observed 2026-08-06T16:54:45.706991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.915205Z digest=sha256:e5e8dbaf5407428ef4f40bda2b4ded87838dbda4f4f580d5fbd04c262a6dfa39

Observation f9798236-834f-4033-ae46-13253b24ec01 · outbound

This paper cites Unsupervised 3d keypoint discovery with multi-view geom- etry.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Unsupervised 3d keypoint discovery with multi-view geom- etry

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b574b38b-5442-4500-a556-c6deb4c01004 · outbound

This paper cites Scops: Self-supervised co-part segmentation.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Scops: Self-supervised co-part segmentation

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation aa31817a-d1a5-4f58-ac3f-be68e8a61804 · outbound

This paper cites an unresolved cited work.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9854f9a4-1bd3-4070-b1e1-687b91c1a027 · outbound

This paper cites Weakly- supervised 3d human pose learning via multi-view images in the wild.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Weakly- supervised 3d human pose learning via multi-view images in the wild

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation eeff1846-3b49-4258-aa67-3b7605f73bb8 · outbound

This paper cites Learnable triangulation of human pose.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Learnable triangulation of human pose

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.929591Z digest=sha256:f49c8cdba13f9f038c069f3381badf855cd752ea0c2065aed77d3432a2cf9656

Observation 5a892b0b-fe1a-46f5-8c9f-17e71e718d30 · outbound

This paper cites Unsupervised learning of object landmarks through conditional image generation.NeurIPS, 31, 2018.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Unsupervised learning of object landmarks through conditional image generation.NeurIPS, 31, 2018

Reference 21

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raw_fallback, observed 2026-08-06T16:54:45.655513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b0af075e-7ea8-4dde-8586-d9e0d531db5e · outbound

This paper cites Rupp, Evyn S.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Rupp, Evyn S

Reference 22

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raw_fallback, observed 2026-08-06T16:54:45.646736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation efa7cf98-ac30-4166-8a1f-21216d781585 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM TOG, 42(4), 2023.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors 3d gaussian splatting for real-time radiance field rendering.ACM TOG, 42(4), 2023

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.638824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bf304c4c-30c0-4511-9546-e7a1702d92a6 · outbound

This paper cites Novel dataset for fine-grained image categorization.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Novel dataset for fine-grained image categorization

Reference 24

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raw_fallback, observed 2026-08-06T16:54:45.628923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.942428Z digest=sha256:6a949571dc3ca19c12b1e995a86a71a41dc6e2c1ebbb574c668b958b9ec2db6a

Observation 1eb1494a-687d-41c8-96cd-e95cb775958e · outbound

This paper cites Unsupervised keypoint learning for guiding class- conditional video prediction.NeurIPS, 32, 2019.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Unsupervised keypoint learning for guiding class- conditional video prediction.NeurIPS, 32, 2019

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.619585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.945601Z digest=sha256:0d6eae37734f8be45edd2ba39250c955cd0e4b0273a37e3258ccf0cdf563e76c

Observation 64b70b43-a181-47af-ab8a-1c8d0bcb164c · outbound

This paper cites Self- supervised learning of 3d human pose using multi-view ge- ometry.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Self- supervised learning of 3d human pose using multi-view ge- ometry

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.610119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.948158Z digest=sha256:33a53e070f8c977a481fcc76be847570935badf362b7889fb151e3f1049dbb3b

Observation b384d3b2-7602-4b12-9d02-c96c35418558 · outbound

This paper cites Eschernet: A generative model for scalable view synthesis.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Eschernet: A generative model for scalable view synthesis

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.600074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.951318Z digest=sha256:2cee03e47d347cbfef9d9310f5372572f074d7bca67190b7c47021d805f5f541

Observation 34e5675b-3c36-4e2a-8d34-fb4c18478d80 · outbound

This paper cites Unsupervised learning of object keypoints for perception and control.NeurIPS, 32, 2019.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Unsupervised learning of object keypoints for perception and control.NeurIPS, 32, 2019

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.591908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.954067Z digest=sha256:6cd16c86df8f584074fc342963da4c7b3374f50a159094ec351acf3940b8e582

Observation 18f04a20-a92e-49ac-ad3a-a723f861d62d · outbound

This paper cites Self-supervised 3d human pose estimation via part guided novel image synthesis.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Self-supervised 3d human pose estimation via part guided novel image synthesis

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.583844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.957370Z digest=sha256:c283f8dea1ea89faa2f312c5f214121db3d73a13d9b3f7566ec641a5e41c9e30

Observation 596efd4c-4baf-4a88-9453-df52a74ee341 · outbound

This paper cites Kinematic-structure-preserved representation for unsuper- vised 3d human pose estimation.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Kinematic-structure-preserved representation for unsuper- vised 3d human pose estimation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.574338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.960444Z digest=sha256:a5f6fc6d87d2b1ef088fe0aa035d8b9b3d5b6b51dfd30e9ca1ed33854f432551

Observation f6b4721b-20ae-4a63-b5bd-41a08743730c · outbound

This paper cites 3d human pose estimation from monocular images with deep convolutional neural net- work.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors 3d human pose estimation from monocular images with deep convolutional neural net- work

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.564747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.963133Z digest=sha256:0a8ee7f2df654c00e05f5fe239446f4b78f48b51c5330900dca240688049a699

Observation ffb7d838-3b25-4dd6-987b-e4f091692e68 · outbound

This paper cites Geometry-driven self- supervised method for 3d human pose estimation.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Geometry-driven self- supervised method for 3d human pose estimation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.556078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.966162Z digest=sha256:202198ae7acb5d5ec6876898a37b4a3b971a5b2129ca879667d779437d33d75f

Observation 60ac9225-19b1-4ff3-a237-9ea90428a6f9 · outbound

This paper cites Multiple view geometry transformers for 3d human pose estimation.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Multiple view geometry transformers for 3d human pose estimation

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.544885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.968704Z digest=sha256:4a2abb9096fecc2268765da5a640c193251555e6493ca918d9939c4e55da4918

Observation b31fc2c3-a719-425e-bfbb-40cad54f7603 · outbound

This paper cites Syncdreamer: Gen- erating multiview-consistent images from a single-view im- age.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Syncdreamer: Gen- erating multiview-consistent images from a single-view im- age

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:44.971852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:54:44.971852Z digest=sha256:b857b82e3cfaa9c37d2757b94bcea55374ca1c7a2699a01ab4324cf88f4ddf9f

Observation 44385957-820a-4f83-9afe-8ae671b128d8 · outbound

This paper cites Unsupervised part-based disentangling of object shape and appearance.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Unsupervised part-based disentangling of object shape and appearance

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.530317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.974996Z digest=sha256:056c7ea3cef18a5c066427675012a647ecc533e7a1ffe2bbc32dcb43c77be888

Observation a02c7071-d310-4259-9103-fbfb83de62b7 · outbound

This paper cites Diffusion hyperfeatures: Search- ing through time and space for semantic correspondence.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Diffusion hyperfeatures: Search- ing through time and space for semantic correspondence

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.520619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.977622Z digest=sha256:fad47555d2f8c4ed0f7c2b23c56948ce067f182d4fac056a86599c00d13e8b18

Observation bac6a18f-d167-46db-9317-bd4a6c637c5e · outbound

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

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors A simple yet effective baseline for 3d human pose estimation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.510939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.980222Z digest=sha256:b2defbb5583896283630c3c6d4f3d0ac38f1a9594741864235f23f56ba7465e5

Observation 851966a6-239e-484d-811a-587075e8182b · outbound

This paper cites Unsupervised learning of object structure and dynamics from videos.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Unsupervised learning of object structure and dynamics from videos

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.498967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.983110Z digest=sha256:53c28459bdb7d6376de051da2ad79b021f4453c2c191c26cea9b5f2ed70e6752

Observation aabd093f-9add-42f7-93f7-dfbc8f90c007 · outbound

This paper cites V2v-posenet: V oxel-to-voxel prediction network for accu- rate 3d hand and human pose estimation from a single depth map.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors V2v-posenet: V oxel-to-voxel prediction network for accu- rate 3d hand and human pose estimation from a single depth map

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.488856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.985454Z digest=sha256:f1acb56ca72b1199fa090076de43b73a3a2f08e462c178d4a15c5a76932639be

Observation 5d368dd7-c1c1-4293-9745-3a5e693f3059 · outbound

This paper cites Emerdiff: Emerging pixel-level semantic knowledge in diffusion models.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Emerdiff: Emerging pixel-level semantic knowledge in diffusion models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.477544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.988472Z digest=sha256:1e1ecb35a2ee7c3a81326f5ea3c2893fe8dfca4eb4fd50c61b42f69c665ca809

Observation 2fc7eda0-fcd4-4d5e-b824-d2aeed2388c2 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors DINOv2: Learning Robust Visual Features without Supervision

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:44.990978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:54:44.990978Z digest=sha256:ba8c3d850d0fcb439f2302d36d97f1b19ae4f246f5b51658e2603251202b43be

Observation c140a581-430a-4590-8f19-5aaea3705803 · outbound

This paper cites 3d human pose estimation using convolutional neural networks with 2d pose information.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors 3d human pose estimation using convolutional neural networks with 2d pose information

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.467251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.994325Z digest=sha256:b7690073289289b001e3d00f7f57a1f555ba10c990891243c00cebc013d8912d

Observation 9413047f-9248-43e3-8bcd-d1bdd27af813 · outbound

This paper cites Harvesting multiple views for marker-less 3d human pose annotations.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Harvesting multiple views for marker-less 3d human pose annotations

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.458527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:44.997756Z digest=sha256:b07ae87787698b26b71c8b9137b27acdd3923b224d1a39b4923eec99a0bb1dcd

Observation d20b204d-0601-490f-9645-811e857ce7fa · outbound

This paper cites Perazzi, J.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Perazzi, J

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.448240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.000829Z digest=sha256:2301ea9f27e4fad003507fa6dcbe0b40b4d9ada805940c71e6d84f03abf29286

Observation 591942a7-0a4f-4386-bdae-7d4055fd426f · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Learn- ing transferable visual models from natural language super- vision

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.439671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.003364Z digest=sha256:a150a21c8137d1fe3408cd4ed6132fe1893bda11fde393612921dadeb5c1c3da

Observation a825af59-3fb4-4662-8f2b-2519804d65a3 · outbound

This paper cites Grounded sam: Assembling open-world models for diverse visual tasks,.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Grounded sam: Assembling open-world models for diverse visual tasks,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:45.006445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:54:45.006445Z digest=sha256:dee968a28496c1bed9a78a86ac7a3afc8e23f9e6cd2b3781710789d4af15596e

Observation 49e0a8df-5db6-4515-a4a2-5529c1aa9de2 · outbound

This paper cites Black, and Silvia Zuffi.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Black, and Silvia Zuffi

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.425397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.009363Z digest=sha256:909d6b062c464b3f0d70bc2034178086027b0817d62598ef7fe174ff671de1b4

Observation e2a1e5e6-d668-49cf-8c5b-8a509a03daa3 · outbound

This paper cites 3d human pose estimation: A review of the literature and analysis of covariates.Computer Vision and Image Understanding, 152:1–20, 2016.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors 3d human pose estimation: A review of the literature and analysis of covariates.Computer Vision and Image Understanding, 152:1–20, 2016

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:45.011770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:54:45.011770Z digest=sha256:c01854a859f5a199a7ca7223f5d162edeb02e4b2fa3687c5a3a2fcfa3409e40c

Observation bfd79a7b-ec8e-4569-bd22-c4267b321098 · outbound

This paper cites Animating arbitrary objects via deep motion transfer.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Animating arbitrary objects via deep motion transfer

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.412315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.014128Z digest=sha256:c6f4568a42b233ef77131a78ce675aeec8ed4a4c7db04958b31e35451d110374

Observation ab4ec296-3e85-44a8-9d18-062f15d1e648 · outbound

This paper cites First order motion model for image animation.NeurIPS, 32, 2019.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors First order motion model for image animation.NeurIPS, 32, 2019

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.402908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.016754Z digest=sha256:a33f67b63ee440f3bff2285b8dae7bcb7b2ced05bcab48c39026116e1c553757

Observation c15a96c3-6bb5-4934-8f5e-c54fc4e6ffe3 · outbound

This paper cites Motion- supervised co-part segmentation.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Motion- supervised co-part segmentation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.395884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.019617Z digest=sha256:527de4508657945b08ad74a48bd29568d142ea9db8422b1778a20bec0f2297f9

Observation f68c458b-6e67-4a63-85cc-7b439dfe5e7a · outbound

This paper cites Self-supervised 3d human pose estimation from a single image.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Self-supervised 3d human pose estimation from a single image

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.385782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.022288Z digest=sha256:77c9016ce7a9e0e9f4923a6e77b87666e359140abcc7ceb293cc0c07ed2af77a

Observation 721cdcb6-2295-44d5-94ff-c8ea84630cdd · outbound

This paper cites Self-supervised keypoint discovery in behavioral videos.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Self-supervised keypoint discovery in behavioral videos

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.376627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.025133Z digest=sha256:85cfc9904655f48f0eecdf6af28d01dc521e3d55f04f531fcd15258610b9d92e

Observation af504f8a-a416-4dc5-ac2d-b05a1440762b · outbound

This paper cites Bkind-3d: Self-supervised 3d keypoint discovery from multi-view videos.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Bkind-3d: Self-supervised 3d keypoint discovery from multi-view videos

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.366527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.028152Z digest=sha256:5ef5986558650ed073466792eafba97f830a62feeecc6afab57864151edacf77

Observation 7fd008ec-ee94-4201-bc65-ca409eb9c00e · outbound

This paper cites Integral human pose regression.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Integral human pose regression

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.357250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.030867Z digest=sha256:1bc444d023fec6c98499fc00d97e665319f62e4837081bd39656eac00f3e6529

Observation dd104d49-819d-40c9-b5a7-54dabd0288ce · outbound

This paper cites Discovery of latent 3d key- points via end-to-end geometric reasoning.NeurIPS, 31,.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Discovery of latent 3d key- points via end-to-end geometric reasoning.NeurIPS, 31,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.347170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.033297Z digest=sha256:25a712b12d7edef8a3adcc72a7065c993a2e93cd11469d33b3fc91d2f2957262

Observation bc2fa0d7-8a49-4765-a0a7-7f66070dba6d · outbound

This paper cites Emergent correspondence from image diffusion.NeurIPS, 36:1363–1389, 2023.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Emergent correspondence from image diffusion.NeurIPS, 36:1363–1389, 2023

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.336175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.036297Z digest=sha256:bd58d27f4a51773106c358fdfc0346945de5e20ae650ec9bf16b56173197dd7a

Observation 91656dec-4012-4137-bfd8-cf67df1e2c2c · outbound

This paper cites Unsu- pervised learning of object landmarks by factorized spatial embeddings.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Unsu- pervised learning of object landmarks by factorized spatial embeddings

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.325428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.039548Z digest=sha256:2489e849fde99c7b80ecedf3ae578887b24ba319bd238d268a87dd1f7b16d84e

Observation b89a981e-d746-4314-9e97-fa5e25161cec · outbound

This paper cites Metapose: Fast 3d pose from multiple views without 3d supervision.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Metapose: Fast 3d pose from multiple views without 3d supervision

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.315232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.042211Z digest=sha256:79b7e91bc1199729b634870810dc0ec2d46a059503d0931f73010a662e59e772

Observation 63e342aa-fc6a-4d00-b68b-f8d2a812d9c0 · outbound

This paper cites Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.305541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.046203Z digest=sha256:470cd179d9080927ce7583aa1e5604e65641dfa807bfd23661737d674a152460

Observation 1a125d26-3771-4533-8778-936fc61b7d64 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors The caltech-ucsd birds-200-2011 dataset

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.295937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.049716Z digest=sha256:0ac8ea142ca9ef47102d74e4173542512eea87c85f99b0d858c52919170a759c

Observation b26de1b1-02ce-42f6-b951-c5c034c9a3ec · outbound

This paper cites Repnet: Weakly super- vised training of an adversarial reprojection network for 3d human pose estimation.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Repnet: Weakly super- vised training of an adversarial reprojection network for 3d human pose estimation

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.284901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.052432Z digest=sha256:47def0cb6478f72dfa334f3483c24fb78c5b46fb218cf631761aba896f210749

Observation a8848561-c257-4137-9cf7-467a52a70ac0 · outbound

This paper cites Canonpose: Self-supervised monoc- ular 3d human pose estimation in the wild.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Canonpose: Self-supervised monoc- ular 3d human pose estimation in the wild

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.274565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.055865Z digest=sha256:f69e325862f94b6e91a19ec1b934488849d7f6c1df753cae10237ba4399cb59b

Observation affb6c32-f5ef-43b0-a070-4e6fa3ecb18f · outbound

This paper cites Ele- pose: Unsupervised 3d human pose estimation by predict- ing camera elevation and learning normalizing flows on 2d poses.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Ele- pose: Unsupervised 3d human pose estimation by predict- ing camera elevation and learning normalizing flows on 2d poses

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.264644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.059156Z digest=sha256:837947f28782d7f3498c7450004b73105a831106b369f90439f5265d91835b8e

Observation 3e1064d6-d90e-4dc1-922a-104f28967448 · outbound

This paper cites ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T16:54:45.062047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:54:45.062047Z digest=sha256:e74c21f96f68a97462c50d19ecad65d3f8b13605e5b336f5a6f3e457783d869f

Observation 5264f4eb-6b99-4a26-a353-f153729a5b9a · outbound

This paper cites Open-vocabulary panop- tic segmentation with text-to-image diffusion models.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Open-vocabulary panop- tic segmentation with text-to-image diffusion models

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.253973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.065262Z digest=sha256:0003b1183e0e4fce97bf1c4671b9bb8313ad66a4ace529cf19ae90ce2460c60f

Observation dfac2994-69da-4bce-bfc3-04f362a99600 · outbound

This paper cites Diffusion model as repre- sentation learner.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Diffusion model as repre- sentation learner

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.244528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.068499Z digest=sha256:c89b90d7f5a7a6693098309793fdb639897c583aaf98120f75bf0bf73b2abcce

Observation 29c4137e-caed-40cd-867d-6b3a125643b8 · outbound

This paper cites Mask-as-supervision: Lever- aging unified mask information for unsupervised 3d pose es- timation.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Mask-as-supervision: Lever- aging unified mask information for unsupervised 3d pose es- timation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.235942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.072751Z digest=sha256:65f4fa661301fe6870898def9287913fa60a1177d300a68a51d28e22a6aa76b3

Observation 95d7ff62-6b01-49aa-a068-6ea0996e394b · outbound

This paper cites Ap-10k: A benchmark for animal pose esti- mation in the wild.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Ap-10k: A benchmark for animal pose esti- mation in the wild

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.226919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.076116Z digest=sha256:1212d8385f7e728ba4c36321855c4920415c25bd44dab120b374104cd9a072d5

Observation da73eaae-1110-43d0-880a-181b3d0f5292 · outbound

This paper cites Exploring diffusion time-steps for unsupervised representation learning.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Exploring diffusion time-steps for unsupervised representation learning

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.217885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.078911Z digest=sha256:84ca1db83fdb908928b3298757cca5ce077352b15728a28fa49fc8df50143d14

Observation f50187fe-0b96-432e-a1f1-37d3aee1b44b · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.NeurIPS, 36: 45533–45547, 2023.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence.NeurIPS, 36: 45533–45547, 2023

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.208565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.081650Z digest=sha256:1f0c3d75f665a3b7626a1adc698315497552934f2ef4d2b2f9ed8b4e44b20d66

Observation 23496463-1b56-4a9b-bf2e-fc177785679f · outbound

This paper cites Unsupervised discovery of object land- marks as structural representations.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Unsupervised discovery of object land- marks as structural representations

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.197348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.085492Z digest=sha256:33da0bcde5ed83c036e97a4b3d647cbcfdacbfbb84fc87fd3d24324bf06c7ac6

Observation 30a528b8-8bd1-460d-8a10-b837aee164a8 · outbound

This paper cites Triangulation residual loss for data- efficient 3d pose estimation.NeurIPS, 36:12721–12732,.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Triangulation residual loss for data- efficient 3d pose estimation.NeurIPS, 36:12721–12732,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.186324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.089326Z digest=sha256:26a646219604daf78369e290be016c0beedc0d350aa15f943b2ade494e44b52b

Observation e2d1843b-cbfa-4061-ab6d-ec5267190eb6 · outbound

This paper cites Towards 3d human pose estimation in the wild: a weakly-supervised approach.

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors Towards 3d human pose estimation in the wild: a weakly-supervised approach

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.174846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.092531Z digest=sha256:b51ef005a4cbe2f493dc0ed74c9d786df7b3884a32908af35cbcad92d16a2aaa

Observation 200838d0-504f-40ff-9c51-7f73371f357f · outbound

This paper cites CUB-200-2011 comparison Baseline reproduction.Most unsupervised 2D keypoint methods [12, 13, 15, 35] report their performance on the CUB-align protocol introduced in [35].

Unsupervised Monocular 3D Keypoint Discovery from Multi-View Diffusion Priors CUB-200-2011 comparison Baseline reproduction.Most unsupervised 2D keypoint methods [12, 13, 15, 35] report their performance on the CUB-align protocol introduced in [35]

Reference 2017

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T16:54:45.164341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:54:45.097397Z digest=sha256:73d862295559a9ac4a8cd9e81d018f8bc10e99972812959ad0d5c3f9f5428c04

Pith citing papers

No inbound Pith citation observations are available.