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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.878514Z digest=sha256:cae3dcd1912667fe022191c7bd081eb4fd65a9a48c2bc7ec47025c8096de88e3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.882482Z digest=sha256:ef48165909f50d042352d1b817ab2e01b0cb14901e79cae25a801da67311f555

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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raw_fallback, observed 2026-08-06T16:54:45.777881Z

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 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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.889276Z digest=sha256:ca6ee536f449e93f8f62843d33a47673483da8cb6425cc54caefeaefc54de44e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.893051Z digest=sha256:95167cea64e46a7eb06a4bd37a97672bd321651b3e3c8b91d9d4ebf435347227

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.896205Z digest=sha256:9655e7da668c3b32ad91bda0d2449d489986a4b0227496a44b083ae73a9b1711

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.898886Z digest=sha256:22860ff8e8886cb0d4579da6a1291bb65bb026797196359a456bd016e3d620ad

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 2026-08-17T06:30:58.91139+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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:54:45.736161Z

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=pdf_text observed=2026-08-06T16:54:44.905205Z digest=sha256:eb793544b9ca8f30379307b2f9a9b6f02a5991ca60c56df206d208d73a89af60

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.908585Z digest=sha256:a2788f12bef088a3de697a2c5642b012ba3f9b4bbf43f57475e78ed713116567

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.911971Z digest=sha256:e291c8d9ac8e00c2df91274424229d9c1de880f541bbdf83ddcc258babe0a886

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.915205Z digest=sha256:ceaff05f9720df03731ddc918d0573d87f1a37bea0b362b775a9518c97fd7c48

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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
raw_fallback, observed 2026-08-06T16:54:45.671955Z

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 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

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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 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.939791Z digest=sha256:dfeff7cb78954bf9dbd7ff904893ad80924ac34b3b049dac45144882b5b8b782

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.942428Z digest=sha256:ae204bd740ae89ab568e5963ff25079f1c9dbf971b6a7d63bdffd097acb7eabe

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.945601Z digest=sha256:dec1087d0f0f58f8cbd7ab7b850e821065a905be4abeaa702fae9640f5dc50e1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.948158Z digest=sha256:85febd5a0c1e3096eab7b21937b37784261e02f4cc6440cecfa6d39f9a84d4e9

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.951318Z digest=sha256:6fe2e91869eef0eb05107cd6b703717c1f6a0e296d67540e393e5d948c2e867e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.954067Z digest=sha256:70e454714c054e641a6e4a4eb325e2381eed360e28fb800ba5f375f71ed8650f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.957370Z digest=sha256:1adcd16a2f7c825720e2ffb79b920f9339d322100c3e59523cf8b3b50489a114

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.960444Z digest=sha256:ff10723ae574b364640b0439048193f3d1b30e41d668e97a0b6b9666b9e00b3b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.963133Z digest=sha256:46a79d5cbf4c780be8f660b8613df9e553260af8476b0715dc1af92a4f2af68a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.966162Z digest=sha256:c3845f34beb43fe705701764766c9dd2b1d3a2d9dcdd29568348e42c9f16de49

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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.968704Z digest=sha256:c860728f1ae08ba6eb2bbb9d2d017460aa132053a8ef831435afa94a7067f76a

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=sha256:6e70494b523fef6eb79769f6005fc60af7b6cf75db6944abdad48f226352a1fb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.974996Z digest=sha256:7042c3bf33be6dd1433e0036314ce4f0ba95ffd285527644055afcc6e3fad2c1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.977622Z digest=sha256:db30001c78e4836b9ef4978bc8b193696a904ff34ad41252989bffc4c8d1e3b9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.980222Z digest=sha256:41b6fe1c1dbf94efb525bdad67dd2217a43f75a39b22caf618f5141ea43b1ac2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.983110Z digest=sha256:0a25cbbc5351664ebd536d232780f0b24f9447a47b95632881918669d043d644

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.985454Z digest=sha256:08789dbfdacc6f3b79b432c7de92dccf373e9724695e9bf9e2f4ebdb65cc63bb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.988472Z digest=sha256:c350240bc84b37a84e2ccc66e1336861fe6b5d6789886ab2745d9801ef6c3c48

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=sha256:97321ed0cb614f4d382baca367995e32fe6945625c4375590553bd4d744557d2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.994325Z digest=sha256:111776a3a3fccb4f7de37f14b026dcef576bb22ab41e259e9bd695b145be50f2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:44.997756Z digest=sha256:12c126ad1f7ad6e692bd9504279b0983994b96454a6f87f3324d85c32b35c9ca

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.000829Z digest=sha256:766aedf84bf20631dc4767c156a8e46cd90c6c945c6be590ea2b91659dc59af5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.003364Z digest=sha256:382feeecbfaced4e6643a3e18f8c44b59d94e616b318033bbc548852dc75c0ea

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:d676898942b3579f56a9e0c8185d8963e1703846eb190c8ea2cb48f13b43013b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.009363Z digest=sha256:6ea7f7451b48364cef4b98b92d8e6f973b33b12c4b8763cbf59e1d40447d9137

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=sha256:88a723828b534fc36e6e72746e6df14c102e7a785ac2da973174454172f34e0d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.014128Z digest=sha256:f8776fa3aa4649f2c68ab4e3cbe3804673414a1092281ec34e2c684ff41f4469

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.016754Z digest=sha256:f14c353054b086f7c3315638c505ca657cae046423b2566aa2c10f9797aabd65

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.019617Z digest=sha256:8dd5871a12715faad9226c3041c866cd5d2778c8d032e715567113356ba66b6d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.022288Z digest=sha256:e0dcac0c28fd7c47bddabb38cb0380cde8158368ab3b784185bcc17057cefade

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.025133Z digest=sha256:76222295a537868da0aac42b209cff29c852f397f2b4d61656993ba2b750ddbf

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.028152Z digest=sha256:f73b302e450d700c5c9f0b9077fc2d80e6c0fd0a2dd727120ec1d47a0392a9aa

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.030867Z digest=sha256:56d62c7347dab4c5b5e233a96e165e574a4011cd6e3e27be8e59494343892727

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.033297Z digest=sha256:bad72ae8558b8b893dd2f29da5041997bcafc55d79b18a37bca8f5cafa023d93

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.036297Z digest=sha256:329ea10043517c4cd74e07414a1ab7320a4f183a01f82cf15d9b9043b233fc9b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.039548Z digest=sha256:7fc33f65519fb80d118b20998c3765d688df7a83c1770809c6a1219e6360ac46

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.042211Z digest=sha256:452dda9101e764fc2d980c6585c05b2d33d88f2a519e88a13bb1cd06d690c80f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.046203Z digest=sha256:7d9f9929f650b021cf21db1f2acd1c6873f9f4f1120ece3f5b60ebe41b081ea9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.049716Z digest=sha256:31207def08c95034a1a4cf47bf787f296e81c8a8460d920a9ab196a981711640

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.052432Z digest=sha256:5765ec78bd21472197d9a373ace589280c35922f72db5661dc8459979ef29f8a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.055865Z digest=sha256:ffefb547380dae6dc52a835bdbb96cac28b60dbdab0cf6d546633e64e2d64b6e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.059156Z digest=sha256:7ef79c9be6b6e00d5866696bc845fb022fbed755744644ee52678d673cdbf3a8

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=sha256:0636623477521a96edb63816b8a1d3bc8ce08ff46739c6203043d01f8a99d976

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.065262Z digest=sha256:c573e300d91bcd609d114ce9b90330c92287f717e16f8e250eb71c4f8c4855b8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.068499Z digest=sha256:f40c66604a3d29c68e69cec5e0dd2d16abe40199364127f0a9d599affc0d75a4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.072751Z digest=sha256:dd31873c44fab8f5168115888f3759c2f4c26ba4d83f053ee3176eac44c5b42e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.076116Z digest=sha256:dce9a897f4c10c9e1e7f7db55c9ed1a03b26bb7881a39bc5c1f908adfea22b7b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.078911Z digest=sha256:6d0342987cbe3ac6fdc22d2ddfeab38382048d75a82171bc5004ba5c81fac950

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.081650Z digest=sha256:0144508e322051991b1d62fe3a4607a30c581459e0b5178a85766c2404255328

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.085492Z digest=sha256:abcb64602ec987a018ed64387bf3745c10dd2ea1aeb82f2de6693311377fe0d8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.089326Z digest=sha256:25532d263efca97a7d3ee15576f92889a67da31276047026391eda8b4b0ecb9e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.092531Z digest=sha256:4b3c408403b0843a840e09375f63f106cd04c98cba8e90d1630115dca480da8f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T16:54:45.097397Z digest=sha256:530420884125781829cbd2910d5f232f91296910fd2df3be2918edab49494088

Pith citing papers

No inbound Pith citation observations are available.