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Paper Citation Record · LEDGER

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation

As of 20 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2411.16668.

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

pith.paper-citation-record.v1
2411.16668 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:55:26.381460Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

63 of 63 outbound references displayed

  • verified exact1
  • verified fuzzy58
  • unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fac44df-c218-440b-a8f0-f71b6792d807 · outbound

This paper cites Robotic continuous grasping system by shape transformer-guided multiobject category-level 6-d pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Robotic continuous grasping system by shape transformer-guided multiobject category-level 6-d pose estimation

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7dc31047-0017-436a-8412-2f916de4e7ab · outbound

This paper cites Challenges for monocular 6-d object pose estimation in robotics.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Challenges for monocular 6-d object pose estimation in robotics

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 07a2805a-0ae5-4c69-8f16-386451bbc741 · outbound

This paper cites Blenderproc: Reducing the reality gap with photorealistic rendering.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Blenderproc: Reducing the reality gap with photorealistic rendering

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3f1f4889-f7bc-4668-9ee3-b83fea050c56 · outbound

This paper cites Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 00a6a9a2-aa06-44de-8c0e-2416e16cef1f · outbound

This paper cites Hipose: Hierarchical binary surface encoding and correspondence pruning for rgb-d 6dof object pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Hipose: Hierarchical binary surface encoding and correspondence pruning for rgb-d 6dof object pose estimation

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a9f09ebf-49a0-4720-819a-b288b4cf08a5 · outbound

This paper cites Zs6d: Zero-shot 6d object pose estimation using vision transformers.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Zs6d: Zero-shot 6d object pose estimation using vision transformers

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.196879Z digest=sha256:526becf48dd26576980fd43b88762df8fdf735feb5c99386940e8bab5affe348

Observation 509b73c0-bc0e-4473-9b37-4d0f572bb113 · outbound

This paper cites Megapose: 6d pose estimation of novel objects via render & compare.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Megapose: 6d pose estimation of novel objects via render & compare

Reference 7

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raw_fallback, observed 2026-08-12T12:55:26.967264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 346390dd-e00c-4cdc-b5b1-6d30c22a23c2 · outbound

This paper cites Foundpose: Unseen object pose estimation with foundation features.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Foundpose: Unseen object pose estimation with foundation features

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ad4f0cd7-0a75-408a-8f88-18d856a966f2 · outbound

This paper cites Osop: A multi-stage one shot object pose estimation framework.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Osop: A multi-stage one shot object pose estimation framework

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cc78878b-4638-44a5-95a8-9a2dd8467759 · outbound

This paper cites Foundationpose: Unified 6d pose estima- tion and tracking of novel objects.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Foundationpose: Unified 6d pose estima- tion and tracking of novel objects

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e45aa4cc-adfa-467e-ba44-3ee5675244d1 · outbound

This paper cites Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 33d27e80-1250-4ddf-8999-dcea3de3f5f0 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Emerging properties in self-supervised vision transformers

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c1cbad52-0629-4b17-9b2f-f3da76aa4ff1 · outbound

This paper cites Epnp: An accurate o(n) solution to the pnp problem.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Epnp: An accurate o(n) solution to the pnp problem

Reference 13

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unresolved
no resolver link, observed 2026-08-12T12:55:26.219100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:55:26.219100Z digest=sha256:4ed6f301a4ca59f45606bddde26b763b4795f585969d62829df7b4e2b951760b

Observation 3dcb0a9f-ecec-42b1-97e3-19aea4db73f2 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation High- resolution image synthesis with latent diffusion models

Reference 14

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raw_fallback, observed 2026-08-12T12:55:26.909113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.222095Z digest=sha256:3d00330590075499b094194ab43fab2590474e0de2de22bb095d93422ad9e9fa

Observation 0b687f1e-3faf-4a82-9ee3-d28c0f496de7 · outbound

This paper cites A tale of two features: Stable diffusion complements dino for zero- shot semantic correspondence.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation A tale of two features: Stable diffusion complements dino for zero- shot semantic correspondence

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ea8ac15a-dfc8-4b36-a569-a80d6b388d64 · outbound

This paper cites Learning 6d object pose estimation using 3d object coordinates.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Learning 6d object pose estimation using 3d object coordinates

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.228284Z digest=sha256:8fcdd8d996d767393b94155ea4e086bac668b417c37d02f5d948fe9480a83d6e

Observation 9d35674e-be3a-4b2f-90e7-2a44152b84b7 · outbound

This paper cites Xiang, T.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Xiang, T

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b187bc13-65c0-4c69-8f88-56ce4899975e · outbound

This paper cites T-less: An rgb-d dataset for 6d pose estimation of texture-less objects.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation T-less: An rgb-d dataset for 6d pose estimation of texture-less objects

Reference 18

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.234360Z digest=sha256:e6d0589d70d160a9b880d0ceb96c02cabbc2769fa28cf0c62a4ee0656a916762

Observation ea817db8-9865-4fab-bc57-29cf34a75475 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation An image is worth 16x16 words: Transformers for image recognition at scale

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.237374Z digest=sha256:5e0b48a5e7ca0f2e86fd9c3edb7248032e3b46e056f757e656ccb0dc36d6610f

Observation 9711c090-942f-4723-acec-4cfb66067d17 · outbound

This paper cites Cad-model recognition and 6dof pose estimation using 3d cues.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Cad-model recognition and 6dof pose estimation using 3d cues

Reference 20

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raw_fallback, observed 2026-08-12T12:55:26.849786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.240438Z digest=sha256:303c047155e7c76756b4db05e05a6c68fc1db1cfd85ddb9e7e0dfaab8ba22ad4

Observation 6479493b-c954-4ab6-9846-18f51814ffe3 · outbound

This paper cites Pose estimation using local structure-specific shape and appearance context.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Pose estimation using local structure-specific shape and appearance context

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d87176ad-7aa3-4aa5-ad99-e32a294ae1c4 · outbound

This paper cites Model globally, match locally: Ef- ficient and robust 3d object recognition.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Model globally, match locally: Ef- ficient and robust 3d object recognition

Reference 22

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raw_fallback, observed 2026-08-12T12:55:26.830525Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.247426Z digest=sha256:4cc714beb3400e33a259b4d598963ed36b9bc88951d3d260a18d12b0283c13aa

Observation ba8e1a21-98b3-4254-9736-7dc9976788ab · outbound

This paper cites Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes

Reference 23

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raw_fallback, observed 2026-08-12T12:55:26.821335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e91d7379-77af-4e13-afb1-83ccc378d723 · outbound

This paper cites Faster and finer pose estimation for multiple instance objects in a single rgb image.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Faster and finer pose estimation for multiple instance objects in a single rgb image

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.811457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.254324Z digest=sha256:1e739380fdffeeec85790c1326147ecc24ea9894eb423afe2d3b533a3653de2e

Observation 810f6b3e-7253-4d92-8574-9a9ec0318d25 · outbound

This paper cites Irpe: Instance-level reconstruction-based 6d pose estimator.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Irpe: Instance-level reconstruction-based 6d pose estimator

Reference 25

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raw_fallback, observed 2026-08-12T12:55:26.800144Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.257395Z digest=sha256:ec0cca0361ccd68ea9498fe983b624299d2eae378593d6a9f71bcb3c8278a35a

Observation 30657a46-2c65-4284-9df1-22ac4308b082 · outbound

This paper cites Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.260886Z digest=sha256:74880cf7f063f9a0863cbcfa1852ed59f3a8246208a57a7d960b93fed731ea08

Observation 27efa765-fe94-431a-b352-ba579658ba22 · outbound

This paper cites Cosypose: Consistent multi-view multi-object 6d pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Cosypose: Consistent multi-view multi-object 6d pose estimation

Reference 27

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raw_fallback, observed 2026-08-12T12:55:26.779964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.263969Z digest=sha256:7ce52faab252b92de0717d3f993b71a9b0d315673acddb37591eeb561835bd06

Observation f06bd149-1f70-4b04-a91f-42ce460e0089 · outbound

This paper cites A dynamic keypoint selection network for 6dof pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation A dynamic keypoint selection network for 6dof pose estimation

Reference 28

Resolution
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raw_fallback, observed 2026-08-12T12:55:26.769804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.266934Z digest=sha256:fa3f88919bc0d788d8e581326452120d6288a91f30f2317855cae3293620a109

Observation f2ac44ca-2316-413a-9c87-f8e39bdbca86 · outbound

This paper cites Real-time seamless single shot 6d object pose prediction.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Real-time seamless single shot 6d object pose prediction

Reference 29

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raw_fallback, observed 2026-08-12T12:55:26.760141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.269923Z digest=sha256:23a4e5f4a749b2b1de9d281225f2cfa431927b78ec64bb1a8db7e4506a7778e6

Observation 47cb45d3-121f-46a6-91b9-02cd8a101403 · outbound

This paper cites Gdr-net: Geometry-guided direct regression network for monocular 6d object pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Gdr-net: Geometry-guided direct regression network for monocular 6d object pose estimation

Reference 30

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raw_fallback, observed 2026-08-12T12:55:26.750163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.273786Z digest=sha256:09b90568b33aed5a56e9611b884debf7078f8b9f9d9e8237dfa617d0883631b1

Observation e17c9e79-f244-4d64-a0ab-9c52a0e34673 · outbound

This paper cites Oa-pose: Occlusion-aware monoc- ular 6-dof object pose estimation under geometry alignment for robot manipulation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Oa-pose: Occlusion-aware monoc- ular 6-dof object pose estimation under geometry alignment for robot manipulation

Reference 31

Resolution
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raw_fallback, observed 2026-08-12T12:55:26.740834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.277514Z digest=sha256:7c2c3f7e4245fb060db35aa97b3104f17d70b252fb723dc92bf1c4575fb56d3f

Observation ee71cfe4-2db8-4ed8-9ee1-768433e3ddf9 · outbound

This paper cites Multiple geometry representations for 6d object pose estimation in occluded or truncated scenes.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Multiple geometry representations for 6d object pose estimation in occluded or truncated scenes

Reference 32

Resolution
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raw_fallback, observed 2026-08-12T12:55:26.731098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.280577Z digest=sha256:c0a9934871ca5a17f584e61716a3d110e3acb3d7c62928709d63b2fa3928823b

Observation 60624c89-c254-4422-aa6b-de4a6580fc5b · outbound

This paper cites Geometric-aware dense matching network for 6d pose estimation of objects from rgb-d images.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Geometric-aware dense matching network for 6d pose estimation of objects from rgb-d images

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.721038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.283791Z digest=sha256:08895fb99502ed0376ef927371cb66f0775e36893934f22fe9d8eb25253f7052

Observation cef48ae1-adf4-4a05-b945-0e2fb9f31d1a · outbound

This paper cites Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.710707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.286946Z digest=sha256:2daa46a9f8764720c25967142c82fd8b2b20127e3389feb3609d1d512206abd7

Observation fef13deb-9572-4f5f-a866-5852dea950bb · outbound

This paper cites i2c-net: using instance-level neural networks for monocular category-level 6d pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation i2c-net: using instance-level neural networks for monocular category-level 6d pose estimation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.700697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.290771Z digest=sha256:f2eccbfde5e31fc11f3c211d5b3d1f10bb23626c7262ef4d83a1e28bc77ec465

Observation a4ad80ea-f634-45c5-82e4-d9872518323b · outbound

This paper cites Normalized object coordinate space for category-level 6d object pose and size estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Normalized object coordinate space for category-level 6d object pose and size estimation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.691332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.294290Z digest=sha256:bfd7fdfff843fe95e74c7054a857cda307f273b4d2f5b9aaaf0d3067b669a88b

Observation 11df4b99-f327-4c57-acd8-fdd849050869 · outbound

This paper cites Templates for 3d object pose estimation revisited: Generalization to new objects and robustness to occlusions.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Templates for 3d object pose estimation revisited: Generalization to new objects and robustness to occlusions

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.681602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.297516Z digest=sha256:f2584e5d6b6c09b5f4ddc6887626a8f385b411b842d3ba3452f31ec8e578133b

Observation a85a6e07-4639-46db-b267-2aac3fbd70ab · outbound

This paper cites Self- supervised vision transformers for 3d pose estimation of novel objects.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Self- supervised vision transformers for 3d pose estimation of novel objects

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.670651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.300522Z digest=sha256:932f7d0c45c599a9f7e8c652457b03016a75fc2298a76fc84c6a604c9d033e2e

Observation b7a77d79-9564-4902-a5cd-aa4d1e2b8d64 · outbound

This paper cites Zero-shot category-level object pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Zero-shot category-level object pose estimation

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.660754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.303605Z digest=sha256:cab0cb16ab41cd1634bd48304ece1d563c2b25144c576e1b8e98b49c26e4ea68

Observation f49ca186-0d84-43cb-a338-f913c4619454 · outbound

This paper cites Gigapose: Fast and robust novel object pose estimation via one correspondence.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Gigapose: Fast and robust novel object pose estimation via one correspondence

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.649897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.306384Z digest=sha256:9f2998b51737f1572445e7b5cb34bd823e9e671ad7fed01c9c980d3224cfc209

Observation 798107a3-7084-40f5-af3e-ce4c04702889 · outbound

This paper cites Sam-6d: Segment anything model meets zero-shot 6d object pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Sam-6d: Segment anything model meets zero-shot 6d object pose estimation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.640420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.309683Z digest=sha256:cd680a61e0097fbb8452ef4555e21d61b6adb7c7e1ced3ea639408afa3b3eb5f

Observation f5ca74b6-fa96-4328-851d-51ad305ff7bd · outbound

This paper cites 6d-diff: A keypoint diffusion framework for 6d object pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation 6d-diff: A keypoint diffusion framework for 6d object pose estimation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.630352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.312723Z digest=sha256:7805488a5494db587d5bbf009ae38aaa79710ede0bc773dde10c1b7e74590af7

Observation bd2de4a1-b1dd-46d6-9b45-4f1afe873d9d · outbound

This paper cites Secondpose: Se (3)-consistent dual-stream feature fusion for category-level pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Secondpose: Se (3)-consistent dual-stream feature fusion for category-level pose estimation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.618817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.316160Z digest=sha256:ec69df28cf155a0c931b004b855c8f3c4ae119a14c0aa07155ae6e6c7de99ced

Observation 8a30b4d3-b22f-4e8d-907b-38b454f29cc2 · outbound

This paper cites Segment anything.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Segment anything

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.608643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.319684Z digest=sha256:57b4fbe2c41f7dbfe27a576f1d0e6f1c1b0145226d5c006d155a6d9b9ac11515

Observation 5c35ee50-8a5f-4ad1-af78-2bf171e4ae43 · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Dinov2: Learning robust visual features without supervision

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.598180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.322976Z digest=sha256:044d1d49e0e8a8c9ec53414e40e87ab16a074881c0a23881c6401d04474f3be9

Observation bd92e03b-da1f-4c7a-8c42-182bc1f15ace · outbound

This paper cites A general protocol to probe large vision models for 3d physical understanding.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation A general protocol to probe large vision models for 3d physical understanding

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.588163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.326752Z digest=sha256:f64064b620183d674db3c4a1dede003603f85fc015fd52dcda0f919ca7ef787c

Observation 69193c81-1526-4cae-8d8b-5a547520057d · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.577727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.330206Z digest=sha256:283a9a24f07a58c8975f92b3157a3c8e131ae988eb9716ae13cc726c726fe061

Observation 787dbc79-55de-44e4-8557-0c6c36fdbde0 · outbound

This paper cites Glipv2: Unifying localization and vision- language understanding.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Glipv2: Unifying localization and vision- language understanding

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.566927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.333231Z digest=sha256:712597de9654a0225f46d69956ab12033b77022954e90ad7f64d75f42787fde0

Observation 5d33a8ac-ab6f-4425-ad85-164e25f80e45 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Open x-embodiment: Robotic learning datasets and rt-x models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.556275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.335893Z digest=sha256:5e7097c526a65b427af445e0236068919a9b883bbc9eb6112435e185e1722a1a

Observation 7524413e-9d48-4609-9d38-63a84a4ba51c · outbound

This paper cites Denoising diffusion probabilistic models.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Denoising diffusion probabilistic models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T12:55:26.338799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:55:26.338799Z digest=sha256:2c71feecc3e8efbff4735cd99fd507310cd59fd252fb66d4494282073fd74af2

Observation 31804923-4609-451d-a0ae-305851ce8ad1 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Repaint: Inpainting using denoising diffusion probabilistic models

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.539063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.341503Z digest=sha256:e2be749b2b072bb16e8cf5928c4d0bc02cf90112f075e69bec598602d4ec0940

Observation b75e3dbd-1db3-415a-bf1b-8b252579def9 · outbound

This paper cites Implicit diffusion models for continuous super-resolution.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Implicit diffusion models for continuous super-resolution

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.528881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.344698Z digest=sha256:25d0c8b11c044c6a9e8dc1d0a2c5ab8ec9ca96f042baba054b7dc1e0c70ab06c

Observation 60c68042-e4ac-4859-8108-c2cfa552fc68 · outbound

This paper cites Inversion-based style transfer with diffusion models.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Inversion-based style transfer with diffusion models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.519133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.348131Z digest=sha256:043d3187ffd116a9b6f3efcefb77bf63291708cabe5385ce3a602855e9bcbacd

Observation 4d2357f8-9ece-494c-9c09-1d2aa38fd786 · outbound

This paper cites Diffusion hyperfeatures: Searching through time and space for semantic correspondence.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Diffusion hyperfeatures: Searching through time and space for semantic correspondence

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.509418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.351375Z digest=sha256:c68a0db5da275a31b00e22a95eee896142327833db666ccd8568a63db927a12a

Observation 76c3d44c-a626-43fc-88be-b54cfb21975e · outbound

This paper cites Click to grasp: Zero-shot precise manipulation via visual diffusion descriptors, 2024.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Click to grasp: Zero-shot precise manipulation via visual diffusion descriptors, 2024

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.498857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.354759Z digest=sha256:216185b0476548774350b284ed3796b73050777611e80e1ff825dcbb4ca89d98

Observation b432c5a4-72f5-460c-909a-e1afc173d43e · outbound

This paper cites U-net: Convolutional networks for biomed- ical image segmentation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation U-net: Convolutional networks for biomed- ical image segmentation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.488340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.358372Z digest=sha256:2886b517aaa280a7771d64ec55b6e3d4744a1bdf5b9ebf57c75e6ed75240ea6d

Observation 3130400e-c2fc-4ed5-bfda-147a7769e4de · outbound

This paper cites Multiple View Geometry in Computer Vision.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Multiple View Geometry in Computer Vision

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.478756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.361205Z digest=sha256:be3fec73b2d8baadadacba3ff10721537c80c3e4dc9b288790ab2c4bad724d42

Observation 311a2e21-77be-487e-908d-33fa9c6db30d · outbound

This paper cites Cnos: A strong baseline for cad-based novel object segmentation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Cnos: A strong baseline for cad-based novel object segmentation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.467862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.364220Z digest=sha256:6ca16ab9b6a29a0ea5a4b889c67643eebeb67d466f3ea8f0b0ccb68bdba12645

Observation c360c71f-464f-4c13-8032-fe5731f9e638 · outbound

This paper cites Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.458220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.367868Z digest=sha256:eab937fb37d3da37986489f281c1ed0384d9f89a2aa101ddecc9f928711b95f0

Observation 82084d06-2378-40a2-85fc-daddf1493289 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.448204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.371685Z digest=sha256:cd67122eff0e82d894d208ce2b2637178e36a54d6f36cbbdc0d05ab59b1f391e

Observation 37da5593-f2cb-44cd-bc0f-b1242ee7afba · outbound

This paper cites 3D-aware Image Synthesis via Learning Structural and Textural Representations.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation 3D-aware Image Synthesis via Learning Structural and Textural Representations

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:55:26.410745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.374726Z digest=sha256:8ac5e2af00cce97a7d7dbce29075adc43b869c32411afd14d68e3bc07f375909

Observation c43f4af4-0d3d-4e58-a1cf-f2d833a17c03 · outbound

This paper cites Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-12T12:55:26.378360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:55:26.378360Z digest=sha256:e03e6d43b99bfe6b7f6010cba7014bf0fb1e3b18372e944eced4ce6550efa31d

Observation 6cba4d07-1bd5-4a97-a485-394c193d179a · outbound

This paper cites Telling left from right: Identifying geometry-aware semantic correspondence.

Diffusion Features for Zero-Shot 6DoF Object Pose Estimation Telling left from right: Identifying geometry-aware semantic correspondence

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T12:55:26.431702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T12:55:26.381460Z digest=sha256:b302b1a2ed17e9c9f206b4a630d18ba1dbcbf02e19357032e6170bba64a16c8e

Pith citing papers

No inbound Pith citation observations are available.