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Paper Citation Record · LEDGER

Dynamic Camera Poses and Where to Find Them

As of 21 August 2026, this Paper Citation Record lists 100 of 113 outbound references and 0 inbound Pith citation observations for arXiv:2504.17788.

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

pith.paper-citation-record.v1
2504.17788 v1

Coverage vector

measured 100 of 113 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:35:51.849180Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

100 of 113 outbound references displayed

  • verified exact0
  • verified fuzzy58
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3713454-c6be-4fd1-b401-1d2a939391ab · outbound

This paper cites Human- to-robot imitation in the wild.

Dynamic Camera Poses and Where to Find Them Human- to-robot imitation in the wild

Reference 1

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Observation 3a02b3ee-76a9-4610-9352-d2f93b90229f · outbound

This paper cites Tc4d: Trajectory-conditioned text-to-4d generation.

Dynamic Camera Poses and Where to Find Them Tc4d: Trajectory-conditioned text-to-4d generation

Reference 2

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Observation 50302898-4b6e-4c2d-8b25-4ab9a1d31a0f · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

Dynamic Camera Poses and Where to Find Them Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 3

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Observation 85554c8d-901f-4587-9189-c3e24a861f0a · outbound

This paper cites Arkitscenes: A di- verse real-world dataset for 3d indoor scene understanding using mobile rgb-d data.

Dynamic Camera Poses and Where to Find Them Arkitscenes: A di- verse real-world dataset for 3d indoor scene understanding using mobile rgb-d data

Reference 4

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source=pdf_text observed=2026-08-16T10:35:51.461634Z digest=sha256:9d340f909be42f3cd664f903c94754556a1ca2d8449ddf0d30becf3adf589f72

Observation df477c27-7627-4176-9baa-9114be6f8f9c · outbound

This paper cites Stable video diffusion: Scaling latent video diffusion models to large datasets.

Dynamic Camera Poses and Where to Find Them Stable video diffusion: Scaling latent video diffusion models to large datasets

Reference 5

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Observation df17ff6c-9100-470e-818b-555c8876c0e1 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

Dynamic Camera Poses and Where to Find Them Align your latents: High-resolution video synthesis with latent diffusion models

Reference 6

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Observation 90537f0b-e979-4656-b4f7-be7026053294 · outbound

This paper cites Richter, and Vladlen Koltun.

Dynamic Camera Poses and Where to Find Them Richter, and Vladlen Koltun

Reference 7

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Observation 8e4497c9-b97e-4d10-90a4-e6ac3f90c510 · outbound

This paper cites Video generation models as world simulators,.

Dynamic Camera Poses and Where to Find Them Video generation models as world simulators,

Reference 8

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source=pdf_text observed=2026-08-16T10:35:51.477772Z digest=sha256:dff4dbf030275a2341a632d54ab203b7cfbeca587f67d78dc67723d0788797d8

Observation 68fe1160-a69e-4f4c-a868-6cd4dd08807d · outbound

This paper cites A naturalistic open source movie for op- tical flow evaluation.

Dynamic Camera Poses and Where to Find Them A naturalistic open source movie for op- tical flow evaluation

Reference 9

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source=pdf_text observed=2026-08-16T10:35:51.481715Z digest=sha256:a82afb81b307a00bd56ae951d21f83af26678277588c5d87128469ea6f354259

Observation c38d6e80-001d-4d27-b3e2-0be109833f43 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

Dynamic Camera Poses and Where to Find Them Efficient geometry-aware 3d generative adversarial networks

Reference 10

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source=pdf_text observed=2026-08-16T10:35:51.485240Z digest=sha256:9285926fdf939eb6d66087253f689d92503a894eeaafbad970b699e179dc0ee5

Observation 3b1bc958-37d5-4230-b12d-21929d2a797a · outbound

This paper cites Matterport3d: Learning from rgb-d data in indoor environments.

Dynamic Camera Poses and Where to Find Them Matterport3d: Learning from rgb-d data in indoor environments

Reference 11

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source=pdf_text observed=2026-08-16T10:35:51.489111Z digest=sha256:37180e5aeb33f583bd25be758948a3c8de9ad329db7b99f1b761f9b784ae1964

Observation 50b9ca08-c33d-4c36-8d3d-c8f7afcfa495 · outbound

This paper cites Panda-70m: Captioning 70m videos with multiple cross-modality teachers.

Dynamic Camera Poses and Where to Find Them Panda-70m: Captioning 70m videos with multiple cross-modality teachers

Reference 12

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source=pdf_text observed=2026-08-16T10:35:51.492942Z digest=sha256:b59f24f2bd1e52c9e8ee6a45dab9c863fa08f94ccfd2e1cb8a1eda713e3910aa

Observation 1dd7b401-97be-4c84-a521-d7bc1f778fc2 · outbound

This paper cites Leap-vo: Long-term effective any point tracking for visual odometry.

Dynamic Camera Poses and Where to Find Them Leap-vo: Long-term effective any point tracking for visual odometry

Reference 13

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source=pdf_text observed=2026-08-16T10:35:51.497297Z digest=sha256:9e898305d6cbedf0d7f4536d48a369f30a2277fba93e79baae11c235e119c651

Observation 6c3e3e28-8b9b-4f6b-921c-f16264627b46 · outbound

This paper cites V3d: Video diffusion models are effective 3d generators.

Dynamic Camera Poses and Where to Find Them V3d: Video diffusion models are effective 3d generators

Reference 14

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Observation 98fb992e-ef83-493d-a2bf-c4499c1561b7 · outbound

This paper cites Putting the object back into video object segmentation.

Dynamic Camera Poses and Where to Find Them Putting the object back into video object segmentation

Reference 15

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source=pdf_text observed=2026-08-16T10:35:51.505824Z digest=sha256:79a2b6c1795eabc48e3a569924b2972835e15ae0bea3acc8d37683be7eccdc6d

Observation 2a79ce31-90f6-4439-b0a5-ac052a115fed · outbound

This paper cites Towards a richer 2d understanding of hands at scale.

Dynamic Camera Poses and Where to Find Them Towards a richer 2d understanding of hands at scale

Reference 16

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source=pdf_text observed=2026-08-16T10:35:51.509656Z digest=sha256:c2578f025b5a254f35dae6d33f0a317e13e96b46a62594238aefa78b71441288

Observation 319cef76-4f3f-41bc-922c-43be48a43fb0 · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

Dynamic Camera Poses and Where to Find Them Objaverse-xl: A universe of 10m+ 3d objects

Reference 17

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source=pdf_text observed=2026-08-16T10:35:51.513734Z digest=sha256:b16c0ca407e8f591497f6ca93771f24ca056f07e7f64840300a94feb74c10ed0

Observation c2351cf3-6c8a-4241-afb3-cc12750e17ea · outbound

This paper cites Superpoint: Self-supervised interest point detection and description.

Dynamic Camera Poses and Where to Find Them Superpoint: Self-supervised interest point detection and description

Reference 18

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source=pdf_text observed=2026-08-16T10:35:51.518194Z digest=sha256:5ed6e05f3fb5c128a9528bd88af6ef6daac6f58e8a4c3361601a8f3cf77855cb

Observation ad13c087-7e47-410f-8c54-0d0a86fb784b · outbound

This paper cites Tapir: Tracking any point with per-frame initialization and temporal refinement.

Dynamic Camera Poses and Where to Find Them Tapir: Tracking any point with per-frame initialization and temporal refinement

Reference 19

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source=pdf_text observed=2026-08-16T10:35:51.522974Z digest=sha256:da5cba14d01aca62b740baa25425676a186b68ba393586fc8aeb184108a6e46f

Observation eccf24a0-09f9-45eb-b66d-3617228b72d4 · outbound

This paper cites Bootstap: Boot- strapped training for tracking-any-point.

Dynamic Camera Poses and Where to Find Them Bootstap: Boot- strapped training for tracking-any-point

Reference 20

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source=pdf_text observed=2026-08-16T10:35:51.526711Z digest=sha256:8c21544f0d9c67ecfe727fbd994d9bda5f42cb803149d4f454e3c365913fa56d

Observation e2538f9c-1170-4699-95f4-6d5e9eb50e7e · outbound

This paper cites Mast3r-sfm: a fully-integrated solution for unconstrained structure-from-motion.

Dynamic Camera Poses and Where to Find Them Mast3r-sfm: a fully-integrated solution for unconstrained structure-from-motion

Reference 21

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source=pdf_text observed=2026-08-16T10:35:51.531185Z digest=sha256:5b4a91cbb8591246d70500724409291aacc3cd3c37473b61ba22493b782d3c6c

Observation 617fbc8c-68d6-4e85-9a9a-594bdba14fe7 · outbound

This paper cites Williams, John Winn, and Andrew Zisserman.

Dynamic Camera Poses and Where to Find Them Williams, John Winn, and Andrew Zisserman

Reference 22

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source=pdf_text observed=2026-08-16T10:35:51.534952Z digest=sha256:c8d9955a34d7ceaf204b37923adffe3ed11096828e61682d626c63437282c824

Observation 28c4199f-2580-4a15-af94-be39fb8300ec · outbound

This paper cites Mobile aloha: Learning bimanual mobile manipulation with low- cost whole-body teleoperation.

Dynamic Camera Poses and Where to Find Them Mobile aloha: Learning bimanual mobile manipulation with low- cost whole-body teleoperation

Reference 23

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source=pdf_text observed=2026-08-16T10:35:51.538866Z digest=sha256:c8e76e7b84bb33e4297b7f52dbc807d21e214840077b1310efaf6f64371460cf

Observation 5885d8e5-19a1-411b-a679-bb6f4887c01e · outbound

This paper cites Get3d: A generative model of high quality 3d tex- tured shapes learned from images.

Dynamic Camera Poses and Where to Find Them Get3d: A generative model of high quality 3d tex- tured shapes learned from images

Reference 24

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source=pdf_text observed=2026-08-16T10:35:51.542838Z digest=sha256:d59e9a948014d23c8c8cd7f5dd7b7e8270bc0f1cefc2c678405e8cdd3cd5f8ef

Observation d422517e-8faf-4a14-b245-2092bf94e610 · outbound

This paper cites Tokenflow: Consistent diffusion features for consistent video editing.

Dynamic Camera Poses and Where to Find Them Tokenflow: Consistent diffusion features for consistent video editing

Reference 25

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source=pdf_text observed=2026-08-16T10:35:51.546927Z digest=sha256:bd30e91929ed0f33d1fecc36d80d6e09b95f75d70349f287a0130145adb33d7d

Observation 8fb2d7e4-cb12-4c2b-b5fb-5a3fef4de0cd · outbound

This paper cites Romo: Robust motion seg- mentation improves structure from motion.

Dynamic Camera Poses and Where to Find Them Romo: Robust motion seg- mentation improves structure from motion

Reference 26

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source=pdf_text observed=2026-08-16T10:35:51.550737Z digest=sha256:a3acbcd0fa19578f3dbab604e52c232817b0066e8d4f0570442ce23375808c8a

Observation 62548821-726a-42e6-9668-18097f79a5ce · outbound

This paper cites Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives.

Dynamic Camera Poses and Where to Find Them Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives

Reference 27

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source=pdf_text observed=2026-08-16T10:35:51.555193Z digest=sha256:183916efc022cc138d7164a68128c53d854f83e0d0e6dbbdcbef2aa8725ec9dd

Observation 2bddfffe-1ed4-4f18-b8e2-db41a5a64dd0 · outbound

This paper cites Kubric: A scalable dataset generator.

Dynamic Camera Poses and Where to Find Them Kubric: A scalable dataset generator

Reference 28

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Observation 4422cfed-6f2a-4f5c-87c7-8b4ed9ce7651 · outbound

This paper cites Deep geometry-aware camera self-calibration from video.

Dynamic Camera Poses and Where to Find Them Deep geometry-aware camera self-calibration from video

Reference 29

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source=pdf_text observed=2026-08-16T10:35:51.563526Z digest=sha256:cda2bf1aa3ca37b797b9d90a900610aa95d51b5aabdaecc40aca1b9e1ac51309

Observation cf4f2dc9-9e37-4532-8c3d-d3406a538ce8 · outbound

This paper cites Particle video revisited: Tracking through occlusions using point trajectories.

Dynamic Camera Poses and Where to Find Them Particle video revisited: Tracking through occlusions using point trajectories

Reference 30

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Observation 3a987e6c-1866-4cd3-ab65-51ee6d1f22d6 · outbound

This paper cites Multiple view ge- ometry in computer vision.

Dynamic Camera Poses and Where to Find Them Multiple view ge- ometry in computer vision

Reference 31

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source=pdf_text observed=2026-08-16T10:35:51.571340Z digest=sha256:f4346eb914d6e54c0141c3497c8256277506dee84dbd89be821b57edf4435ae0

Observation 35f09ec2-4026-4396-a2ec-20a0110c4973 · outbound

This paper cites Cameractrl: En- abling camera control for text-to-video generation.

Dynamic Camera Poses and Where to Find Them Cameractrl: En- abling camera control for text-to-video generation

Reference 32

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Observation 5dbe1bdf-70c1-4ea4-b541-56d73a3142c5 · outbound

This paper cites Mask r-cnn.

Dynamic Camera Poses and Where to Find Them Mask r-cnn

Reference 33

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source=pdf_text observed=2026-08-16T10:35:51.579210Z digest=sha256:c3e7af273868ff19780dc159ec52d20b52347dc30581ecf46b489b7467fa23ae

Observation 44cfee3d-c25b-41cc-8a31-7eef6e6e4921 · outbound

This paper cites Ima- gen video: High definition video generation with diffusion models.

Dynamic Camera Poses and Where to Find Them Ima- gen video: High definition video generation with diffusion models

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2c3273b9-6dfa-44ae-9bb2-d70875d07326 · outbound

This paper cites Gaia-1: A generative world model for au- tonomous driving.

Dynamic Camera Poses and Where to Find Them Gaia-1: A generative world model for au- tonomous driving

Reference 35

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raw_fallback, observed 2026-08-16T10:35:53.033621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 657e1584-b1d8-4b5f-96b1-25825ac44352 · outbound

This paper cites Oneformer: One transformer to rule universal image segmentation.

Dynamic Camera Poses and Where to Find Them Oneformer: One transformer to rule universal image segmentation

Reference 36

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.592145Z digest=sha256:34d0c04ce8d913a55d2536844e1df4b2835f8b706ea14eceecef0bb7222c82c5

Observation 0a03e0a3-9992-49d9-a876-0e2ff0421bcb · outbound

This paper cites Stereo4d: Learning how things move in 3d from internet stereo videos.

Dynamic Camera Poses and Where to Find Them Stereo4d: Learning how things move in 3d from internet stereo videos

Reference 37

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.595950Z digest=sha256:362a4a6485509fa83f405ce8d173a19c5c64eb8936de4f7a6cbbe34fbd7e1aa9

Observation 2a89d3d4-f5ed-48dc-a6e6-780bb1717289 · outbound

This paper cites Co- tracker: It is better to track together.

Dynamic Camera Poses and Where to Find Them Co- tracker: It is better to track together

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.995910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.600872Z digest=sha256:f664d0df9367dba294e373e045ff09c2163523a23e92073b3cd7563293f94b18

Observation e7dd0d00-10eb-4a1e-8365-4777e52d1bba · outbound

This paper cites Fast encoder- based 3d from casual videos via point track processing.

Dynamic Camera Poses and Where to Find Them Fast encoder- based 3d from casual videos via point track processing

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.982134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.604639Z digest=sha256:65ab879b2bb324dfac26ba9bd996a076a72e7dede632c4077a4ef77d35e4f06d

Observation d716d669-ac97-4a38-98a4-df72e63ead68 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.

Dynamic Camera Poses and Where to Find Them Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.967581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.608599Z digest=sha256:ff02f84f3d76bd2895ba5db948e2dde45a0edaab7e1e9b3ec24c292e24000c34

Observation ae09025a-2b24-4052-8da6-e16f8983aebc · outbound

This paper cites Robust consistent video depth estimation.

Dynamic Camera Poses and Where to Find Them Robust consistent video depth estimation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.954148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.612211Z digest=sha256:30e3ab8e0760fcae7ee5a7f9a5f22963946467e21316a13dfb0b8c65c0f7b4b0

Observation 16cb9f2a-7ce3-4fca-a057-a6682b3f667f · outbound

This paper cites Collaborative video diffusion: Consistent multi-video gen- eration with camera control.

Dynamic Camera Poses and Where to Find Them Collaborative video diffusion: Consistent multi-video gen- eration with camera control

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.941949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.615812Z digest=sha256:6cbe78d0d348f09a40693f949f5e3bbffa4d326be8a804423efa4ff47135e4b4

Observation 73f0487d-64f1-4fa9-b99f-9c2f771d1111 · outbound

This paper cites Neural scene flow fields for space-time view syn- thesis of dynamic scenes.

Dynamic Camera Poses and Where to Find Them Neural scene flow fields for space-time view syn- thesis of dynamic scenes

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.929095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.620863Z digest=sha256:51cd1644f26fe01d679b8bc718883838465b5e01f3f3e5a4fe0409b8897d18f9

Observation ef4785f7-c7c9-4eca-9c8c-24c692fe41c8 · outbound

This paper cites MegaSaM: Accurate, fast and robust structure and motion from casual dynamic videos.

Dynamic Camera Poses and Where to Find Them MegaSaM: Accurate, fast and robust structure and motion from casual dynamic videos

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.915031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.624470Z digest=sha256:5e9df4015e9fa0f8676b7e10d9502c682a2f3d6baa67943856f642a5aa03a3f9

Observation c93fb5de-900f-4650-b3e5-63270214af6f · outbound

This paper cites Feed- forward bullet-time reconstruction of dynamic scenes from monocular videos.

Dynamic Camera Poses and Where to Find Them Feed- forward bullet-time reconstruction of dynamic scenes from monocular videos

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.901533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.628272Z digest=sha256:3129bd7076e85f78a6cc015f675334270ddaf76c1c7b93f49d73e344340e7887

Observation 03139ec3-4436-43a3-a1f6-c5a8c5cfd834 · outbound

This paper cites Microsoft coco: Common objects in context.

Dynamic Camera Poses and Where to Find Them Microsoft coco: Common objects in context

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.887673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.631831Z digest=sha256:b3516fd55956dbe290c12b4a95924518a35eee7b2834d930998edc34c502da60

Observation a787a77f-b8e4-42f6-8f8a-9c0d19085e4a · outbound

This paper cites LightGlue: Local Feature Matching at Light Speed.

Dynamic Camera Poses and Where to Find Them LightGlue: Local Feature Matching at Light Speed

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.872192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.636378Z digest=sha256:67600034d29fce57966d2d80bf708839deb34c407f71add8d62f5a3f135f145e

Observation 4fef2b65-f6d5-400b-b428-487bdc60525c · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

Dynamic Camera Poses and Where to Find Them Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.857709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.641160Z digest=sha256:4aa0a40233c16b691e078261fa4d289c07b73f728325af5dd947cfa03860677f

Observation 7270ba7d-d71d-4fe8-aee7-130cca6ba9f1 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

Dynamic Camera Poses and Where to Find Them Zero-1-to-3: Zero-shot one image to 3d object

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T10:35:51.645236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:35:51.645236Z digest=sha256:b4bd2c3fbeba0e1fea0078d230d3aeabbf8c2c09e3a226f189a2f25d6268dbcb

Observation b32c1466-ed15-4875-97b8-510bfdf2256b · outbound

This paper cites Robust dynamic radiance fields.

Dynamic Camera Poses and Where to Find Them Robust dynamic radiance fields

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.837556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.648979Z digest=sha256:fc71d93079817d684d9f8ad67cbf3e8bd7a7b2e39cd7d88168bd11f06d20acaf

Observation dc528f69-701f-426e-8d75-519c807d18dd · outbound

This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation.

Dynamic Camera Poses and Where to Find Them A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.825004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.652527Z digest=sha256:fbf0a520b113eca02335031cc952c5d78780624b6b209f87d2550ec5eae4b3ed

Observation b736c78a-df7a-4cda-8d32-b84d64f5e83d · outbound

This paper cites Spring: A high-resolution high-detail dataset and benchmark for scene flow, optical flow and stereo.

Dynamic Camera Poses and Where to Find Them Spring: A high-resolution high-detail dataset and benchmark for scene flow, optical flow and stereo

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.812995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.656195Z digest=sha256:cfec18f29343805f2198a0162bf2e46a35fc17cd151c816e386d603247d90fcd

Observation adc256b3-fc8c-4a66-96ad-146cd803a175 · outbound

This paper cites Single view point omni- directional camera calibration from planar grids.

Dynamic Camera Poses and Where to Find Them Single view point omni- directional camera calibration from planar grids

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.799458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.660265Z digest=sha256:55b12b3180ff47fec7bcc6a88912f3676df70db06d7454c7c031f6e04a893c3f

Observation e8befe32-0145-4f1a-badc-4cfeda36a72c · outbound

This paper cites ORB-SLAM: a versatile and accurate monocular SLAM system.

Dynamic Camera Poses and Where to Find Them ORB-SLAM: a versatile and accurate monocular SLAM system

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.786851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.664570Z digest=sha256:acab89f9e1dfe1fa4cf1fa36ce81f557ed4fb53455330ead15a56d13f701211d

Observation 76975938-2a87-4a0c-96c5-d2c80c26a17f · outbound

This paper cites Conditional image-to-video gener- ation with latent flow diffusion models.

Dynamic Camera Poses and Where to Find Them Conditional image-to-video gener- ation with latent flow diffusion models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.774548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.669292Z digest=sha256:c2ba4e68b23d8d43de90e148048ff564cb476f639252ca73ff306727cf1ff7ed

Observation 8edf0d33-0485-47c8-aaab-b84ae44868c5 · outbound

This paper cites Cosmos world foundation model platform for physical ai.

Dynamic Camera Poses and Where to Find Them Cosmos world foundation model platform for physical ai

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.762519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.673714Z digest=sha256:43f3d020719d32ab8a578d53ec71e9e683c49b4cbe39da7b4915bb7125d6acb1

Observation 64ddf874-cc2f-42f0-8fee-c1d4fcbd3ecb · outbound

This paper cites NVIDIA Racer RTX | The future of graphics powered by GeForce RTX 40 Series, 2022.

Dynamic Camera Poses and Where to Find Them NVIDIA Racer RTX | The future of graphics powered by GeForce RTX 40 Series, 2022

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.750213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.677653Z digest=sha256:31ec73ac2faaff845b9f935ea90fa425badcb659710a5ecbd47b7ed4d3e5a54d

Observation 55d48da2-092d-407a-a0e3-651b2d5fd093 · outbound

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

Dynamic Camera Poses and Where to Find Them Open x-embodiment: Robotic learning datasets and rt-x models

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.737517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.681508Z digest=sha256:14458229e560baca1edd3008bea626c10b418a3205c0015596521b3b9a2777f0

Observation 5c6f42fc-acd7-4f32-b1d2-9372fe727fcf · outbound

This paper cites Gpt-4 technical report, 2023.

Dynamic Camera Poses and Where to Find Them Gpt-4 technical report, 2023

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T10:35:51.685908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:35:51.685908Z digest=sha256:27e4f3b1a6213b37aca223b1c6f71b4ba4f53b5b3dfdac6193b6e6fe17fe231f

Observation 56951b1f-f88b-4f7a-8795-88539eebbc3f · outbound

This paper cites Gpt-4o mini: advancing cost-efficient intelli- gence, 2024.

Dynamic Camera Poses and Where to Find Them Gpt-4o mini: advancing cost-efficient intelli- gence, 2024

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.718133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.690849Z digest=sha256:c3730757961f73a91e26b1fc9ed76d9334b6d539469a52ddadda3bdb5b48a01d

Observation 46bd71a2-9eae-4d40-a8e4-01237e86863a · outbound

This paper cites Global structure-from-motion revisited.

Dynamic Camera Poses and Where to Find Them Global structure-from-motion revisited

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.705963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.696287Z digest=sha256:8e7f0b2877e2979aec31fb53b64cc3cd60040c41ecc0d8d9fda501e54fdff2ad

Observation f457e0a4-6ebe-430e-8633-c9e11d5a4e5a · outbound

This paper cites Airdos: Dynamic slam benefits from articulated objects.

Dynamic Camera Poses and Where to Find Them Airdos: Dynamic slam benefits from articulated objects

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.692538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.700484Z digest=sha256:6272593d71acb684d29e8d91660aca375f1c136cc7fd087babab45b2e107e2e0

Observation b5e8bd01-8a2f-4376-81df-3ede5f788d99 · outbound

This paper cites Sam 2: Segment anything in images and videos.

Dynamic Camera Poses and Where to Find Them Sam 2: Segment anything in images and videos

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.677306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.704252Z digest=sha256:c3f86c6e19ebb2139316d760700336142a6e7d45cf61c12bfe740a44910b5fce

Observation 47bd53c9-bff9-4bdb-82f5-ac086f561092 · outbound

This paper cites Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction.

Dynamic Camera Poses and Where to Find Them Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-16T10:35:51.708287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:35:51.708287Z digest=sha256:bc4b88a0ffe7317ff7d6ba20eb1ca8b71277048f74db6c104f8ee7851cc4be21

Observation f7c27131-1a20-463a-87b5-1681d31d6d7d · outbound

This paper cites Gen3c: 3d-informed world-consistent video generation with precise camera con- trol.

Dynamic Camera Poses and Where to Find Them Gen3c: 3d-informed world-consistent video generation with precise camera con- trol

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.652259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.711812Z digest=sha256:824a287b6e3cd9b937103645cb52795c0521ec671ed81bfaac5f9e44b74240cf

Observation 0fbb445c-ac87-4776-b6eb-d4199133f88d · outbound

This paper cites Structure-from-motion revisited.

Dynamic Camera Poses and Where to Find Them Structure-from-motion revisited

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.639747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.715599Z digest=sha256:ec3493ca62c8320699df64dafff596fcc96918364c40a727bf5d9bb4b4ed82f9

Observation eb9864ee-7820-4ee9-8188-77355031278e · outbound

This paper cites A multi-view stereo benchmark with high-resolution images and multi-camera videos.

Dynamic Camera Poses and Where to Find Them A multi-view stereo benchmark with high-resolution images and multi-camera videos

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-16T10:35:51.719190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:35:51.719190Z digest=sha256:fbe5a43ed548f6878f8ee42d0a7691debe27c193d3932609b82a4b23c8c8676b

Observation 59f2672e-b78e-4e96-944e-65e0d8ecc8d2 · outbound

This paper cites Dynomo: Online point tracking by dynamic online monocular gaussian re- construction.

Dynamic Camera Poses and Where to Find Them Dynomo: Online point tracking by dynamic online monocular gaussian re- construction

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.617459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.723089Z digest=sha256:9abdbed62479ca18e214fef59a8566710733d9998f1004da132189f3bb4b5b04

Observation 95828aa9-d670-4144-ba64-3528912a7dad · outbound

This paper cites Dytanvo: Joint refinement of visual odometry and motion segmentation in dynamic environments.

Dynamic Camera Poses and Where to Find Them Dytanvo: Joint refinement of visual odometry and motion segmentation in dynamic environments

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.605441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.727006Z digest=sha256:6f49fcc6c49dfdb7e302cfbcdc41e8200878ea6355464a0df81f3cd5d723d872

Observation 162f487f-3ce8-4cb7-9e09-b8fafd7b24cd · outbound

This paper cites Make-a-video: Text-to-video generation without text-video data.

Dynamic Camera Poses and Where to Find Them Make-a-video: Text-to-video generation without text-video data

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.592479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.730921Z digest=sha256:33e51c69039ad6f28c885145630c8f01309da9997eb99e63ff658a1a89ffcc2e

Observation d28e4400-6388-42ff-8cc6-ab5cad1fecb7 · outbound

This paper cites Text-to-4d dy- namic scene generation.

Dynamic Camera Poses and Where to Find Them Text-to-4d dy- namic scene generation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.580137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.734649Z digest=sha256:262bae24f3223f7959e50bb55ee4a5cfe375f5936c5d200d24b2013561cf7b23

Observation 38aa3c2d-3257-4872-84a3-218a001caf76 · outbound

This paper cites Common pets in 3d: Dynamic new-view synthesis of real-life deformable categories.

Dynamic Camera Poses and Where to Find Them Common pets in 3d: Dynamic new-view synthesis of real-life deformable categories

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.566328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.738443Z digest=sha256:f188c0a150300048135a2d91f95641ebd2db474bcd1cc0122a167f86d1bd67fa

Observation 0bb0aa80-5352-4e37-a6a8-23d605a4ccd6 · outbound

This paper cites Flowmap: High-quality camera poses, in- trinsics, and depth via gradient descent.

Dynamic Camera Poses and Where to Find Them Flowmap: High-quality camera poses, in- trinsics, and depth via gradient descent

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.552269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.742254Z digest=sha256:011e0ed88a3f4b3aab356280e475e8991d64b0a28e8cebd4017f13c075b6e889

Observation b67cb450-18cc-41d4-af9c-37204e1899c5 · outbound

This paper cites Scene reconstruction and visualization from internet photo collections.

Dynamic Camera Poses and Where to Find Them Scene reconstruction and visualization from internet photo collections

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.535871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.745991Z digest=sha256:c0f4088a0373a509f4cdfdd516333673b98f497671e43aee2a579ec1fc21e37f

Observation 12e94abe-bc32-4d8e-b310-19ae34518cb4 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Dynamic Camera Poses and Where to Find Them Scalability in perception for autonomous driving: Waymo open dataset

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.521299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.750357Z digest=sha256:4e84516638bb60e650e6ec8820af36109199d9359c74d3fde4cfd2ee4436abe3

Observation a1ec2267-d1e2-4325-9017-03cb9813108c · outbound

This paper cites Theia multiview geometry library: Tutorial & reference.

Dynamic Camera Poses and Where to Find Them Theia multiview geometry library: Tutorial & reference

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.505656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.754931Z digest=sha256:8749130c4f7bbd2a5d6f89229ce5106d2ca95a34bacd0c46a008fb8e881845ae

Observation a66dd90d-d727-40c5-b542-44c10083d1e3 · outbound

This paper cites Deepv2d: Video to depth with differentiable structure from motion.

Dynamic Camera Poses and Where to Find Them Deepv2d: Video to depth with differentiable structure from motion

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.491181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.758716Z digest=sha256:d40a6c2b9f3d4c8ac90f1df676aa6e71c6b6dc206711a416ca90cd40bdb2aef3

Observation 9259ba6f-f022-4eb5-a79c-ee5652549814 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

Dynamic Camera Poses and Where to Find Them Raft: Recurrent all-pairs field transforms for optical flow

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.478286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.762244Z digest=sha256:3d3e51ff2bacfada9f9facd9f7f29de368dc20f9f8e0514c7fe28f30059b1aa0

Observation 4b990231-d5be-496a-807e-960e503b3efe · outbound

This paper cites DROID-SLAM: Deep vi- sual SLAM for monocular, stereo, and RGB-D cameras.

Dynamic Camera Poses and Where to Find Them DROID-SLAM: Deep vi- sual SLAM for monocular, stereo, and RGB-D cameras

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.466089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.765691Z digest=sha256:6082f003966f790e0074f97e1644f0b03d8707154f405e568d0848343a688988

Observation 67f50c2e-eec8-4163-9975-5455d8b63507 · outbound

This paper cites Deep patch visual odometry.

Dynamic Camera Poses and Where to Find Them Deep patch visual odometry

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.453162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.769596Z digest=sha256:d006b668223a74cccfcc731c6b139af92634b16abbd50b4c45088e96d6f1a9db

Observation 469546bb-a711-4668-a05c-a83d457f29a9 · outbound

This paper cites Epic fields: Marrying 3d geometry and video un- derstanding.

Dynamic Camera Poses and Where to Find Them Epic fields: Marrying 3d geometry and video un- derstanding

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.439714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.774545Z digest=sha256:743274c607e30158a55d0f7c540a46915a17c665bf11c2927dcf7b003f3dc237

Observation a44a2154-e0f7-4dd3-bbe4-152179477a3f · outbound

This paper cites Vggsfm: Visual geometry grounded deep structure from motion.

Dynamic Camera Poses and Where to Find Them Vggsfm: Visual geometry grounded deep structure from motion

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-16T10:35:51.778912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:35:51.778912Z digest=sha256:28a9659a8b2bc98132a023da1e6c8c1dc84442c932852cb555c0be06c9e7a37a

Observation c6ab04c2-b6f1-40d1-9443-8a1ba662242f · outbound

This paper cites Ibrnet: Learning multi-view image-based rendering.

Dynamic Camera Poses and Where to Find Them Ibrnet: Learning multi-view image-based rendering

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.307341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.783309Z digest=sha256:56d77be9ec71884ff8de84ca96f3c375896ed251526c516352a578b9ba6a6897

Observation 8ff597e0-03bc-4009-b050-24913a840010 · outbound

This paper cites Tracking everything everywhere all at once.

Dynamic Camera Poses and Where to Find Them Tracking everything everywhere all at once

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.292705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.787279Z digest=sha256:4166acd6e740a91910cc8921c29411819f0b431ad38f56d435daad0a9d56e400

Observation e6a2a711-4070-4aa8-b00f-3ac9eed3398f · outbound

This paper cites Efros, and Angjoo Kanazawa.

Dynamic Camera Poses and Where to Find Them Efros, and Angjoo Kanazawa

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.280020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.791314Z digest=sha256:19a12f94b174f4d40c42947df045af1af7bfdd916c3a3a69ea8a5b872af7000c

Observation a789ef72-bed3-40e0-ac2f-ebc209ede028 · outbound

This paper cites Dust3r: Geometric 3d vision made easy.

Dynamic Camera Poses and Where to Find Them Dust3r: Geometric 3d vision made easy

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.263761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.795214Z digest=sha256:c690d791a859b965126a0645a59990ce26bf2b48356e3d45581847285887a793

Observation 274e973e-663c-4437-bdf9-08df1ae688f9 · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam.

Dynamic Camera Poses and Where to Find Them Tartanair: A dataset to push the limits of visual slam

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.251098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.799227Z digest=sha256:aaed37665aed7efbc646413b3290494a8bdec564ce09f35bff54e4e2cb6e94b9

Observation f1512fc8-2cd4-47e6-8044-7a1fbd178017 · outbound

This paper cites Tar- tanVO: A generalizable learning-based VO.

Dynamic Camera Poses and Where to Find Them Tar- tanVO: A generalizable learning-based VO

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.239091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.802656Z digest=sha256:4a502a84d01d2901818b756bb0ad3ae55f438b5f8ed2bae95bc826c3b80ae961

Observation f4c10e9d-3ae0-4c6a-a7a4-fdabbbc477ca · outbound

This paper cites Drivedreamer: Towards real-world-driven world models for autonomous driving.

Dynamic Camera Poses and Where to Find Them Drivedreamer: Towards real-world-driven world models for autonomous driving

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-16T10:35:51.806498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:35:51.806498Z digest=sha256:7abdc6c9befaa77ec546ff426ed31fdc8d019484e3f59841973183a3bf3472e0

Observation c2ae9842-749d-42bc-9c22-dc0f973104e3 · outbound

This paper cites Motionctrl: A unified and flexible motion controller for video generation.

Dynamic Camera Poses and Where to Find Them Motionctrl: A unified and flexible motion controller for video generation

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.219051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.810046Z digest=sha256:1dc28ac567082fd028443a1909a3c929e9ac3e472478d2e7356d03de7c700971

Observation 892b94ac-39c8-4f4b-a053-b7a1e9401c3c · outbound

This paper cites Synsin: End-to-end view synthesis from a single image.

Dynamic Camera Poses and Where to Find Them Synsin: End-to-end view synthesis from a single image

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-16T10:35:51.813911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:35:51.813911Z digest=sha256:d79f63587a3891de3b3b7acf49c689a6dd9b696c0e9a7a26002c3c33e75a6911

Observation 7f95927e-922f-4dfd-b503-a7413d26f944 · outbound

This paper cites Wulff, D.

Dynamic Camera Poses and Where to Find Them Wulff, D

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.198189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.817342Z digest=sha256:1fd984d1b7e9a62bd3cc7ba2bb986188701be42bb8816f0877824f0fadc27cf2

Observation 653be7fa-5f2f-49ea-bc1f-935931ddf80f · outbound

This paper cites Camco: Camera-controllable 3d-consistent image-to-video genera- tion.

Dynamic Camera Poses and Where to Find Them Camco: Camera-controllable 3d-consistent image-to-video genera- tion

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.183976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.821260Z digest=sha256:3cc0c8338491a32594f595fa40c13f0bbe482774de3435df439ad7749cbc3884

Observation 8400809f-e7f9-4782-afe6-fa03c435b8ef · outbound

This paper cites Ad- 11 vancing high-resolution video-language representation with large-scale video transcriptions.

Dynamic Camera Poses and Where to Find Them Ad- 11 vancing high-resolution video-language representation with large-scale video transcriptions

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.170085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.825093Z digest=sha256:d2447515cf56f14e806b5d05c2bf5f99354b0f795ae46286b04a0c23dcfec2ff

Observation 27acfb14-7af5-44a7-82ad-2e851f8d55ea · outbound

This paper cites Rerender a video: Zero-shot text-guided video-to- video translation.

Dynamic Camera Poses and Where to Find Them Rerender a video: Zero-shot text-guided video-to- video translation

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.158034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.829327Z digest=sha256:f88c06e2fd678350d04bcc7d91e7dc6087379c20a844c0c2ed739584bd4915fa

Observation fd54db08-55c7-4890-9015-6831462df1ac · outbound

This paper cites Datap-sfm: Dynamic-aware tracking any point for robust dense structure from motion in the wild.

Dynamic Camera Poses and Where to Find Them Datap-sfm: Dynamic-aware tracking any point for robust dense structure from motion in the wild

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.146015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.833058Z digest=sha256:540ffd0500c498cdb3d54c676a47a39cb2758375deaf1faaffddd25d35d1541b

Observation 49794f25-8139-4f89-ad7c-b6bda31820fb · outbound

This paper cites Scannet++: A high-fidelity dataset of 3d indoor scenes.

Dynamic Camera Poses and Where to Find Them Scannet++: A high-fidelity dataset of 3d indoor scenes

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.133620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.837143Z digest=sha256:d61522cb4b488b608ef5729c26de1f786cd19782f2329bb8309ed003552f972d

Observation 819c6945-247f-40be-9a30-b0a479a8a2bf · outbound

This paper cites Geonet: Unsupervised learn- ing of dense depth, optical flow and camera pose.

Dynamic Camera Poses and Where to Find Them Geonet: Unsupervised learn- ing of dense depth, optical flow and camera pose

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-16T10:35:51.841086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:35:51.841086Z digest=sha256:28cca7e52d902d03710015146058ca6cb214bdfbb930670603513fb329e73966

Observation 676884fe-11d8-45be-9ae1-62851b3c2edb · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images.

Dynamic Camera Poses and Where to Find Them pixelnerf: Neural radiance fields from one or few images

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-16T10:35:51.844725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:35:51.844725Z digest=sha256:204f63e80dc3b93763bb33683cff6fdd9652e35847d3e590d61b3d55c174bf6a

Observation aad5860a-c20a-434e-b187-142e3a3828ee · outbound

This paper cites Monst3r: A simple approach for esti- mating geometry in the presence of motion.

Dynamic Camera Poses and Where to Find Them Monst3r: A simple approach for esti- mating geometry in the presence of motion

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:35:52.103290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T10:35:51.849180Z digest=sha256:41bd95a38414f96f6a6a9781eb29ce67d35e0889f2671c3d7071a752d4d1548c

Pith citing papers

No inbound Pith citation observations are available.