Paper Citation Record · LEDGER

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

As of 5 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 54 inbound Pith citation observations for arXiv:2502.20110.

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

pith.paper-citation-record.v1
2502.20110 v2

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T09:11:04.176769Z

measured 144 of 144 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 54 of 54 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:14:20.302180Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

90 of 90 outbound references displayed

verified exact12
verified fuzzy78
unresolved0
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External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 50dd6a60-fa89-45b3-b3df-c9db99aeaf54 · outbound

This paper cites Depth-supervised nerf: Fewer views and faster training for free.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Depth-supervised nerf: Fewer views and faster training for free

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.481037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e1151794-7fad-4601-aec2-e8bf116d532d · outbound

This paper cites Does computer vision matter for action?.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Does computer vision matter for action?

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.510611Z

Source-reported events for the cited work

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Observation 5d738240-e257-4c33-8419-1132ec4caab2 · outbound

This paper cites Towards real-time monocular depth estimation for robotics: A survey.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Towards real-time monocular depth estimation for robotics: A survey

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.513583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 65b9f3f2-a9ef-42a9-bbfa-3afffd609c41 · outbound

This paper cites Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.516632Z

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Observation 3152a8fc-88f2-4d2d-b8e0-0dc894265549 · outbound

This paper cites Is pseudo-lidar needed for monocular 3d object detection?.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Is pseudo-lidar needed for monocular 3d object detection?

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.519492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 71c145cb-3f60-4c78-b72b-e6d3b07ca546 · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep network.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Depth map prediction from a single image using a multi-scale deep network

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.522344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8e6f459d-e224-43c4-a7ee-f69959ca1e41 · outbound

This paper cites Deep ordinal regression network for monocular depth estimation.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Deep ordinal regression network for monocular depth estimation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.525267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 672e1935-d8bb-4e90-ab3d-04da0cfbb935 · outbound

This paper cites Adabins: Depth estimation using adaptive bins.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Adabins: Depth estimation using adaptive bins

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.528203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 095eda9b-d764-4196-ae90-30df7ab42ca9 · outbound

This paper cites Vision transformers for dense prediction.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Vision transformers for dense prediction

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.531207Z

Source-reported events for the cited work

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Observation 7b085aa1-c453-4e98-9703-74c74649d61a · outbound

This paper cites P3Depth: Monocular depth estimation with a piecewise planarity prior.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler P3Depth: Monocular depth estimation with a piecewise planarity prior

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.534123Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 30fd3839-75c4-4a79-a11a-e36a4b309bba · outbound

This paper cites Neural window fully- connected crfs for monocular depth estimation.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Neural window fully- connected crfs for monocular depth estimation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.537069Z

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Observation 2b948fca-ad26-4e35-bb50-2e004c871c6d · outbound

This paper cites iDisc: Internal discretization for monocular depth estimation.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler iDisc: Internal discretization for monocular depth estimation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.540044Z

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Observation b5377120-2130-4f80-a8b8-b67b72a34e42 · outbound

This paper cites Train in germany, test in the usa: Making 3d object detectors generalize.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Train in germany, test in the usa: Making 3d object detectors generalize

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.305093Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 51705496-08d3-4b3e-994d-8789c4aec268 · outbound

This paper cites Metric3d: Towards zero-shot metric 3d prediction from a single image.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.308660Z

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Observation 18c46051-29de-4e83-b2d5-0aa905a5ac31 · outbound

This paper cites Towards zero-shot scale-aware monocular depth estimation.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Towards zero-shot scale-aware monocular depth estimation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.311969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1925f5ec-841c-45fb-a4a1-9ca12a44c608 · outbound

This paper cites Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.279235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6bfa5006-0e2b-41bf-a910-263efda8be33 · outbound

This paper cites Unidepth: Universal monocular metric depth estimation.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Unidepth: Universal monocular metric depth estimation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.315295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 63d8ffde-e8a2-47d5-bc21-9917c7ca4945 · outbound

This paper cites Perception-aware chance-constrained model predictive control for uncertain environments.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Perception-aware chance-constrained model predictive control for uncertain environments

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.318649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 51a24ffc-272c-4cef-a78d-92fd44d68728 · outbound

This paper cites Stochastic model predictive control: An overview and perspectives for future research.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Stochastic model predictive control: An overview and perspectives for future research

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.321760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 030180e4-5399-411a-88a4-a30b91ed9e5c · outbound

This paper cites Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.232969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 07be1a84-8133-42f5-814c-bf6cfef926c8 · outbound

This paper cites Robust model predictive control: A survey.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Robust model predictive control: A survey

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.325235Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1d27e8d0-c833-4dcf-8565-2d3c99d6c6f4 · outbound

This paper cites Indoor seg- mentation and support inference from rgbd images.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Indoor seg- mentation and support inference from rgbd images

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.328718Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6564abd9-cb82-4f72-995a-ec19f6b4e0bc · outbound

This paper cites Are we ready for autonomous driving? The KITTI vision benchmark suite.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Are we ready for autonomous driving? The KITTI vision benchmark suite

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.331949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 27e0cd39-a9bd-4138-93ad-658ad0db92f9 · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross- dataset transfer.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Towards robust monocular depth estimation: Mixing datasets for zero-shot cross- dataset transfer

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.335353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 691f02eb-b3bc-45bf-bd2c-84ba1018a645 · outbound

This paper cites Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.339939Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 18539b21-e9ef-436e-b2bf-f705235984e5 · outbound

This paper cites Learning to recover 3d scene shape from a single image.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Learning to recover 3d scene shape from a single image

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.343094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b29bedef-b583-4afa-b923-e47af7abc7d2 · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Repurposing diffusion-based image generators for monocular depth estimation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.346442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cc84354d-f1b1-4105-93fa-1c40cee284dd · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Depth anything: Unleashing the power of large-scale unlabeled data

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.349505Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0713c2b4-04ed-4f7b-916b-8aa499030e77 · outbound

This paper cites Depth Anything V2.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Depth Anything V2

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-17T09:11:04.263299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2bf8163a-270c-4fea-9ce0-30eeaa206fd7 · outbound

This paper cites Segment anything.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Segment anything

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.352355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1ecc8d1a-3e8a-42cb-b7aa-97b30d6f6827 · outbound

This paper cites Geowizard: Unleashing the diffusion priors for 3d geometry estimation from a single image.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Geowizard: Unleashing the diffusion priors for 3d geometry estimation from a single image

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.355369Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 05a8e958-e12a-42ec-9a23-0f110fc3ab63 · outbound

This paper cites Lotus: Diffusion-based visual foundation model for high-quality dense prediction.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Lotus: Diffusion-based visual foundation model for high-quality dense prediction

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.358422Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8fee17e6-c9df-4293-9e4f-5ef43c27077b · outbound

This paper cites Video depth anything: Consistent depth estimation for super-long videos.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Video depth anything: Consistent depth estimation for super-long videos

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.361445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c574be6b-50e4-4899-82cb-709827f92991 · outbound

This paper cites Depthcrafter: Generating consistent long depth sequences for open-world videos.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Depthcrafter: Generating consistent long depth sequences for open-world videos

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.364275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f5a4c937-5cab-44b8-b7af-6d79345c5e24 · outbound

This paper cites Deeper depth prediction with fully convolutional residual networks.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Deeper depth prediction with fully convolutional residual networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.367347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6daeb1f4-57f7-4df8-bbb1-f15a9a20cab6 · outbound

This paper cites Learning depth from single monoc- ular images using deep convolutional neural fields.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Learning depth from single monoc- ular images using deep convolutional neural fields

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.370649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e43ad473-cd90-432c-a385-7b46405569d0 · outbound

This paper cites Transformer-based attention networks for continuous pixel-wise prediction.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Transformer-based attention networks for continuous pixel-wise prediction

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.373422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 99422b91-893c-4f9b-ba04-f84613f67832 · outbound

This paper cites Video depth propagation.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Video depth propagation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.243310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2dcad990-b127-452d-996b-46ff57b62bdc · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-17T09:11:04.256432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 234b7698-2d74-491a-8155-f376d6d7ea4b · outbound

This paper cites Cam-convs: Camera-aware multi-scale convolutions for single- view depth.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Cam-convs: Camera-aware multi-scale convolutions for single- view depth

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.376292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e0a928ea-9d04-4695-bca1-74f912ed4812 · outbound

This paper cites From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.272486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8a5bf2c0-f664-4acf-885b-a0a8bbfbe340 · outbound

This paper cites Mapillary planet-scale depth dataset.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Mapillary planet-scale depth dataset

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.379167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d6707549-b8af-4612-8612-7909a3ae7cf3 · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-17T09:11:04.286940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4d1ac74d-beb2-49e1-ac29-2314be8bc80a · outbound

This paper cites UniK3D: Universal camera monocular 3d estimation.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler UniK3D: Universal camera monocular 3d estimation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.382156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 57815b19-952f-4251-bd6a-93b7c8c33531 · outbound

This paper cites Diffusion models for monocular depth estimation: Overcoming challenging conditions.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Diffusion models for monocular depth estimation: Overcoming challenging conditions

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.385156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e0a1d7a3-2cbe-426c-9de4-ecb12b3469c9 · outbound

This paper cites Robust monocular depth estimation under chal- lenging conditions.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Robust monocular depth estimation under chal- lenging conditions

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.388043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e26fefc9-dda7-480a-b6ee-024217fa7cb7 · outbound

This paper cites Learning depth estimation for transparent and mirror surfaces.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Learning depth estimation for transparent and mirror surfaces

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.391088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 582afeff-9f47-4fd5-ab08-ba9e11b6cdf4 · outbound

This paper cites Booster: A benchmark for depth from images of specular and transparent surfaces.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Booster: A benchmark for depth from images of specular and transparent surfaces

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.394137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 59e3c926-faaf-4bb4-9a13-8b0c309efc1a · outbound

This paper cites Slic superpixels compared to state-of-the-art superpixel methods.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Slic superpixels compared to state-of-the-art superpixel methods

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.397101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b3bb697a-1863-4d0b-bcf7-5916e7e7a2f3 · outbound

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

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler An image is worth 16x16 words: Transformers for image recognition at scale

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.400147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5aa9c244-cfac-47a7-9160-ca0c177249f8 · outbound

This paper cites Grounding Image Matching in 3D with MASt3R.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Grounding Image Matching in 3D with MASt3R

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.295144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dd134a3f-94d7-48d8-aab0-75777d1ef90d · outbound

This paper cites A2D2: Audi Autonomous Driving Dataset.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler A2D2: Audi Autonomous Driving Dataset

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-07-29T00:24:28.889631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 66cd0bd0-3975-4ae1-9718-7a33b945c519 · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and forecasting.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Argoverse 2: Next generation datasets for self-driving perception and forecasting

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.403405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0e5edc2c-6b67-4f3d-92ff-817240661a77 · outbound

This paper cites ARKitscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB- d data.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler ARKitscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB- d data

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.407085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 51567b4c-fd3c-4d45-afa1-54ca3b8e3177 · outbound

This paper cites BEDLAM: A synthetic dataset of bodies exhibiting detailed lifelike animated motion.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler BEDLAM: A synthetic dataset of bodies exhibiting detailed lifelike animated motion

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.410072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 57f5917e-715c-4e89-8aca-4733b0e62a32 · outbound

This paper cites Blendedmvs: A large-scale dataset for generalized multi-view stereo networks.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Blendedmvs: A large-scale dataset for generalized multi-view stereo networks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.413028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 74920a8c-893e-4d9f-ae48-71f2a34af867 · outbound

This paper cites DL3DV-10k: A large-scale scene dataset for deep learning-based 3d vision.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler DL3DV-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.415957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c044fa79-687b-4231-a708-0cb4268d9dbc · outbound

This paper cites Drivingstereo: A large-scale dataset for stereo matching in autonomous driving scenarios.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Drivingstereo: A large-scale dataset for stereo matching in autonomous driving scenarios

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.418789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a9d0e388-7c20-427e-b8c3-90c7f57a7a4f · outbound

This paper cites Dynamicstereo: Consistent dynamic depth from stereo videos.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Dynamicstereo: Consistent dynamic depth from stereo videos

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.421530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7727ef56-7dbb-4344-86e1-00f12c150e34 · outbound

This paper cites Eden: Multimodal synthetic dataset of enclosed garden scenes.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Eden: Multimodal synthetic dataset of enclosed garden scenes

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.424378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1be3e072-6c3a-4da9-a117-23d1f3c5e29a · outbound

This paper cites Hoi4d: A 4d egocentric dataset for category-level human-object interaction.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Hoi4d: A 4d egocentric dataset for category-level human-object interaction

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.427392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a81cabd3-1791-4bcc-8519-992409a309de · outbound

This paper cites Habitat-matterport 3d dataset (HM3d): 1000 large-scale 3d environments for embodied AI.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Habitat-matterport 3d dataset (HM3d): 1000 large-scale 3d environments for embodied AI

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.430251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6e6de87a-c383-41fd-8bae-7c36caed878e · outbound

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

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Matterport3d: Learning from rgb-d data in indoor environments

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.433130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8bb35dc2-df96-43b0-a32d-6493e8ce47c8 · outbound

This paper cites Ma- trixcity: A large-scale city dataset for city-scale neural rendering and beyond.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Ma- trixcity: A large-scale city dataset for city-scale neural rendering and beyond

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.436091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4308549c-47b5-4c28-9fa4-66692e96fd5b · outbound

This paper cites Megadepth: Learning single-view depth prediction from internet photos.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Megadepth: Learning single-view depth prediction from internet photos

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.439129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5dc0cc72-88ed-49b7-af67-12ee908f17e9 · outbound

This paper cites Map-free visual relocalization: Metric pose relative to a single image.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Map-free visual relocalization: Metric pose relative to a single image

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.442136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a36170b4-ce72-4416-b324-9367a2502765 · outbound

This paper cites Pointodyssey: A large-scale synthetic dataset for long-term point track- ing.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Pointodyssey: A large-scale synthetic dataset for long-term point track- ing

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.445216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8579cd5f-2fce-47a8-adba-b613ec52451d · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.448201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5ddb1bbd-8698-49a6-99b6-92c86dc861bf · outbound

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

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Scannet++: A high- fidelity dataset of 3d indoor scenes

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.451222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 97244901-4aff-4298-b8c3-857072bd67c0 · outbound

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

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Tartanair: A dataset to push the limits of visual slam

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.454268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dde7357a-0963-4527-b601-182f6373b437 · outbound

This paper cites Taskonomy: Disentangling task transfer learning.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Taskonomy: Disentangling task transfer learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.457277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9c1c89f1-1aad-4a62-bfd6-8b2d6ec2b76f · outbound

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

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Scalability in perception for autonomous driving: Waymo open dataset

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.460194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3bbcaac0-4990-47fe-baf3-3f36c674d43c · outbound

This paper cites Rgbd objects in the wild: Scaling real-world 3d object learning from rgb-d videos.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Rgbd objects in the wild: Scaling real-world 3d object learning from rgb-d videos

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.463157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 93859800-0664-48c4-b492-9e67bf2dffc2 · outbound

This paper cites Sun rgb-d: A rgb-d scene un- derstanding benchmark suite.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Sun rgb-d: A rgb-d scene un- derstanding benchmark suite

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.466163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 28affd30-c2fb-402d-96e2-37c27f43f76b · outbound

This paper cites Comparison of monocular depth estimation methods using geometrically relevant metrics on the IBims-1 dataset.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Comparison of monocular depth estimation methods using geometrically relevant metrics on the IBims-1 dataset

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.469177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 712f067d-3b74-4c24-9fa9-7e65aaa2a6ff · outbound

This paper cites A benchmark for the evaluation of rgb-d slam systems.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler A benchmark for the evaluation of rgb-d slam systems

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.472101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a9439e42-49ae-428d-af78-6e8c9f1f2dc0 · outbound

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

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler A multi-view stereo benchmark with high-resolution images and multi-camera videos

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.475105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5851829b-15e8-47ed-91eb-e425be421836 · outbound

This paper cites A naturalistic open source movie for optical flow evaluation.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler A naturalistic open source movie for optical flow evaluation

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.478024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 29b6acbc-5afd-4d61-a1a6-8d5ecca5d195 · outbound

This paper cites 3d packing for self-supervised monocular depth estimation.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler 3d packing for self-supervised monocular depth estimation

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.507631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 639f491c-c3d1-4279-a2b1-4cca5d47758a · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler nuscenes: A multimodal dataset for autonomous driving

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.483967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1ef6b6d3-0e28-4aca-acfd-f1949e9f7a7c · outbound

This paper cites Is my Depth Ground-Truth Good Enough? HAMMER -- Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Is my Depth Ground-Truth Good Enough? HAMMER -- Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.238355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e0828127-3dd2-46d4-bba0-f4e26bbca431 · outbound

This paper cites Flsea: Underwater visual-inertial and stereo- vision forward-looking datasets.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Flsea: Underwater visual-inertial and stereo- vision forward-looking datasets

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.486953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 74061964-f276-4ccd-b4b9-6229824a3ab1 · outbound

This paper cites From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.249677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4d094342-3e16-44e3-b716-720492231379 · outbound

This paper cites Ctrl-c: Camera calibration transformer with line-classification.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Ctrl-c: Camera calibration transformer with line-classification

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.489895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 99a3d1a6-2ba7-41a5-8a6c-a0b3ad60c51e · outbound

This paper cites Geocalib: Learn- ing single-image calibration with geometric optimization.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Geocalib: Learn- ing single-image calibration with geometric optimization

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.492885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d405d188-d995-467a-8136-319136967168 · outbound

This paper cites On the uncertainty of self-supervised monocular depth estimation.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler On the uncertainty of self-supervised monocular depth estimation

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.495834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e2dc0067-84d7-42bc-aed0-3e0b7a698df9 · outbound

This paper cites Pytorch: An imperative style, high- performance deep learning library.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Pytorch: An imperative style, high- performance deep learning library

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.498702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c9c8dd0a-7cdb-4993-a779-a700d4e87427 · outbound

This paper cites Scalable parallel programming with cuda: Is cuda the parallel programming model that application developers have been waiting for?.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Scalable parallel programming with cuda: Is cuda the parallel programming model that application developers have been waiting for?

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.501874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 114712c9-f012-4e0f-bb28-d7dbaa28378c · outbound

This paper cites Decoupled weight decay regularization.

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Decoupled weight decay regularization

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T09:11:04.504744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9de94152-88ce-4e88-9fce-ae6004b8eb52 · outbound

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

UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler DINOv2: Learning Robust Visual Features without Supervision

Reference 90

Resolution: verified exact; local_arxiv, observed 2026-05-17T09:11:04.301077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 59718c44-7470-42de-a2d4-febb242bc33c · inbound

MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details cites this paper.

MoGe-2: Accurate Monocular Geometry with Metric Scale and Sharp Details UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eed8ffc0-253e-4091-b1c1-66c31de15c3c · inbound

ViPE: Video Pose Engine for 3D Geometric Perception cites this paper.

ViPE: Video Pose Engine for 3D Geometric Perception UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a809ccdc-dcee-451a-9087-3faf691b4b00 · inbound

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving cites this paper.

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-21T23:30:46.223579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 04b05bb3-8ed1-4a72-a99d-8a10a4456cb6 · inbound

Zero-Shot Metric Depth Estimation via Monocular Visual-Inertial Rescaling for Autonomous Aerial Navigation cites this paper.

Zero-Shot Metric Depth Estimation via Monocular Visual-Inertial Rescaling for Autonomous Aerial Navigation UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T21:14:20.302180Z

Source-reported events for the cited work

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Observation 671f2833-d8b6-44d2-99ed-334d56292dbb · inbound

SpaceVista: All-Scale Visual Spatial Reasoning from mm to km cites this paper.

SpaceVista: All-Scale Visual Spatial Reasoning from mm to km UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T10:37:38.890416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 388773c9-a9a9-4239-93a3-84100f0b67c7 · inbound

Depth Anything 3: Recovering the Visual Space from Any Views cites this paper.

Depth Anything 3: Recovering the Visual Space from Any Views UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fdbab8bf-94e8-4e1a-a0d2-145a2baeee8d · inbound

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation cites this paper.

Geometry-Aware Single-Image 4D Synthesis via Dense Trajectory Generation UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T18:30:05.135162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c1c19b7-be77-4cd2-8f09-f81aa65befb7 · inbound

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving cites this paper.

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-22T12:21:31.274840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 80e537f1-c9d5-4d13-9ff8-94173eabe604 · inbound

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving cites this paper.

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T17:07:44.785002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e1dc52-bc93-46f3-b5cd-500f3a1bdaf8 · inbound

Boosting Monocular Metric Depth Estimation via Bokeh Rendering cites this paper.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T16:43:29.521204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7536009-bf42-4904-9ab9-fc83edacb38a · inbound

InsertAnywhere: Geometrically Grounded and Optics-Aware Video Object Insertion cites this paper.

InsertAnywhere: Geometrically Grounded and Optics-Aware Video Object Insertion UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T15:20:19.727993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d8622b5-ba42-4923-92f2-71cae114caec · inbound

MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources cites this paper.

MetricAnything: Scaling Metric Depth Pretraining with Noisy Heterogeneous Sources UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T06:50:22.944096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed620bfc-72c6-4f48-ab42-41855dbe0bbb · inbound

RAD: Retrieval-Augmented Monocular Metric Depth Estimation for Underrepresented Classes cites this paper.

RAD: Retrieval-Augmented Monocular Metric Depth Estimation for Underrepresented Classes UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1e66a50c-6327-46c8-b119-652a6d6c6a69 · inbound

DenseMLLM: Standard Multimodal LLMs for Dense Prediction cites this paper.

DenseMLLM: Standard Multimodal LLMs for Dense Prediction UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T23:23:34.181055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27755f92-c822-4124-a35d-3c50d22fca04 · inbound

Learning to Localize Reference Trajectories in Image-Space for Visual Navigation cites this paper.

Learning to Localize Reference Trajectories in Image-Space for Visual Navigation UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T21:56:35.486896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ebbb49a-8262-49b5-8f62-7a54f2234b4f · inbound

OpenVO: Open-World Visual Odometry with Temporal Dynamics Awareness cites this paper.

OpenVO: Open-World Visual Odometry with Temporal Dynamics Awareness UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c821a0ad-c300-4c06-af64-4b0c3683c70e · inbound

Efficient Test-Time Optimization for Depth Completion via Low-Rank Decoder Adaptation cites this paper.

Efficient Test-Time Optimization for Depth Completion via Low-Rank Decoder Adaptation UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b079e877-764a-4004-9dac-624fa462d1aa · inbound

SymphoMotion: Joint Control of Camera Motion and Object Dynamics for Coherent Video Generation cites this paper.

SymphoMotion: Joint Control of Camera Motion and Object Dynamics for Coherent Video Generation UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-13T12:26:54.361488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92d11c47-1729-42b2-97e9-f01ee10ec5ff · inbound

In Depth We Trust: Reliable Monocular Depth Supervision for Gaussian Splatting cites this paper.

In Depth We Trust: Reliable Monocular Depth Supervision for Gaussian Splatting UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b4b7ae37-1c8e-44e9-b709-7ad302744244 · inbound

Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction cites this paper.

Appearance Decomposition Gaussian Splatting for Multi-Traversal Reconstruction UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5052af71-aa6d-4e19-87e0-69cf3890750b · inbound

LuMon: A Comprehensive Benchmark and Development Suite with Novel Datasets for Lunar Monocular Depth Estimation cites this paper.

LuMon: A Comprehensive Benchmark and Development Suite with Novel Datasets for Lunar Monocular Depth Estimation UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f44c7d29-7610-4716-b222-c47054be3dee · inbound

Enhancing Glass Surface Reconstruction via Depth Prior for Robot Navigation cites this paper.

Enhancing Glass Surface Reconstruction via Depth Prior for Robot Navigation UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9732d0f1-c577-44c0-aba8-e1e9393b4398 · inbound

Enhancing Glass Surface Reconstruction via Depth Prior for Robot Navigation cites this paper.

Enhancing Glass Surface Reconstruction via Depth Prior for Robot Navigation UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T15:55:52.574444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b8d011e-9393-4c8f-bb85-9a05a41c3dac · inbound

Vista4D: Video Reshooting with 4D Point Clouds cites this paper.

Vista4D: Video Reshooting with 4D Point Clouds UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a01cc7a8-3b7a-4f90-8659-8b82a39ec52f · inbound

Depth-Aware Rover: A Study of Edge AI and Monocular Vision for Real-World Implementation cites this paper.

Depth-Aware Rover: A Study of Edge AI and Monocular Vision for Real-World Implementation UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c27904fa-58c1-4378-ad48-aefcfafec5d1 · inbound

DP-SfM: Dual-Pixel Structure-from-Motion without Scale Ambiguity cites this paper.

DP-SfM: Dual-Pixel Structure-from-Motion without Scale Ambiguity UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8ae2dcb0-fcb6-4247-b929-5ad0b7c89300 · inbound

HumanSplatHMR: Closing the Loop Between Human Mesh Recovery and Gaussian Splatting Avatar cites this paper.

HumanSplatHMR: Closing the Loop Between Human Mesh Recovery and Gaussian Splatting Avatar UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1ba6798c-8dc0-4fd3-8c51-321c1cb012b0 · inbound

HumanSplatHMR: Closing the Loop Between Human Mesh Recovery and Gaussian Splatting Avatar cites this paper.

HumanSplatHMR: Closing the Loop Between Human Mesh Recovery and Gaussian Splatting Avatar UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-22T11:04:47.747560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8f45ebb5-1e6f-4ce0-86f5-232c530539b5 · inbound

Anny-Fit: All-Age Human Mesh Recovery cites this paper.

Anny-Fit: All-Age Human Mesh Recovery UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a19c7248-e5a8-482a-9daf-a8a2abc8aa4e · inbound

CARD: A Multi-Modal Automotive Dataset for Dense 3D Reconstruction in Challenging Road Topography cites this paper.

CARD: A Multi-Modal Automotive Dataset for Dense 3D Reconstruction in Challenging Road Topography UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8dea20e6-b97b-4699-80af-e96f260b995a · inbound

The Midas Touch for Metric Depth cites this paper.

The Midas Touch for Metric Depth UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:11:04.541213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 43dfa3ae-25f8-43f2-87da-4adbdc1485bf · inbound

Unified Panoramic Geometry Estimation via Multi-View Foundation Models cites this paper.

Unified Panoramic Geometry Estimation via Multi-View Foundation Models UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:14:00.145054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a4641fb7-dfa1-4f75-b413-eb9c1735195d · inbound

SeeGroup: Multi-Layer Depth Estimation of Transparent Surfaces via Self-Determined Grouping cites this paper.

SeeGroup: Multi-Layer Depth Estimation of Transparent Surfaces via Self-Determined Grouping UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-06-29T13:03:26.470339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dcc22a32-625e-4368-90aa-b75277b4338f · inbound

Towards Consistent Video Geometry Estimation cites this paper.

Towards Consistent Video Geometry Estimation UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:13:16.084940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 74fd1354-a0ad-4033-ba8a-823218015c7d · inbound

Towards Consistent Video Geometry Estimation cites this paper.

Towards Consistent Video Geometry Estimation UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T12:54:17.375801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 598ebefa-4a46-4a40-b25a-02af46107d2f · inbound

Large Depth Completion Model from Sparse Observations cites this paper.

Large Depth Completion Model from Sparse Observations UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-06-29T08:23:15.293110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3e4ccebf-20c6-4dcf-aa08-2910650d6cf6 · inbound

VLM3: Vision Language Models Are Native 3D Learners cites this paper.

VLM3: Vision Language Models Are Native 3D Learners UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-06-29T07:53:14.007574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3a7561e5-88ed-404f-b19e-87b24d0a3680 · inbound

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion cites this paper.

{\alpha}Depth: Learning Single-Pass Soft Boundary Decomposition for Stereo Conversion UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-06-28T22:42:46.958398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7af145df-1964-4512-bebe-df10ba30396f · inbound

Honey, I Shrunk the Arc de Triomphe! cites this paper.

Honey, I Shrunk the Arc de Triomphe! UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:56:20.372579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ef8d0a47-b375-44c2-8b49-3dccf82ba0ba · inbound

Honey, I Shrunk the Arc de Triomphe! cites this paper.

Honey, I Shrunk the Arc de Triomphe! UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-06-29T15:13:31.791143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c9106692-9ac7-4456-9ffd-1f5b9c9f675a · inbound

DepthMaster: Unified Monocular Depth Estimation for Perspective and Panoramic Images cites this paper.

DepthMaster: Unified Monocular Depth Estimation for Perspective and Panoramic Images UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:58:02.592811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 70e5c7e9-f0f9-40fb-bddc-be8098280cf7 · inbound

SCOPE: Scale-Consistent One-Pass Estimation of 3D Geometry cites this paper.

SCOPE: Scale-Consistent One-Pass Estimation of 3D Geometry UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T06:09:37.597187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c70bd064-3eea-4f74-9ca3-e086f9ea81b9 · inbound

Can Single-View Mesh Reconstruction Generalize to Robot Camera Rotation? cites this paper.

Can Single-View Mesh Reconstruction Generalize to Robot Camera Rotation? UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-04T09:49:44.136530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dccb36eb-5733-4dd6-beeb-28df32ef234f · inbound

One Scene, Two Depths: Probing Geometric Ambiguity in Monocular Foundation Models cites this paper.

One Scene, Two Depths: Probing Geometric Ambiguity in Monocular Foundation Models UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T07:04:21.637436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d699c540-8e3f-40bc-9975-b24debc0ea99 · inbound

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World cites this paper.

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-06-30T06:54:20.928990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9095d70f-7703-4270-8524-b0392d6cfead · inbound

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World cites this paper.

AerialMetric: Benchmarking and Adapting UAV Monocular Metric Depth Estimation in the Real World UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:00.311284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88532e2e-4f16-4ed9-99d6-33583cd81d27 · inbound

LTM: Large-scale Terrain Model for Wildfire-prone Landscapes cites this paper.

LTM: Large-scale Terrain Model for Wildfire-prone Landscapes UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 75

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T02:46:42.934983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4928b776-b719-408f-b6bd-803fc7bf3f09 · inbound

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device cites this paper.

ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 52

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T01:46:41.326719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e54fc50c-49ae-4af0-a4dd-1b32279db32d · inbound

DGSfM: Depth-Guided Scale-Aware Global Structure-from-Motion cites this paper.

DGSfM: Depth-Guided Scale-Aware Global Structure-from-Motion UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-13T02:32:53.227563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87a4097f-76f1-411b-83f3-28324e130ad2 · inbound

X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras cites this paper.

X-Lens: Real-Time Metric Depth Estimation with Heterogeneous Cameras UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T06:16:23.295803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75867d58-7767-4496-b5a4-60dd58376bac · inbound

Reinforcing Egocentric Spatial Perception in Multimodal Large Language Models via Ego Scene Augmentation cites this paper.

Reinforcing Egocentric Spatial Perception in Multimodal Large Language Models via Ego Scene Augmentation UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T01:59:16.809240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73735029-e415-4136-9db1-98df445c89b9 · inbound

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement cites this paper.

MoGe-3: Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T16:34:23.629616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfd826a0-a06d-4b88-a36c-6c878af49e6b · inbound

DAPM: UAV Monocular Depth Estimation from Any Height, Pitch, Roll and FOV cites this paper.

DAPM: UAV Monocular Depth Estimation from Any Height, Pitch, Roll and FOV UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T07:32:51.723997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51b98ed6-641b-4035-800e-6ec707d18ad2 · inbound

DVPSFormer: Efficient Online Depth-aware Video Panoptic Segmentation for Autonomous Driving cites this paper.

DVPSFormer: Efficient Online Depth-aware Video Panoptic Segmentation for Autonomous Driving UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T00:42:16.905682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.