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Paper Citation Record · LEDGER

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth

As of 8 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2506.04612.

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

pith.paper-citation-record.v1
2506.04612 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:45:00.199382Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

73 of 73 outbound references displayed

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  • verified fuzzy54
  • unresolved18
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c53e137-6b65-4bea-8950-02685001d71a · outbound

This paper cites GAUDI: A neural architect for immersive 3d scene genera- tion.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth GAUDI: A neural architect for immersive 3d scene genera- tion

Reference 1

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Observation 6010251a-6a47-4f9a-9127-0d2019b29689 · outbound

This paper cites Escaping the sample trap: Fast and accurate epistemic uncertainty estimation with pairwise-distance estimators.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Escaping the sample trap: Fast and accurate epistemic uncertainty estimation with pairwise-distance estimators

Reference 2

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Observation c1ee7cc4-6aab-47b3-9fe8-a1f880700187 · outbound

This paper cites Normalizing flow ensem- bles for rich aleatoric and epistemic uncertainty modeling.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Normalizing flow ensem- bles for rich aleatoric and epistemic uncertainty modeling

Reference 3

Resolution
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Observation ee8febc1-0b75-4bbb-98bd-236a1905a137 · outbound

This paper cites Shedding light on large generative networks: Estimating epistemic uncer- tainty in diffusion models.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Shedding light on large generative networks: Estimating epistemic uncer- tainty in diffusion models

Reference 4

Resolution
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Source-reported events for the cited work

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Observation b7adb248-72b8-412f-9b98-820ed47573f5 · outbound

This paper cites AdaBins: Depth estimation using adaptive bins.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth AdaBins: Depth estimation using adaptive bins

Reference 5

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Observation 028bd87e-b160-4047-9e4b-400c11e450a1 · outbound

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

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 6

Resolution
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Source-reported events for the cited work

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Observation 5e29c87b-acb2-4b7a-82fe-1d5d2b97d17b · outbound

This paper cites Virtual KITTI 2.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Virtual KITTI 2

Reference 7

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Source-reported events for the cited work

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Observation 884f7293-fc6b-4ca4-b5ea-592ca02a91b2 · outbound

This paper cites Depth esti- mation via affinity learned with convolutional spatial propa- gation network.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Depth esti- mation via affinity learned with convolutional spatial propa- gation network

Reference 8

Resolution
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Source-reported events for the cited work

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Observation 71b8d168-d306-4c73-bf3d-fdfc14622fa4 · outbound

This paper cites Learning depth with convolutional spatial propagation network.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Learning depth with convolutional spatial propagation network

Reference 9

Resolution
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Source-reported events for the cited work

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

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Observation 7d2254fd-e6ad-4f00-a56e-50f7f4c1cd42 · outbound

This paper cites WAIC, but Why? Generative Ensembles for Robust Anomaly Detection.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth WAIC, but Why? Generative Ensembles for Robust Anomaly Detection

Reference 10

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Source-reported events for the cited work

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Observation 2449cccb-5e1b-44e2-9684-6b7a6cfb97a1 · outbound

This paper cites Deep reinforcement learning in a handful of trials using probabilistic dynamics models.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Deep reinforcement learning in a handful of trials using probabilistic dynamics models

Reference 11

Resolution
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Source-reported events for the cited work

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Observation a2075237-9037-4ec3-bfdc-8c74f896a0c9 · outbound

This paper cites Spar- sity agnostic depth completion.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Spar- sity agnostic depth completion

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation ad792d6e-2ca9-4144-910a-86521c33dfc8 · outbound

This paper cites Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation bd4d0671-bd2a-4f60-a902-74208b9b8609 · outbound

This paper cites Decomposition of un- certainty in bayesian deep learning for efficient and risk- sensitive learning.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Decomposition of un- certainty in bayesian deep learning for efficient and risk- sensitive learning

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 14b817f0-9b67-4c0a-878c-8d18ed1809e5 · outbound

This paper cites BERT: Pre-training of deep bidirectional trans- formers for language understanding.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth BERT: Pre-training of deep bidirectional trans- formers for language understanding

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 08272828-e2d5-42fb-abe6-4f4b807bb4c8 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Diffusion models beat gans on image synthesis

Reference 16

Resolution
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Source-reported events for the cited work

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Observation 7c9c54e5-c9b6-4221-b434-7eafadc6d2ef · outbound

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

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth An image is worth 16x16 words: Transformers for image recognition at scale

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 3135c51a-24fb-4bfb-b221-aee8265188ba · outbound

This paper cites Depthlab: Real-time 3d in- teraction with depth maps for mobile augmented reality.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Depthlab: Real-time 3d in- teraction with depth maps for mobile augmented reality

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation f7af70ea-f82d-4071-894e-09a7002a7e44 · outbound

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

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Depth map prediction from a single image using a multi-scale deep net- work

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation b4158edf-563d-48f5-80c2-2f5ad8fb7f1d · outbound

This paper cites Structure and content-guided video synthesis with diffusion models.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Structure and content-guided video synthesis with diffusion models

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation e7a979be-04e2-4605-9db5-753c5588fefe · outbound

This paper cites Deep ordinal regression net- work for monocular depth estimation.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Deep ordinal regression net- work for monocular depth estimation

Reference 21

Resolution
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Source-reported events for the cited work

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Observation 806c7777-e307-46c6-86da-6ed8a3cf44e9 · outbound

This paper cites Geowiz- ard: Unleashing the diffusion priors for 3d geometry estima- tion from a single image.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Geowiz- ard: Unleashing the diffusion priors for 3d geometry estima- tion from a single image

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 3318bd5e-eb9d-4015-a5db-6a14bdc89d03 · outbound

This paper cites Deep bayesian active learning with image data.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Deep bayesian active learning with image data

Reference 23

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Source-reported events for the cited work

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Observation cc47a432-1cc9-41b9-b6ac-91db0c09f529 · outbound

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

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Are we ready for autonomous driving? the KITTI vision benchmark suite

Reference 24

Resolution
verified fuzzy
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Observation 4aa6028d-6d93-4df1-847f-b40eca70a80e · outbound

This paper cites Masked autoencoders are scalable vision learners.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Masked autoencoders are scalable vision learners

Reference 25

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Source-reported events for the cited work

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Observation d7420989-0599-4067-8137-9202c62d4435 · outbound

This paper cites Towards fast and accurate real-world depth super- resolution: Benchmark dataset and baseline.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Towards fast and accurate real-world depth super- resolution: Benchmark dataset and baseline

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 0afe1d23-51a8-48c2-9843-2792687e9442 · outbound

This paper cites Denoising diffu- sion probabilistic models.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Denoising diffu- sion probabilistic models

Reference 27

Resolution
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Source-reported events for the cited work

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Observation e567dc02-ea70-46e8-ad6d-dd0b4275fa48 · outbound

This paper cites an unresolved cited work.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Unresolved cited work

Reference 28

Resolution
unresolved
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Source-reported events for the cited work

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

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Observation 8b7b2081-b572-4009-8651-02de06555e56 · outbound

This paper cites DDP: Diffusion model for dense visual prediction.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth DDP: Diffusion model for dense visual prediction

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation de8419d4-0c1c-466f-983e-0056e4e3ae1d · outbound

This paper cites Masked spatial propagation network for sparsity-adaptive depth re- finement.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Masked spatial propagation network for sparsity-adaptive depth re- finement

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 352f5927-ff51-4d6f-bdcb-1b67b1b83335 · outbound

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

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation cef8e5f4-b2df-4842-b0e3-36cfbd38f0c0 · outbound

This paper cites What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017

Reference 32

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Source-reported events for the cited work

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

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Observation d36e8cf2-436e-417a-b270-e9dd216cecd0 · outbound

This paper cites an unresolved cited work.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Unresolved cited work

Reference 33

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Source-reported events for the cited work

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

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Observation 602480b3-f809-4406-8784-053f72e79286 · outbound

This paper cites Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Batchbald: Efficient and diverse batch acquisition for deep bayesian active learning

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.861886Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.916285Z digest=sha256:ab985a369e2fef3e38eb69c6f630e27e5b226c4850fb6b9e1123cff629412450

Observation 42e6a6d8-fe02-4cd2-bd2d-ff5966245ba1 · outbound

This paper cites Continuously masked transformer for image inpainting.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Continuously masked transformer for image inpainting

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.849216Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.920871Z digest=sha256:60a50165a315fc1522cf747db351d995de8a42f4d742a31fcb56998867962b34

Observation 7c3e142f-84ca-42b1-9ad2-54c4b7c24ecf · outbound

This paper cites Simple and scalable predictive uncertainty estima- tion using deep ensembles.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Simple and scalable predictive uncertainty estima- tion using deep ensembles

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:59.926013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:59.926013Z digest=sha256:74b29ec7a882ca6903d33ebcfea86222239f2b1afd7760cce89b0f441a6199d5

Observation f63042cf-e5f1-4ccf-a0d6-193cbaca9981 · outbound

This paper cites Single-image depth estimation based on Fourier domain analysis.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Single-image depth estimation based on Fourier domain analysis

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.828981Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.931220Z digest=sha256:a732360eb40758ddda62df3cfd47250d25f7d771771933828d156ed5a6f1ca60

Observation 6f492167-3627-4942-9990-025d74086a60 · outbound

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

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:59.935366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:59.935366Z digest=sha256:7ed37f410e0969f6af86bece3ccb5abbb970cd8eb49dc8d88ac8c455531e3271

Observation 457a29aa-cb59-442c-9350-025d2ae2f5a5 · outbound

This paper cites Mat: Mask-aware transformer for large hole image in- painting.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Mat: Mask-aware transformer for large hole image in- painting

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.816059Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.939835Z digest=sha256:034532c294e198b195cf51485c66c415e8a850ac821ac63a73ead18341776ed1

Observation f9d02348-8415-4f87-b5f2-0bcde7e3bd8b · outbound

This paper cites Depthlab: From partial to complete.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Depthlab: From partial to complete

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:59.944850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:59.944850Z digest=sha256:a58d61422554fbc9abba702f7bda8628b581a429de767a6ca66b4d9526b84564

Observation e7507bac-77b1-4848-91e1-e7da8ba8bc91 · outbound

This paper cites Sparse-to-dense: Depth prediction from sparse depth samples and a single image.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Sparse-to-dense: Depth prediction from sparse depth samples and a single image

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.802944Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.949475Z digest=sha256:886fa18f949a49f9fe44c87632020734ae3a9bc91a16ce492ac59a9771e589cc

Observation a2890af7-f59d-4491-9ad7-f03e8a82fee4 · outbound

This paper cites Guided depth super-resolution by deep anisotropic diffusion.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Guided depth super-resolution by deep anisotropic diffusion

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.789849Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.953591Z digest=sha256:a6e3c610681f385379095d9c9542f90ff3aac41b4d69c2199642166c3afcea77

Observation 1a53ee27-8eb0-41f8-8986-be6a181c0356 · outbound

This paper cites Freecontrol: Training-free spatial control of any text-to-image diffusion model with any condition.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Freecontrol: Training-free spatial control of any text-to-image diffusion model with any condition

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:59.957694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:59.957694Z digest=sha256:38656c4e7f7d333b6bb6d2296d29d326eaf7bb76b688a2b551a9674d096ba57b

Observation 09a75897-af15-4c7c-b1a0-6f70ee894c2c · outbound

This paper cites Semattnet: Toward attention- based semantic aware guided depth completion.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Semattnet: Toward attention- based semantic aware guided depth completion

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.768982Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.962241Z digest=sha256:c5e30ae83ed28d0dc4800236d622d26154b14562bb3d2810ba3bf61d6111150e

Observation 02c1a226-c297-45bc-92df-0258dfe4c7a1 · outbound

This paper cites Non-local spatial propagation network for depth completion.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Non-local spatial propagation network for depth completion

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.755497Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.966167Z digest=sha256:5219222c95216a66afd7f8aa74908b1f0e01d1b72cef0f3b3d24285f8649393b

Observation 1b249b75-09c0-47fc-977e-aa9b8ee450cc · outbound

This paper cites Depth prompting for sensor-agnostic depth estimation.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Depth prompting for sensor-agnostic depth estimation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.743922Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.970438Z digest=sha256:2871111a9da2a8f5182e1885f570663e08bceec0e27db1ee5e0656d40cffb442

Observation 4b72fc6a-a142-43d5-8509-920a6ead41b2 · outbound

This paper cites Ecodepth: Effective conditioning of diffusion models for monocular depth estimation.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Ecodepth: Effective conditioning of diffusion models for monocular depth estimation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.731695Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.974684Z digest=sha256:212af2c96242b06be42dce012c3255f5b533575c82132c99a7bb10c202aa19a4

Observation 28287598-ee20-4810-89cf-3a3ec54c38c8 · outbound

This paper cites The Hidden Uncertainty in a Neural Networks Activations.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth The Hidden Uncertainty in a Neural Networks Activations

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:45:00.341646Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.979228Z digest=sha256:09bc6c2a41e40d7fc25f35418dce707ed2c1e27eb88d6c6d72153e7f7da7fe78

Observation 61e5c18a-582b-4131-a192-addf3c9f19e8 · outbound

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

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Towards robust monocu- lar depth estimation: Mixing datasets for zero-shot cross- dataset transfer

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.719304Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.984137Z digest=sha256:de2cf7fd11e38f75c9daee79d2475e76a3794dd3b9f39da38c716c2cc366a66f

Observation 709e2d2c-ff22-42eb-9553-dd8d7426aaca · outbound

This paper cites Hypersim: A photorealistic syn- thetic dataset for holistic indoor scene understanding.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Hypersim: A photorealistic syn- thetic dataset for holistic indoor scene understanding

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.707286Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.988572Z digest=sha256:07d331fe6697a8069b007bcb4768289c25b5e050703b43f6f8e7fda5dc5c9841

Observation 007b8614-0800-4e65-a492-e75fd0f61c1b · outbound

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

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth High-resolution image syn- thesis with latent diffusion models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:59.993262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:59.993262Z digest=sha256:7389cd05899567b541af94c2ae72c181e72ff90c64bdec90998ab973baeb378b

Observation f534f4d4-2787-4c3c-a5d2-fca6c9bbefa8 · outbound

This paper cites The surprising effectiveness of diffusion models for optical flow and monocular depth estimation.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth The surprising effectiveness of diffusion models for optical flow and monocular depth estimation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.686945Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:44:59.998323Z digest=sha256:dd1b088c420bc07be05db01a349a4fdea3690aa7ac5c6ab9d0d4648a5fd9577a

Observation 7d908703-4eff-473a-be90-eaef579a8289 · outbound

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

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Laion-5B: An open large-scale dataset for training next generation image-text models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.675390Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.002631Z digest=sha256:0b3c566a8ee5b7ed02af608518e00f73695f60cc528f2ebb2532566b7f88f0e6

Observation 34ca2852-48d8-46b1-b910-0689fd74794c · outbound

This paper cites Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T10:45:00.007572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:45:00.007572Z digest=sha256:218181e0df1743c1730d9ed05dfacebbdc8c9ab66ae192d159f623c2f9d5e303

Observation d4ab8f04-bc85-4121-a3ae-2cb44a39131a · outbound

This paper cites Indoor segmentation and support inference from RGBD images.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Indoor segmentation and support inference from RGBD images

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.663264Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.012505Z digest=sha256:50d673036934bc3f3fbeb48a56294679c05990c5ca7e1a782fa86e7736eb3a16

Observation b66dbe58-a812-444a-acd9-2f09e78c01a9 · outbound

This paper cites Denois- ing diffusion implicit models.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Denois- ing diffusion implicit models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T10:45:00.017070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:45:00.017070Z digest=sha256:b67dcc0c3ca3aa008f82cdde34bc7a3ae769c2480b18d23c8679f093df9fe42e

Observation 64cad831-87e3-476e-ad32-175bb27fb714 · outbound

This paper cites Dif- fusion models for monocular depth estimation: Overcoming challenging conditions.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Dif- fusion models for monocular depth estimation: Overcoming challenging conditions

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.642888Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.021597Z digest=sha256:e776e860528da2153046e0ec38b4875489ad51a6888d3eb31efb2710bb17f6ce

Observation ee1fa71f-f460-44f9-889c-a76a12062b49 · outbound

This paper cites Maxvit: Multi-axis vision transformer.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Maxvit: Multi-axis vision transformer

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.630829Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.025951Z digest=sha256:b34b5bb3894127c3166dc10c2bd8c0ab7fe912239a7ec666526e334cf1fc79e7

Observation 0466c9ff-ba45-43c4-b572-0a0b33548370 · outbound

This paper cites DIODE: A Dense Indoor and Outdoor DEpth Dataset.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth DIODE: A Dense Indoor and Outdoor DEpth Dataset

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T10:45:00.030465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:45:00.030465Z digest=sha256:6c39a050865ab2c093f2b1fec1af57f7df4fc9547b21799f407aea03563cdc3e

Observation 6cf2610d-1dd9-410f-acee-f76ed5e5c946 · outbound

This paper cites High-fidelity pluralistic image completion with transform- ers.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth High-fidelity pluralistic image completion with transform- ers

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.618919Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.035208Z digest=sha256:16c4799526d27dd133e0e1cced8d1a55f6d73d29f2c0210d5768de740428af01

Observation 3939f0df-902d-41f7-8efe-2a5f87e57112 · outbound

This paper cites Lrru: Long-short range recurrent updating networks for depth completion.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Lrru: Long-short range recurrent updating networks for depth completion

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.606984Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.039833Z digest=sha256:8837ba00deae29ee5e66b34a3a93e9cae24d2e17bdd54a1889a51e469ff240ee

Observation a64d336f-92b3-4e7c-9ad1-a04139a0941e · outbound

This paper cites Deep3D: Fully automatic 2D-to-3D video conversion with deep convolu- tional neural networks.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Deep3D: Fully automatic 2D-to-3D video conversion with deep convolu- tional neural networks

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.594677Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.044273Z digest=sha256:eb845bf0c7e3ae9ad91182fd7e8095181c922522a1e4d503d07539e7cfa677a9

Observation 65ea5de0-7c2f-4e02-85fd-a9fff073fd4c · outbound

This paper cites SimMIM: A simple framework for masked image modeling.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth SimMIM: A simple framework for masked image modeling

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.581158Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.048809Z digest=sha256:dbc37e84a93040eec4f6617978e6ece2f5f061416252b9f43f1ac7f176b9c5dc

Observation 4d50a0f0-15b1-4e86-8b5e-97fdcbd2fa14 · outbound

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

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Depth Anything: Unleashing the power of large-scale unlabeled data

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.569139Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.054578Z digest=sha256:e8fb07a5c365cafe735732ffe506d265a1bb862ff662d8f952c4f15fef970ea0

Observation 680d1cf3-9caf-4ae6-8eaa-dc3bfb83d44d · outbound

This paper cites Depth Anything V2.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Depth Anything V2

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T10:45:00.063267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:45:00.063267Z digest=sha256:b57711c3dc0256341c293e4281b1290dd1f6fbdab9f9cdfc9470ca6767e90a62

Observation ce0eb598-d63c-4659-894c-c8e9498ca6a0 · outbound

This paper cites Aggregating feature point cloud for depth completion.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Aggregating feature point cloud for depth completion

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.557432Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.081451Z digest=sha256:118dd0994da82eeca8188731271a8cd7b29f9edd432b256324be4e4b61a2eedb

Observation 4be190a3-4804-4bfe-8a1a-8322b685b491 · outbound

This paper cites 3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth 3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.545460Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.098721Z digest=sha256:db125d36f8c611326d0fa9f8286294320f7075e80b10c277a0e2ef758da5b723

Observation 598fc834-7140-4f35-be28-3ec9483d1dcc · outbound

This paper cites Joint- net: Extending text-to-image diffusion for dense distribution modeling.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Joint- net: Extending text-to-image diffusion for dense distribution modeling

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.532920Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.118288Z digest=sha256:743031c5032782ac48de6b59e55a4ad391d9aa3eb20bac79c847ce0d815e6203

Observation 0860bc07-8622-451d-837b-47e3e2ccfb1d · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Adding conditional control to text-to-image diffusion models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T10:45:00.136774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:45:00.136774Z digest=sha256:8409d6931feb280e8d77f2a198e090358e4d8428f70cd4b8aa61b5b8dd9efac1

Observation 5b655dfc-f180-43a0-be3e-528a3d33e114 · outbound

This paper cites Completionformer: Depth completion with convolutions and vision transform- ers.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Completionformer: Depth completion with convolutions and vision transform- ers

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.512689Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.152050Z digest=sha256:7071a66b1acafbb032a31f921a04236f45195d7e7d3a5ef9d361c12dee5dc9aa

Observation 1d48dce8-bdc3-4e3d-8601-e1c27bb7ad60 · outbound

This paper cites Unleashing text-to-image diffusion models for visual perception.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Unleashing text-to-image diffusion models for visual perception

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.500859Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.167558Z digest=sha256:cb46d9833d1d18fd82e6f0290008247153e087c4f56506f2dc1900c871c6fbf3

Observation 846bf196-5eff-4cf9-8a7f-4582a5873128 · outbound

This paper cites Discrete cosine transform network for guided depth map super-resolution.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Discrete cosine transform network for guided depth map super-resolution

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.488361Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.182450Z digest=sha256:759efb26b620dd394a4d3ab74be3ceac08973720edbaa94b0f985aa58c0fe404

Observation 9f69bd71-6c32-4152-a7cf-96d19f7a9204 · outbound

This paper cites Spherical space feature decomposition for guided depth map super-resolution.

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth Spherical space feature decomposition for guided depth map super-resolution

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:45:00.475437Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:45:00.199382Z digest=sha256:462092df543d7f702da2f1fd6543031cb24d612e84907beb0b06070aa117fd3f

Pith citing papers

No inbound Pith citation observations are available.