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Paper Citation Record · LEDGER

Perfecting Depth: Uncertainty-Aware Enhancement of Metric Depth

As of 19 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 2026-08-18T06:34:40.430872+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
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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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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

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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
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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

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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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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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

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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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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
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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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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
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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
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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

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

Reference 28

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Source-reported events for the cited work

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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 2026-08-18T06:34:40.430872+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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

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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

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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 2026-08-18T06:34:40.430872+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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.916285Z digest=sha256:8ddfd6cf2bb58983b6a68405a2813ecf968b6693abdc73e6727c2289d22e2174

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.920871Z digest=sha256:1dbefcf643268878e802c192397160a2c943318e1cedbb6a64995ab24614fb96

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=sha256:28b4b7d4b5f363eb0305e781dfdd6843d97732e87d93b1063c766b0b0bce6ceb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.931220Z digest=sha256:7e443c1f5b8a1e83579606decaef54392deb5d70bdbda4a9b09e6541cdcdbe6c

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=sha256:3dca7b4510689d350a3dd8c0b6ac71bf24d78fbdbc8034adcbdba1f75d922cc5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.939835Z digest=sha256:26670a9a84018c47b1c8e37565791eda379ed495e0136ed88d3cc0d65bcd5a9b

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:abe8801e681c7f27c8ea994ecc87c0241bf293b7bf9542ae459c0fcedd2a8183

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.949475Z digest=sha256:874aa22d61843e8000f9b114efdbe84a3703ff33d800e6f89b80534afa77507a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.953591Z digest=sha256:355d016442948b24c6223cd7cd78d485ce2a3d3b0fae2caaad619c49fd1bd46d

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=sha256:6587ba421bcb75212c34f18763777f3b001bea0abdd33003b74cdb40dc1e16c0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.962241Z digest=sha256:6f058aaab8ff2f989177ee986dd7b8ae415bf17f2bdafaa8fe688575d7ae4ed7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.966167Z digest=sha256:7ce1cc548a5b72bc95b7586e66e1d0abc31a6ae54e54b809535c95d218ae1b27

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.970438Z digest=sha256:b7c1a6474923ac55372ac1ec56e7aaa9c052c1c6db8afbe87b443a8e28a4b167

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.974684Z digest=sha256:7d3a85ce88fd163d31d8ec8b10f06c9a935fae80965c0796b16c93010aaeb633

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.979228Z digest=sha256:92a0c065aa24e72b5a9b4a9fa86c3096dbba7a7912f06c3c572f464b1c074e60

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.984137Z digest=sha256:64571e6c67705653251696e73aa60ea3972c3c1b371fa96032f5f0db1a1c28c0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.988572Z digest=sha256:bcb0f7797d68f16a8f20a225cae61a994820e77597c5c7f0cb71d05b6f7453b4

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=sha256:2ceaf9fd267f972178536b7ea0640bece40ebba250a584ae4c051811475c393e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:44:59.998323Z digest=sha256:0d3d6372403572afa51db92525b70d12d2863982998f46ee9ee5a3c7f785d382

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.002631Z digest=sha256:ac1de7723f86760fd4cb0497083e191a23523fe2d69e80eb971c3b5e97523ce4

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=sha256:97121ed33d24c172e9d0d4c79de9fddd10b0c9639c13780059c18778804bda90

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.012505Z digest=sha256:5ab10fc1fe92b61ffd4f2fadf0b3a7a117ece2490cfb5ad4de418511e0be89a5

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:ef91b96dd4485c189b0d5b6c402758d28c3dfda62638e32d91b6458592542a19

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.021597Z digest=sha256:6d91577102f2aa3f0d5312cfdc4b25d73955da2596b554410dd5426ad97a7526

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.025951Z digest=sha256:a4485163b784ccc6e0755dcd0c1f72230c201820b900a85997cd0c102f882427

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=sha256:33481773c6f8ea65a4bd221b39397224fbb48e29f1e817f9a06c65ccffb5b07f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.035208Z digest=sha256:fa31827cdb5bff6ae8fe4fdc4590ed525ac50a17da08ed42ab1ed8cfd0b7263a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.039833Z digest=sha256:3a6145e95916cd37d3f47074bd250b99d5ccb8950abe9da44fff906be3d753bb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.044273Z digest=sha256:ebe5f22adcc5439dba09887269e53182d051f5a9ba6698a26a90c8fab38b56c6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.048809Z digest=sha256:a9b0d469650547a872d395ee658c97f88bd865234b7dd908473cae11206229bb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.054578Z digest=sha256:f0b7ed0d2eb7f53476ec2b8f571b3fc8ff77879ec13c7b77929e871de5fa58d0

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:e6a998cd23be9ac83eb6e8b896598ad471158c208419f8fcb646325bbafc8e11

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.081451Z digest=sha256:0d11b997e1fcf7fb39e96de1b736fe012f16c6d91bc5242e9e737036db945a51

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.098721Z digest=sha256:b3aa32e19ef876977675ad552f6e7bce446e620aa774a6af4079321bceec8cfe

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.118288Z digest=sha256:34a8242c1f125b05745ecc6c7bc2182883ab185cbcbdab810e311251356c9ef0

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=sha256:2f4db6b612aeaac2bcf86f9a5cc08c4b138e5ec2de4f54e1d8984fcafab4db38

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.152050Z digest=sha256:ca34122d9d1e72ae05b21ab0eef40e743b46e4a657c2e98b7933fee690bf8ce5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.167558Z digest=sha256:ee19254cfb185cd04fb2355a7bb8be4b869e3608cb4070c97356c1e93c5f15b6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.182450Z digest=sha256:fdca78eb723407b3630ec904f9c1ff5c89600dab46f958721b499a3fbf272fa7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:45:00.199382Z digest=sha256:609e39ec000c2edee1787a47e3695ba5eb032920a03921573a987bf28e9f069f

Pith citing papers

No inbound Pith citation observations are available.