Paper Citation Record · LEDGER

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

As of 13 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 10 inbound Pith citation observations for arXiv:2412.13389.

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

pith.paper-citation-record.v1
2412.13389 v2

Coverage vector

measured 93 of 93 reference resolution

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measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

93 of 93 outbound references displayed

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External citation measurements

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Outbound references

Observation 177ca869-89fe-4882-980a-ebf49f59f499 · outbound

This paper cites Universal guidance for diffusion models.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Universal guidance for diffusion models

Reference 1

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Observation 6b84fe05-1d30-4b51-a820-4528b95cff5e · outbound

This paper cites Revisiting depth completion from a stereo matching perspective for cross-domain generalization.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Revisiting depth completion from a stereo matching perspective for cross-domain generalization

Reference 2

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Observation cb72b59a-9d78-4ad9-a15a-77887d18eef3 · outbound

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 3

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Observation 6d1aabd2-d732-4ebe-89dc-78bec229dd16 · outbound

This paper cites Virtual KITTI 2.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Virtual KITTI 2

Reference 4

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Observation 0da221da-6def-4673-b705-c20f1496c140 · outbound

This paper cites Learn- ing joint 2d-3d representations for depth completion.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Learn- ing joint 2d-3d representations for depth completion

Reference 5

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Observation 0045bb06-d5b8-4a2c-ab17-1cb5b0ffddb4 · outbound

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Depth esti- mation via affinity learned with convolutional spatial propa- gation network

Reference 6

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Observation 16dd88e0-ae41-4a33-956c-347311c53faf · outbound

This paper cites CSPN++: Learning context and resource aware convolutional spatial propagation networks for depth completion.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion CSPN++: Learning context and resource aware convolutional spatial propagation networks for depth completion

Reference 7

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Observation 94f13f2d-0d8d-48de-bca3-f01f0b6143e0 · outbound

This paper cites Deep convolutional compressed sensing for lidar depth completion.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Deep convolutional compressed sensing for lidar depth completion

Reference 8

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Observation 17ef0e6e-71b4-4419-a7e9-19ab269411c6 · outbound

This paper cites Diffusion posterior sampling for general noisy inverse problems.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Diffusion posterior sampling for general noisy inverse problems

Reference 9

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Observation 328b9612-d417-473e-84c5-844680d6b5b9 · outbound

This paper cites Prompt-tuning latent diffusion models for inverse problems.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Prompt-tuning latent diffusion models for inverse problems

Reference 10

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Observation 9770326a-8c45-4b8e-8b39-3a22f0c67223 · outbound

This paper cites Unsupervised confidence for LiDAR depth maps and applications.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Unsupervised confidence for LiDAR depth maps and applications

Reference 11

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Observation a88fc8d3-e112-4e36-bf6e-7f809ab0fb71 · outbound

This paper cites Spar- sity agnostic depth completion.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Spar- sity agnostic depth completion

Reference 12

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Chang, Manolis Savva, Maciej Hal- ber, Thomas Funkhouser, and Matthias Nießner

Reference 13

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Observation 7d456967-3ad1-46bf-af54-3172b3bbb725 · outbound

This paper cites Dimakis, and Mauricio Delbracio.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Dimakis, and Mauricio Delbracio

Reference 14

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Observation 0464b2c9-5abf-4559-84e5-f42f4dbf1a27 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Diffusion Models Beat GANs on Image Synthesis

Reference 15

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Observation 28214de8-c36c-4d6b-95cc-ff568eced2bb · outbound

This paper cites An image is worth 16×16 words: Transformers for image recognition at scale.International Conference on Learning Representations (ICLR), 2021.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion An image is worth 16×16 words: Transformers for image recognition at scale.International Conference on Learning Representations (ICLR), 2021

Reference 16

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Observation 851c1e4c-4e61-4fff-b398-f2b5837bb127 · outbound

This paper cites DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation

Reference 17

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Observation c8792ce7-e8cb-4586-908f-3a73b2444a12 · outbound

This paper cites Tweedie’s formula and selection bias.Journal of the American Statistical Association, 106(496):1602–1614,.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Tweedie’s formula and selection bias.Journal of the American Statistical Association, 106(496):1602–1614,

Reference 18

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Observation f7448ad6-07f2-4765-a52e-a6a757d03ed5 · outbound

This paper cites The hugging face diffusion models course.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion The hugging face diffusion models course

Reference 19

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Observation 2f833501-ff4c-48dd-8491-4761afb60c84 · outbound

This paper cites Fine- tuning image-conditional diffusion models is easier than you think.arXiv preprint arXiv:2409.11355, 2024.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Fine- tuning image-conditional diffusion models is easier than you think.arXiv preprint arXiv:2409.11355, 2024

Reference 20

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Are we ready for autonomous driving? the KITTI vision benchmark suite

Reference 21

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Observation 6c581692-9554-4c31-8817-bc2c829800cc · outbound

This paper cites Gradpaint: Gradient-Guided Inpainting with Diffusion Models.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Gradpaint: Gradient-Guided Inpainting with Diffusion Models

Reference 22

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Observation 950db42b-4495-48ff-ab42-0794731a3b34 · outbound

This paper cites SteeredMarigold: Steering Diffusion Towards Depth Completion of Largely Incomplete Depth Maps.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion SteeredMarigold: Steering Diffusion Towards Depth Completion of Largely Incomplete Depth Maps

Reference 23

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Observation fd8af60f-977f-424a-bd14-1dfa3c67ea35 · outbound

This paper cites DepthFM: Fast Monocular Depth Estimation with Flow Matching.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion DepthFM: Fast Monocular Depth Estimation with Flow Matching

Reference 24

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion 3d packing for self-supervised monocular depth estimation

Reference 25

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Observation cb7b79b2-bc80-48b7-9c14-26f1a0b80548 · outbound

This paper cites Deep residual learning for image recognition.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Deep residual learning for image recognition

Reference 26

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Observation 95942fb0-35c2-4815-9fea-439c4c9ee92f · outbound

This paper cites Classifier-free diffusion guidance.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Classifier-free diffusion guidance

Reference 27

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Observation a71c353c-bee6-4759-801e-92dd3742a4f7 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Denoising Diffusion Probabilistic Models

Reference 28

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This paper cites Zero-shot depth completion via test-time alignment with affine-invariant depth prior.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Zero-shot depth completion via test-time alignment with affine-invariant depth prior

Reference 29

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Observation 64abb24a-2c87-4270-a5b4-5b2293b2754c · outbound

This paper cites Depth coefficients for depth completion.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Depth coefficients for depth completion

Reference 30

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Observation aed20cc5-b865-4f10-bfb3-898b6dfc9f02 · outbound

This paper cites Depth comple- tion with twin-surface extrapolation at occlusion boundaries.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Depth comple- tion with twin-surface extrapolation at occlusion boundaries

Reference 31

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion DDP: Diffusion model for dense visual prediction

Reference 32

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 33

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This paper cites Adam: A method for stochastic optimization.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Adam: A method for stochastic optimization

Reference 34

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This paper cites Evaluation of cnn-based single-image depth estima- tion methods.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Evaluation of cnn-based single-image depth estima- tion methods

Reference 35

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Observation 9d8525fc-0170-4233-bb84-564cce76e3a8 · outbound

This paper cites In defense of classical image processing: Fast depth completion on the cpu.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion In defense of classical image processing: Fast depth completion on the cpu

Reference 36

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This paper cites A multi-scale guided cascade hourglass network for depth completion.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion A multi-scale guided cascade hourglass network for depth completion

Reference 37

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Observation 4c4b82c1-e430-41c4-a4d0-6959169898c0 · outbound

This paper cites Joint Pedestrian Trajectory Prediction through Posterior Sampling.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Joint Pedestrian Trajectory Prediction through Posterior Sampling

Reference 38

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Observation db50f24b-47b5-4254-86e5-b1374f2fabb4 · outbound

This paper cites Prompting depth anything for 4k resolution accurate metric depth estimation, 2025.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Prompting depth anything for 4k resolution accurate metric depth estimation, 2025

Reference 39

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This paper cites DySPN: Learning dynamic affinity for image- guided depth completion.IEEE Transactions on Circuits and Systems for Video Technology, pages 1–1, 2023.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion DySPN: Learning dynamic affinity for image- guided depth completion.IEEE Transactions on Circuits and Systems for Video Technology, pages 1–1, 2023

Reference 40

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Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Unresolved cited work

Reference 41

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Observation a1932c46-3a19-4e65-b1a2-510d2e70df55 · outbound

This paper cites FCFR-Net: Fea- ture fusion based coarse-to-fine residual learning for depth completion.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion FCFR-Net: Fea- ture fusion based coarse-to-fine residual learning for depth completion

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:50.237255Z

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Observation 534b127a-5df7-4706-840e-69e58ad3e7ac · outbound

This paper cites Learning affinity via spa- tial propagation networks.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Learning affinity via spa- tial propagation networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:50.215168Z

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Observation ef312e66-7bee-4cc2-a502-74f21bae4960 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 44

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Swin transformer: Hierarchical vision transformer using shifted windows

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:50.195752Z

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Observation 5e2e3a21-42df-425e-8ee8-02d2e8301015 · outbound

This paper cites DepthLab: From partial to complete.arXiv preprint arXiv:2412.18153, 2024.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion DepthLab: From partial to complete.arXiv preprint arXiv:2412.18153, 2024

Reference 46

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Sparse-to-dense: Depth prediction from sparse depth samples and a single image

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:50.168988Z

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Observation 78794474-4b17-4f9a-a94d-57b19d74e85c · outbound

This paper cites Self-supervised sparse-to-dense: Self-supervised depth completion from LiDAR and monocular camera.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Self-supervised sparse-to-dense: Self-supervised depth completion from LiDAR and monocular camera

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:50.149041Z

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Observation c34b8ed8-d53f-47f4-a7c7-dd7ea2d76bf5 · outbound

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Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Unresolved cited work

Reference 49

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Observation 65f8dace-5585-4190-8615-22b0c979eb59 · outbound

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Indoor segmentation and support inference from RGBD images

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:50.085597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fe4361bb-9fc3-43e0-a48b-a7d4a8a5f7ce · outbound

This paper cites Improved Denoising Diffusion Probabilistic Models.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Improved Denoising Diffusion Probabilistic Models

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Resolution: unresolved; no resolver link, observed 2026-08-11T13:14:47.665684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9f5e077-73a1-4e1f-a353-651207c6124c · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T13:14:47.671885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc3fc3f6-2263-4e24-bbef-804765ba0002 · outbound

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion DINOv2: Learning Robust Visual Features without Supervision

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Resolution: unresolved; no resolver link, observed 2026-08-11T13:14:47.680425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8daf996-81f6-4d73-b7cb-742138dd0b29 · outbound

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Non-local spatial propagation network for depth completion

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:50.063868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e1167722-1ee7-4e57-92e6-0596345e928c · outbound

This paper cites DeepLi- DAR: Deep surface normal guided depth prediction for out- door scene from sparse LiDAR data and single color image.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion DeepLi- DAR: Deep surface normal guided depth prediction for out- door scene from sparse LiDAR data and single color image

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:50.045229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6db7cb3a-954d-4db6-9a9e-eb552cec6bd4 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Learning Transferable Visual Models From Natural Language Supervision

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T13:14:47.712351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01b6ccc1-7c0b-4b86-bdaa-910efe57dc39 · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2020.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2020

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:50.018026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ee0b753c-8828-44d9-a3a3-003d9b9936c8 · outbound

This paper cites Guide- Former: Transformers for image guided depth completion.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Guide- Former: Transformers for image guided depth completion

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.984920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 41630686-6d6d-4223-9a8d-cc4eee0bd653 · outbound

This paper cites Susskind.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Susskind

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.952861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ae095b4-4c65-4dc0-a0a3-8eecd4223b68 · outbound

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion High-resolution image synthesis with latent diffusion models

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.926918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 737dc632-3648-4504-95c4-3a39babbaee9 · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion U-Net: Convolutional networks for biomedical image segmentation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.899314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 66f648cd-089e-47fc-a727-a57508fbc895 · outbound

This paper cites Solving linear inverse problems provably via posterior sampling with la- tent diffusion models.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Solving linear inverse problems provably via posterior sampling with la- tent diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.874065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b1e90ea7-a827-4905-ac34-460a8a9842d3 · outbound

This paper cites Berg, and Li Fei-Fei.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Berg, and Li Fei-Fei

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T13:14:47.773567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4f3e183-6f3c-4653-b490-79680d15b35b · outbound

This paper cites Palette: Image-to-image diffusion models.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Palette: Image-to-image diffusion models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.834248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation af03ca08-44f8-4ea0-a1a6-e4e629a4bff5 · outbound

This paper cites Pho- torealistic text-to-image diffusion models with deep language understanding.Advances in Neural Information Processing Systems (NeurIPS), 35:36479–36494, 2022.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Pho- torealistic text-to-image diffusion models with deep language understanding.Advances in Neural Information Processing Systems (NeurIPS), 35:36479–36494, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.810815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c25dae8d-16d6-4dd5-9b57-a9d67f97f4a3 · outbound

This paper cites The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation

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Resolution: verified exact; local_arxiv, observed 2026-08-11T13:14:48.226462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0d667ea9-8132-4be0-9bd9-b73e0d5570bd · outbound

This paper cites Monocular Depth Estimation using Diffusion Models.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Monocular Depth Estimation using Diffusion Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T13:14:47.804975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e41b558d-643a-4941-a5cc-a178402d43c3 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.Advances in Neural Informa- tion Processing Systems (NeurIPS), 35:25278–25294, 2022.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion LAION-5B: An open large-scale dataset for training next generation image-text models.Advances in Neural Informa- tion Processing Systems (NeurIPS), 35:25278–25294, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.787826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f51d3bba-a9d5-4130-87d8-06510ce5a855 · outbound

This paper cites DeCoTR: Enhancing depth completion with 2d and 3d attentions.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion DeCoTR: Enhancing depth completion with 2d and 3d attentions

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.763108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3e58cfbf-59e5-4203-b92a-e8a7f6323b00 · outbound

This paper cites Denoising Diffusion Implicit Models.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Denoising Diffusion Implicit Models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T13:14:47.824955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c348d65-36b2-4cf7-8416-c15f75a2c5db · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Generative modeling by estimating gradients of the data distribution

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.721362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eeb74c7d-dae4-4a60-92c2-1e618f939ef2 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Score-based generative modeling through stochastic differential equations

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.693462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a3396e20-cb8e-4513-9e50-c04baee9685b · outbound

This paper cites Learning guided convolutional network for depth comple- tion.IEEE Transactions on Image Processing, 30:1116–1129,.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Learning guided convolutional network for depth comple- tion.IEEE Transactions on Image Processing, 30:1116–1129,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.665125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0a5f7f1c-1b9b-4dfb-a0bc-f4571d469e0b · outbound

This paper cites Bilateral propagation network for depth completion.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Bilateral propagation network for depth completion

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.641377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8ee36f65-17f4-4527-a598-4d1ed1e1c690 · outbound

This paper cites Sparsity invariant CNNs.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Sparsity invariant CNNs

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.614801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e90f89ac-4d18-4683-b3fb-69bf7b8cb92b · outbound

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion LRRU: Long-short range recurrent updating networks for depth completion

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.581504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 14b92a07-7fac-4d52-8888-d26e7bcf8a37 · outbound

This paper cites Unsupervised depth completion from visual inertial odome- try.IEEE Robotics and Automation Letters, 5(2):1899–1906,.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Unsupervised depth completion from visual inertial odome- try.IEEE Robotics and Automation Letters, 5(2):1899–1906,

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Resolution: unresolved; no resolver link, observed 2026-08-11T13:14:47.875239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0955f442-9426-4110-9422-3f631aa80f34 · outbound

This paper cites Sparse-to-dense depth completion revis- ited: Sampling strategy and graph construction.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Sparse-to-dense depth completion revis- ited: Sampling strategy and graph construction

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.244593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2db37eef-398d-4002-b0d1-a8d439ffe787 · outbound

This paper cites Depth completion from sparse Li- DAR data with depth-normal constraints.IEEE/CVF Interna- tional Conference on Computer Vision (ICCV), pages 2811– 2820, 2019.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Depth completion from sparse Li- DAR data with depth-normal constraints.IEEE/CVF Interna- tional Conference on Computer Vision (ICCV), pages 2811– 2820, 2019

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.218423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation badafa23-a9c1-475d-9344-baeb81d9589c · outbound

This paper cites Tri-perspective view decomposition for geometry-aware depth completion.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Tri-perspective view decomposition for geometry-aware depth completion

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.190255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e087b718-035d-40ab-beec-f20783ec6fb2 · outbound

This paper cites Depth anything: Unleashing the 11 power of large-scale unlabeled data.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Depth anything: Unleashing the 11 power of large-scale unlabeled data

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.167800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 17b88e82-2945-4aad-8828-79df1c6afc0f · outbound

This paper cites Depth Anything V2.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Depth Anything V2

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T13:14:47.907802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bda2651-aace-4d8a-bc1b-f4e4a53b0cc2 · outbound

This paper cites DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T13:14:47.915187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f331ee86-7411-494a-bb41-7e06e1ce8396 · outbound

This paper cites WonderWorld: Interactive 3D Scene Generation from a Single Image.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion WonderWorld: Interactive 3D Scene Generation from a Single Image

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Resolution: unresolved; no resolver link, observed 2026-08-11T13:14:47.923534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8aef87b-996f-4d29-a529-d8381ca3f935 · outbound

This paper cites Aggregating feature point cloud for depth completion.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Aggregating feature point cloud for depth completion

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.144443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f8359643-1bf8-48d3-abf8-f73b9b2d18b6 · outbound

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

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Adding conditional control to text-to-image diffusion models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.103120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b24c3fc2-9844-474e-b5c2-8a38594c43f8 · outbound

This paper cites Funkhouser.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Funkhouser

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.055881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 684d761a-5af9-4325-9103-a71da9940f8a · outbound

This paper cites CompletionFormer: Depth completion with convolutions and vision transformers.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion CompletionFormer: Depth completion with convolutions and vision transformers

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:49.008250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a60150a3-da6d-47d7-a81c-05d1e4754bb4 · outbound

This paper cites Adaptive context-aware multi-modal network for depth completion.IEEE Transactions on Image Processing (TIP), 30:5264–5276, 2021.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Adaptive context-aware multi-modal network for depth completion.IEEE Transactions on Image Processing (TIP), 30:5264–5276, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:48.980505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ee830df3-fca5-4262-8319-979a20894047 · outbound

This paper cites Unleashing Text-to-Image Diffusion Models for Visual Perception.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Unleashing Text-to-Image Diffusion Models for Visual Perception

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Resolution: unresolved; no resolver link, observed 2026-08-11T13:14:47.976666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc35b5e0-c6c3-46da-a0cd-2688fbc00fea · outbound

This paper cites Denoising diffusion models for plug-and-play image restoration.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Denoising diffusion models for plug-and-play image restoration

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:48.955231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 08c5afcd-5b1a-4c35-8953-6273cf95a83c · outbound

This paper cites Ogni-dc: Robust depth comple- tion with optimization-guided neural iterations.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Ogni-dc: Robust depth comple- tion with optimization-guided neural iterations

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:14:48.930601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1f155962-699b-4793-a896-76186a55a5a7 · outbound

This paper cites an unresolved cited work.

Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion Unresolved cited work

Reference 2025

Resolution: parse uncertain; raw_fallback, observed 2026-08-11T13:14:50.108121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 020419fa-292b-4da5-98c4-93458aa2b94b · inbound

Radar-Guided Polynomial Fitting for Metric Depth Estimation cites this paper.

Radar-Guided Polynomial Fitting for Metric Depth Estimation Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

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Resolution: verified exact; arxiv_id, observed 2026-05-22T22:37:12.789690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c5b005f1-ea2b-460f-b4d1-19f3160441c3 · inbound

Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues cites this paper.

Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:16.745457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02f26914-6df3-4aa0-bf21-0463f68afdd5 · inbound

PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistency cites this paper.

PacGDC: Label-Efficient Generalizable Depth Completion with Projection Ambiguity and Consistency Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a1c81ea-f850-47e3-b05f-83ad8081f418 · inbound

SpatialTrackerV2: 3D Point Tracking Made Easy cites this paper.

SpatialTrackerV2: 3D Point Tracking Made Easy Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 910aa963-1688-48aa-b1ec-bc776f479534 · inbound

Simulation-based inference using splitting schemes for partially observed diffusions in chemical reaction networks cites this paper.

Simulation-based inference using splitting schemes for partially observed diffusions in chemical reaction networks Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T19:57:32.135619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b79f7af3-e2b4-4f20-ae87-a14f9058442d · inbound

Non-invasive Assessment of Pancreatic Duct Hypertension Using Computational Flow Modeling cites this paper.

Non-invasive Assessment of Pancreatic Duct Hypertension Using Computational Flow Modeling Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

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Resolution: unresolved; no resolver link, observed 2026-08-05T18:05:48.292352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42b9a58b-ef47-446c-a377-61e4a46840e0 · inbound

A Data Efficiency Study of Synthetic Fog for Object Detection Using the Clear2Fog Pipeline cites this paper.

A Data Efficiency Study of Synthetic Fog for Object Detection Using the Clear2Fog Pipeline Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:28:00.117263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2387807f-342b-4538-b3b0-1be7114c8d58 · inbound

A Data Efficiency Study of Synthetic Fog for Object Detection Using the Clear2Fog Pipeline cites this paper.

A Data Efficiency Study of Synthetic Fog for Object Detection Using the Clear2Fog Pipeline Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:07:27.553655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 970b5a0c-7de1-4a58-8cf6-81d65d9a1cbd · inbound

Large Depth Completion Model from Sparse Observations cites this paper.

Large Depth Completion Model from Sparse Observations Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:23:15.298977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3b53d66d-f7f6-4982-9bdf-328a9f97ff2c · inbound

MM-TRELLIS: Point-Cloud Guided Multi-Modal 3D Vehicle Generation in Autonomous Driving cites this paper.

MM-TRELLIS: Point-Cloud Guided Multi-Modal 3D Vehicle Generation in Autonomous Driving Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:09:56.658662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.