Paper Citation Record · LEDGER

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration

As of 20 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 3 inbound Pith citation observations for arXiv:2411.19278.

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

pith.paper-citation-record.v1
2411.19278 v2

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:26:32.567224Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:16:50.271015Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:23:15.265829Z

Reference resolution

75 of 75 outbound references displayed

verified exact0
verified fuzzy59
unresolved14
parse uncertain0
malformed identifier2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cd6f48f-18cb-4e86-9c6a-a05f15c5ed05 · outbound

This paper cites Infrared system for 3d scanning of metallic surfaces.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Infrared system for 3d scanning of metallic surfaces

Reference 1

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Observation c1081f0e-4aee-453c-8bc0-649a4530846d · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Revisiting depth completion from a stereo matching perspective for cross-domain generaliza- tion

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.341121Z

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Observation 5cd3630b-f897-4c40-aa78-7c2ed00c0cd1 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Arkitscenes: A diverse real-world dataset for 3d indoor scene understanding using mobile rgb-d data

Reference 3

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Observation 33e787f8-2a8a-4a68-97b0-0deff04e3d80 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 4

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Observation 0414ff5a-0723-482f-9dda-bf94434b763e · outbound

This paper cites Weight uncertainty in neural network.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Weight uncertainty in neural network

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.320932Z

Source-reported events for the cited work

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Observation 0769cc2c-fe51-41f4-886d-c805a5c192d5 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T10:26:32.326578Z

Source-reported events for the cited work

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Observation bc4f2d66-8132-47c6-a11d-2852ec1e2027 · outbound

This paper cites MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T10:26:32.330723Z

Source-reported events for the cited work

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Observation bff50399-6e3f-4711-b837-ea895523d594 · outbound

This paper cites Object detection using depth completion and camera-lidar fusion for autonomous driving.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Object detection using depth completion and camera-lidar fusion for autonomous driving

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.311104Z

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Observation 99f9d69a-d4e1-45b9-84c4-8c16aaf3142d · outbound

This paper cites Learning depth with convolutional spatial propagation network.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Learning depth with convolutional spatial propagation network

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.300284Z

Source-reported events for the cited work

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Observation 4fa83897-8479-4055-a925-1a4782277262 · outbound

This paper cites Cspn++: Learning context and resource aware convo- lutional spatial propagation networks for depth completion.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Cspn++: Learning context and resource aware convo- lutional spatial propagation networks for depth completion

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.289626Z

Source-reported events for the cited work

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Observation 085bcd56-3642-4b30-aca7-7fa90808c113 · outbound

This paper cites Depth-regularized optimization for 3d gaussian splatting in few-shot images.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Depth-regularized optimization for 3d gaussian splatting in few-shot images

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.279515Z

Source-reported events for the cited work

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Observation 4471f10a-7240-457c-aac1-9c05f0f59d6c · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Unsupervised confidence for lidar depth maps and applications

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.269119Z

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Observation 88626974-b844-4a04-9730-3198603b1b74 · outbound

This paper cites Spar- sity agnostic depth completion.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Spar- sity agnostic depth completion

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.258133Z

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Observation 3fe682a1-ccae-4da8-9450-54a65b9a9706 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Depth-supervised nerf: Fewer views and faster train- ing for free

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.247989Z

Source-reported events for the cited work

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Observation f68a8090-6177-4125-96c6-4f9995de4a5f · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Geowiz- ard: Unleashing the diffusion priors for 3d geometry estima- tion from a single image

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.237247Z

Source-reported events for the cited work

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Observation c0d1d1ac-6cd3-4077-93c4-2e136a477706 · outbound

This paper cites Virtual worlds as proxy for multi-object tracking anal- ysis.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Virtual worlds as proxy for multi-object tracking anal- ysis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.225434Z

Source-reported events for the cited work

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Observation aea7d0ab-98cd-4407-a8f5-2429deb78d11 · outbound

This paper cites 3d visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle de- tection.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration 3d visual perception for self-driving cars using a multi-camera system: Calibration, mapping, localization, and obstacle de- tection

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.214381Z

Source-reported events for the cited work

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Observation 5d046a1d-d629-4b39-918c-a5871dc93b02 · outbound

This paper cites Deep Residual Learning for Image Recognition.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Deep Residual Learning for Image Recognition

Reference 18

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Source-reported events for the cited work

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Observation 1d0b4686-1106-44ba-946c-bcbcbf88b8aa · outbound

This paper cites Depth com- pletion with twin surface extrapolation at occlusion bound- aries.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Depth com- pletion with twin surface extrapolation at occlusion bound- aries

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.203510Z

Source-reported events for the cited work

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Observation 65387524-fd62-4307-bab0-affcb3d2fcee · outbound

This paper cites On the importance of accurate geometry data for dense 3d vision tasks.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration On the importance of accurate geometry data for dense 3d vision tasks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.192947Z

Source-reported events for the cited work

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Observation 911fd80b-429e-4926-8610-ed22f47c02df · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.182122Z

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Observation 7d0a7d89-00a0-404c-96d3-a2948e08b655 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration 3d gaussian splatting for real-time radiance field rendering

Reference 22

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Observation 23fdee37-1955-4570-9955-3328087e9add · outbound

This paper cites Adam: A Method for Stochastic Optimization.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Adam: A Method for Stochastic Optimization

Reference 23

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Source-reported events for the cited work

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Observation 27cf458a-4ba1-468e-8ba0-fb7569015d50 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Evaluation of cnn-based single-image depth estimation methods

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.163486Z

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Observation eebf8735-efc2-4a39-b281-f483fa8fe445 · outbound

This paper cites Radarcam-depth: Radar-camera fusion for depth estimation with learned metric scale.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Radarcam-depth: Radar-camera fusion for depth estimation with learned metric scale

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.152377Z

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Observation d8fb82fa-4d84-44db-ad10-01846c5a12b8 · outbound

This paper cites Human pose regression with 9 residual log-likelihood estimation.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Human pose regression with 9 residual log-likelihood estimation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.140471Z

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Observation fa371879-6111-4652-a9bd-7d667efce0e8 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Megadepth: Learning single- view depth prediction from internet photos

Reference 27

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Source-reported events for the cited work

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Observation ab4ba992-396a-4bdd-ab4b-ae62991b7d49 · outbound

This paper cites Dynamic spatial propagation network for depth com- pletion.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Dynamic spatial propagation network for depth com- pletion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.121952Z

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Observation 5de5d57d-db40-4d9c-ad30-4cd4d6b98c5c · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Learning affinity via spa- tial propagation networks

Reference 29

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Source-reported events for the cited work

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Observation ef809e4c-a3fb-4c7d-b02a-c1a96968d3f3 · outbound

This paper cites Graphcspn: Geometry-aware depth completion via dynamic gcns.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Graphcspn: Geometry-aware depth completion via dynamic gcns

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.104562Z

Source-reported events for the cited work

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Observation f2380e06-2d2b-4f4a-8982-e9fc914ec672 · outbound

This paper cites Depth estimation from monocular images and sparse radar using deep ordinal regression network.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Depth estimation from monocular images and sparse radar using deep ordinal regression network

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.094507Z

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Observation 977d34a6-2ff1-4a58-8a7d-652df97d9c6b · outbound

This paper cites Distinctive image features from scale- invariant keypoints.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Distinctive image features from scale- invariant keypoints

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.084462Z

Source-reported events for the cited work

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Observation 6236ff50-ba7e-4f9e-ae9b-cd87a22dad53 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 33

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Source-reported events for the cited work

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Observation 989a8022-7be6-4540-86ba-f13c639942bb · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Indoor segmentation and support inference from rgbd images

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.064095Z

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Observation 72d45815-1f4b-4a30-bc1a-e1aa712ba57f · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration DINOv2: Learning Robust Visual Features without Supervision

Reference 35

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Observation bbbe7d4f-cef9-4325-837a-7206b9b1898b · outbound

This paper cites Test-time adaptation for depth completion.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Test-time adaptation for depth completion

Reference 36

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Observation 3abcb626-9f11-42ad-a86b-50388bfa5c07 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Non-local spatial propagation network for depth completion

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.043650Z

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Observation 21cc68da-bb24-4185-8d44-e1d9a59ca7d3 · outbound

This paper cites A simple yet universal framework for depth completion.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration A simple yet universal framework for depth completion

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.033841Z

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Observation 91c8aa11-556d-49f3-9cf7-6b5283144705 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Depth prompting for sensor-agnostic depth estimation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.023575Z

Source-reported events for the cited work

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Observation 9b1f4f6d-f1b3-4888-902b-6efc34635e0e · outbound

This paper cites Deepli- dar: Deep surface normal guided depth prediction for out- door scene from sparse lidar data and single color image.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Deepli- dar: Deep surface normal guided depth prediction for out- door scene from sparse lidar data and single color image

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.012932Z

Source-reported events for the cited work

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Observation 17d34e43-4c8d-42dd-9418-4d0f5999615d · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:33.002567Z

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Observation 21384c53-44ad-4281-a9c6-2f9e963165d8 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Hypersim: A photorealistic syn- thetic dataset for holistic indoor scene understanding

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.991586Z

Source-reported events for the cited work

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Observation f6eb85e0-6416-4977-a54d-1804efc46100 · outbound

This paper cites Dense depth pri- ors for neural radiance fields from sparse input views.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Dense depth pri- ors for neural radiance fields from sparse input views

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.981153Z

Source-reported events for the cited work

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Observation 1123dee0-79b4-401c-a71b-c75384d42af9 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration U-net: Convolutional networks for biomedical image segmentation

Reference 44

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Observation 6e733930-3797-4223-b17b-909668c1e622 · outbound

This paper cites Orb: An efficient alternative to sift or surf.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Orb: An efficient alternative to sift or surf

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.958420Z

Source-reported events for the cited work

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Observation 1d0dc623-0eb7-4f8e-8ea3-237f986571ce · outbound

This paper cites Structure-from-motion revisited.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Structure-from-motion revisited

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.948152Z

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Observation b15f966b-d669-4909-8b50-4f173ea7862a · outbound

This paper cites Sch¨onberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, and An- dreas Geiger.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Sch¨onberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, and An- dreas Geiger

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.938206Z

Source-reported events for the cited work

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Observation 88120e36-bc27-462b-b03a-b023e4519000 · outbound

This paper cites Depth estimation from camera image and mmwave radar point cloud.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Depth estimation from camera image and mmwave radar point cloud

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.927310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e39b4c22-961c-4dc9-8926-d43d62bc5e81 · outbound

This paper cites Loftr: Detector-free local feature matching with transformers.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Loftr: Detector-free local feature matching with transformers

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T10:26:32.473777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1b4bac6-424b-417c-9ca9-dcdf1cc9a2b5 · outbound

This paper cites Bi- lateral propagation network for depth completion.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Bi- lateral propagation network for depth completion

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.911308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6303fc01-ad05-4959-83bb-0827033e4bf0 · outbound

This paper cites 3d lidar re- construction with probabilistic depth completion for robotic navigation.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration 3d lidar re- construction with probabilistic depth completion for robotic navigation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.901225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 28f070f0-2983-4cb8-95ce-89a4c8187e74 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Raft: Recurrent all-pairs field transforms for optical flow

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.890081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 11fa5e4f-94e4-4ab3-a807-dde30e03dbf1 · outbound

This paper cites Pdc-net+: Enhanced probabilistic dense cor- respondence network.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Pdc-net+: Enhanced probabilistic dense cor- respondence network

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.877882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 559b5c0c-f58c-426d-a481-ce2ad8ebd33f · outbound

This paper cites Dn-splatter: Depth and normal priors for gaussian splatting and meshing.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Dn-splatter: Depth and normal priors for gaussian splatting and meshing

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.865811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ea3c16ba-9d38-4083-bc82-93c9b356ea4c · outbound

This paper cites Sparsity invariant cnns.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Sparsity invariant cnns

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.855610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 192cbeb7-3c55-47af-9f2f-dfb098632c2b · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration DIODE: A Dense Indoor and Outdoor DEpth Dataset

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T10:26:32.497926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 684e9762-8b2f-417d-9a0c-e85b8beff1d0 · outbound

This paper cites G2- monodepth: A general framework of generalized depth in- ference from monocular rgb+ x data.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration G2- monodepth: A general framework of generalized depth in- ference from monocular rgb+ x data

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.844799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cfe62729-bbab-4d15-9d6e-8fd04937bff8 · outbound

This paper cites Irs: A large naturalis- tic indoor robotics stereo dataset to train deep models for disparity and surface normal estimation.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Irs: A large naturalis- tic indoor robotics stereo dataset to train deep models for disparity and surface normal estimation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.832607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3eac0ea2-69e2-4653-8009-b38442fccee7 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Tartanair: A dataset to push the limits of visual slam

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.821318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a1fadaee-f891-4b60-a0b9-0b9e512c2a35 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Lrru: Long-short range recurrent updating networks for depth completion

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.811483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 56612c58-3f0a-47db-87b9-dcee3758b14a · outbound

This paper cites Sea-raft: Simple, efficient, accurate raft for optical flow.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Sea-raft: Simple, efficient, accurate raft for optical flow

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.801682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d8766b8-a4c3-41c3-9b2d-6ea260a7b84b · outbound

This paper cites Improving depth completion via depth feature upsampling.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Improving depth completion via depth feature upsampling

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.791735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8985ca44-fd51-4ae7-9d96-d34f8429f03b · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Image quality assessment: from error visibility to structural similarity

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T10:26:32.522996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d5b94d8-4baa-4147-bcbb-fa9c7333694f · outbound

This paper cites Unsupervised depth completion from visual iner- tial odometry.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Unsupervised depth completion from visual iner- tial odometry

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.774498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 533ada6e-a41b-4cb8-88b0-480fa3581e37 · outbound

This paper cites Towards domain-agnostic depth completion.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Towards domain-agnostic depth completion

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.764102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 980a3ff5-205f-46db-ad3e-d062024b636c · outbound

This paper cites Deformable spatial propagation networks for depth completion.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Deformable spatial propagation networks for depth completion

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.753710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8d427334-29a1-4cf2-b86e-73a6f5e3cc70 · outbound

This paper cites Learnable differencing center for night- time depth perception.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Learnable differencing center for night- time depth perception

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.743526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91a4a064-f3da-4e34-a810-086ea5e52c76 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Drivingstereo: A large-scale dataset for stereo matching in autonomous driving scenarios

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.733232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dbbb7180-fb38-4546-94f5-cbd60bb0ad55 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Depth anything: Unleashing the power of large-scale unlabeled data

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T10:26:32.544123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2672b68a-285f-4bd3-930a-d0bc4bbe80e1 · outbound

This paper cites Depth any- thing v2.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Depth any- thing v2

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.716665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d46d5e6a-6c34-488e-8984-b0783b237f81 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Blendedmvs: A large-scale dataset for generalized multi-view stereo net- works

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.706820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22666470-c8d8-46ed-af0c-65b7e86572bb · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration The unreasonable effectiveness of deep features as a perceptual metric

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T10:26:32.554551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59c3a742-4586-4d16-81fe-784c73f7b5c6 · outbound

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

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration Completionformer: Depth completion with convolutions and vision transform- ers

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:26:32.690435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 392d0c44-4fba-4ffc-b7d7-97aa3adb5885 · outbound

This paper cites generalizable.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration generalizable

Reference 74

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T10:26:32.678003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7612d625-7e49-4ae5-8f97-643a751066e6 · outbound

This paper cites office” and the “courtyard.

OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration office” and the “courtyard

Reference 75

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T10:26:32.666349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation a0364dae-3c22-409c-86ea-ec09ad83c0af · inbound

Depth Anything with Any Prior cites this paper.

Depth Anything with Any Prior OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T21:16:50.271015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d67e4cb-e018-4794-997d-7a293415c63d · 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 OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T18:49:35.231794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5abebaf5-49db-41bc-9a5c-f5b42899789d · inbound

Large Depth Completion Model from Sparse Observations cites this paper.

Large Depth Completion Model from Sparse Observations OMNI-DC: Highly Robust Depth Completion with Multiresolution Depth Integration

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:23:15.268201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.