Paper Citation Record · LEDGER

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution

As of 13 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2511.16361.

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

pith.paper-citation-record.v1
2511.16361 v3

Coverage vector

measured 58 of 58 reference resolution

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measured 59 of 59 standing notices

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:56:04.057064Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

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External citation measurements

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Outbound references

Observation f3709d32-7f91-471d-95f9-074bd4aea76c · outbound

This paper cites Intrinsic phase-preserving networks for depth super res- olution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Intrinsic phase-preserving networks for depth super res- olution

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.965833Z

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Observation 9eb62a29-d341-4fa7-a1cd-ba653e0eeb15 · outbound

This paper cites Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset.Expert Systems with Applications, 178:114877.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset.Expert Systems with Applications, 178:114877

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.962745Z

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Observation 7b5996b3-c44e-405e-b8cb-9fa7f3edcd84 · outbound

This paper cites DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-21T19:30:31.442361Z

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Observation d20c4947-a304-4601-8545-fbc88c7a6b7a · outbound

This paper cites V olumefusion: Deep depth fusion for 3d scene reconstruction.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution V olumefusion: Deep depth fusion for 3d scene reconstruction

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.959784Z

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Observation 8eda48f3-3790-4444-9841-a0fc80859f48 · outbound

This paper cites Learn- ing graph regularisation for guided super-resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Learn- ing graph regularisation for guided super-resolution

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.956893Z

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Observation 7ac93f55-ee36-42ba-b8a0-b4827fe9ddfd · outbound

This paper cites Deep convolutional neural network for multi-modal image restoration and fusion.IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(10):3333–3348.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Deep convolutional neural network for multi-modal image restoration and fusion.IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(10):3333–3348

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.954061Z

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Observation cc751e68-2e46-4753-b034-e9c9335295a5 · outbound

This paper cites Roma: Robust dense feature matching.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Roma: Robust dense feature matching

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.950508Z

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Observation 64b77cd3-1fd3-4e37-a3b9-a1a581708d86 · outbound

This paper cites Multiscale vessel enhancement filtering.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Multiscale vessel enhancement filtering

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.947677Z

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Observation ec1f1487-6ab0-4acc-b2ac-4907313bf6a8 · outbound

This paper cites Coupled real-synthetic domain adaptation for real- world deep depth enhancement.IEEE Transactions on Im- age Processing, 29:6343–6356.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Coupled real-synthetic domain adaptation for real- world deep depth enhancement.IEEE Transactions on Im- age Processing, 29:6343–6356

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.944716Z

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Observation 2deb9864-5344-4071-a975-c9615db37fa3 · outbound

This paper cites Hierarchical features driven resid- ual learning for depth map super-resolution.IEEE Transac- tions on Image Processing, 28(5):2545–2557.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Hierarchical features driven resid- ual learning for depth map super-resolution.IEEE Transac- tions on Image Processing, 28(5):2545–2557

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.802447Z

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Observation 1abdb772-ba45-43b6-b14c-0349672ef8ca · outbound

This paper cites an unresolved cited work.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Unresolved cited work

Reference 11

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Observation ef060ba2-fd44-4582-a44d-1f9dd742afff · outbound

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

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Towards fast and accurate real-world depth super- resolution: Benchmark dataset and baseline

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.938779Z

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Observation 1a9fcab0-59ce-44ec-a787-3d6dbc1be687 · outbound

This paper cites Depth map super-resolution by deep multi-scale guidance.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Depth map super-resolution by deep multi-scale guidance

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.935537Z

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Observation c462acfe-9ed9-4418-b9f2-d047b8653551 · outbound

This paper cites Omniglue: Generalizable feature match- ing with foundation model guidance.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Omniglue: Generalizable feature match- ing with foundation model guidance

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.932301Z

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Observation 112f0419-154f-4f9d-90ae-fcb24867efdd · outbound

This paper cites C2pd: Continuity-constrained pixelwise deformation for guided depth super-resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution C2pd: Continuity-constrained pixelwise deformation for guided depth super-resolution

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.927999Z

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Observation a3144586-8f30-44dd-b48d-ee5631456140 · outbound

This paper cites Deformable kernel networks for joint image filtering.International Jour- nal of Computer Vision, 129(2):579–600.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Deformable kernel networks for joint image filtering.International Jour- nal of Computer Vision, 129(2):579–600

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.924524Z

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Observation bec1327a-a897-4939-a444-3bb9d54e235e · outbound

This paper cites Deep stereo confidence prediction for depth estimation.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Deep stereo confidence prediction for depth estimation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.799747Z

Source-reported events for the cited work

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Observation 11318f71-e8c3-41b4-b5ab-ff521940a1e5 · outbound

This paper cites Structure selective depth superresolution for rgb-d cameras.IEEE Transactions on Image Processing, 25(11):5227–5238.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Structure selective depth superresolution for rgb-d cameras.IEEE Transactions on Image Processing, 25(11):5227–5238

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.797091Z

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Observation 55e6fc67-c5ba-4f75-8dbe-64195377d728 · outbound

This paper cites Deep monocular depth estimation via in- tegration of global and local predictions.IEEE Transactions on Image Processing, 27(8):4131–4144.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Deep monocular depth estimation via in- tegration of global and local predictions.IEEE Transactions on Image Processing, 27(8):4131–4144

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.920655Z

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Observation 4885b04d-4d0c-41b6-bc2d-b6ef5c45ee28 · outbound

This paper cites A deep learning framework for infrared and visible image fusion without strict registration.International Journal of Com- puter Vision, 132(5):1625–1644.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution A deep learning framework for infrared and visible image fusion without strict registration.International Journal of Com- puter Vision, 132(5):1625–1644

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.807887Z

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Observation 8177bdeb-40cb-479a-8609-26ecd4b84198 · outbound

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Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-05-21T19:30:31.917131Z

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Observation 76997fdc-1acb-4ca6-a2dc-ff68f59e4b64 · outbound

This paper cites Deep joint image filtering.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Deep joint image filtering

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.913126Z

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Observation da2a0807-35e0-445b-8edf-77e9f8ae5ea4 · outbound

This paper cites Joint image filtering with deep convolutional net- works.IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(8):1909–1923.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Joint image filtering with deep convolutional net- works.IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(8):1909–1923

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.910058Z

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Observation 997d52a0-fcec-4c32-83c0-5995415e9b2d · outbound

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Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-05-21T19:30:31.805009Z

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Observation 18f2a54e-8808-4575-80c6-dfedce0d1681 · outbound

This paper cites Lightglue: Local feature matching at light speed.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Lightglue: Local feature matching at light speed

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.906879Z

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Observation 28ec231d-d5e1-4690-8ad8-d34337a54d9b · outbound

This paper cites Depth restoration from rgb-d data via joint adaptive regularization and thresholding on mani- folds.IEEE Transactions on Image Processing, 28(3):1068– 1079.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Depth restoration from rgb-d data via joint adaptive regularization and thresholding on mani- folds.IEEE Transactions on Image Processing, 28(3):1068– 1079

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.902949Z

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Observation 48ff1d10-6b5b-4d02-9059-db34ddcae814 · outbound

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

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Guided depth super-resolution by deep anisotropic diffusion

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.899826Z

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Observation 5526f7ad-26c6-4b4f-8266-5c58df725f9f · outbound

This paper cites Ir&arf: Towards deep interpretable arbitrary resolution fusion of unregistered hyperspectral and multi- spectral images.IEEE Transactions on Image Processing.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Ir&arf: Towards deep interpretable arbitrary resolution fusion of unregistered hyperspectral and multi- spectral images.IEEE Transactions on Image Processing

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.896880Z

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Observation d56b14c9-d950-4595-bb40-5bd409a39057 · outbound

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

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Hypersim: A photorealistic syn- thetic dataset for holistic indoor scene understanding

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.893903Z

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Observation 23763c01-7c6f-4865-80b0-b63c00e1a32e · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Superglue: Learning feature matching with graph neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.891063Z

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Observation c68f1770-e571-4f55-b619-905a1c4cbd17 · outbound

This paper cites Symmetric uncertainty- aware feature transmission for depth super-resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Symmetric uncertainty- aware feature transmission for depth super-resolution

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.887935Z

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Observation c4b27768-d029-40f1-9712-5873a4dadec8 · outbound

This paper cites Channel attention based iterative residual learning for depth map super-resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Channel attention based iterative residual learning for depth map super-resolution

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.884627Z

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Observation eb10e8a6-91eb-4e2a-a4b7-d502b7222f8e · outbound

This paper cites Pixel-adaptive convolutional neural networks.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Pixel-adaptive convolutional neural networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.881288Z

Source-reported events for the cited work

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Observation cc45a891-d343-4212-ab1d-1626763bffd5 · outbound

This paper cites Learning scene structure guidance via cross- task knowledge transfer for single depth super-resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Learning scene structure guidance via cross- task knowledge transfer for single depth super-resolution

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.877428Z

Source-reported events for the cited work

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Observation fac58ef5-bc73-4bc9-b510-f48edda47d09 · outbound

This paper cites Consistent direct time-of-flight video depth super-resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Consistent direct time-of-flight video depth super-resolution

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.968607Z

Source-reported events for the cited work

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Observation dcec5dad-6040-4100-b18b-0522b95ebd96 · outbound

This paper cites Joint im- plicit image function for guided depth super-resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Joint im- plicit image function for guided depth super-resolution

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.874610Z

Source-reported events for the cited work

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Observation f5075d63-d708-479a-b1da-b0845d428233 · outbound

This paper cites Bridgenet: A joint learn- ing network of depth map super-resolution and monocular depth estimation.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Bridgenet: A joint learn- ing network of depth map super-resolution and monocular depth estimation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.811133Z

Source-reported events for the cited work

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Observation dce5be34-23f3-4d60-ac5b-e59a1ad4b7ab · outbound

This paper cites Weakly alignment-free rgbt salient object detection with deep correlation network.IEEE Transactions on Image Pro- cessing, 31:3752–3764.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Weakly alignment-free rgbt salient object detection with deep correlation network.IEEE Transactions on Image Pro- cessing, 31:3752–3764

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.867761Z

Source-reported events for the cited work

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Observation ec5cd679-5360-4de4-a5b2-0f913c754c22 · outbound

This paper cites Self-supervised learning for rgb-guided depth enhancement by exploiting the depen- dency between rgb and depth.IEEE Transactions on Image Processing, 32:159–174.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Self-supervised learning for rgb-guided depth enhancement by exploiting the depen- dency between rgb and depth.IEEE Transactions on Image Processing, 32:159–174

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.864831Z

Source-reported events for the cited work

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Observation a41a977c-e619-42af-b5bc-a65a7e1595f4 · outbound

This paper cites Alignment-free rgbt salient object detec- tion: Semantics-guided asymmetric correlation network and a unified benchmark.IEEE Transactions on Multimedia, 26: 10692–10707.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Alignment-free rgbt salient object detec- tion: Semantics-guided asymmetric correlation network and a unified benchmark.IEEE Transactions on Multimedia, 26: 10692–10707

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.861954Z

Source-reported events for the cited work

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Observation fc86887c-027c-4b7f-be6c-9d9c54c4eb20 · outbound

This paper cites Learning continuous depth repre- sentation via geometric spatial aggregator.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Learning continuous depth repre- sentation via geometric spatial aggregator

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.814081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 298c3b47-76e9-4d2d-baa7-e01fee5a276a · outbound

This paper cites Sgnet: Struc- ture guided network via gradient-frequency awareness for depth map super-resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Sgnet: Struc- ture guided network via gradient-frequency awareness for depth map super-resolution

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.858440Z

Source-reported events for the cited work

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Observation 3c2c1f94-77ab-4639-84b0-632990a89fcc · outbound

This paper cites Scene prior filtering for depth map super-resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Scene prior filtering for depth map super-resolution

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-21T19:30:31.436767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ccf53299-4590-462f-8a3d-45dc7b7d4110 · outbound

This paper cites Spatiotemporal difference network for video depth super-resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Spatiotemporal difference network for video depth super-resolution

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-21T19:30:31.446486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation afb69529-1495-481f-9919-895780ed7c27 · outbound

This paper cites Dornet: A degradation oriented and regularized network for blind depth super-resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Dornet: A degradation oriented and regularized network for blind depth super-resolution

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.855337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dee3c4e5-2258-4f59-810f-cdcb4a3d3f34 · outbound

This paper cites Tri-perspective view decomposition for ge- ometry aware depth completion and super-resolution.IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Tri-perspective view decomposition for ge- ometry aware depth completion and super-resolution.IEEE Transactions on Pattern Analysis and Machine Intelligence

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.849904Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9ccfa0f9-ff6e-446a-a444-360df7828ce4 · outbound

This paper cites Codon: On orchestrating cross-domain attentions for depth super-resolution.International Journal of Computer Vision, 130(2):267–284.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Codon: On orchestrating cross-domain attentions for depth super-resolution.International Journal of Computer Vision, 130(2):267–284

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.847022Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 45fc3da5-1263-44f4-80cc-9877eeeaa7af · outbound

This paper cites Depth super-resolution via deep controllable slicing network.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Depth super-resolution via deep controllable slicing network

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.844063Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f9cffd49-93ee-46fc-9689-b96b9f81c14d · outbound

This paper cites Pmbanet: Progressive multi-branch aggregation network for scene depth super-resolution.IEEE Transactions on Image Processing, 29:7427–7442.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Pmbanet: Progressive multi-branch aggregation network for scene depth super-resolution.IEEE Transactions on Image Processing, 29:7427–7442

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.852704Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 286e5ffc-bb79-4ce8-9a9b-cfa6f4b203c6 · outbound

This paper cites Semantics-driven contrastive learning for real-world depth super resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Semantics-driven contrastive learning for real-world depth super resolution

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.832627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 112777ec-bf66-4725-9a8a-1bda7e1df67d · outbound

This paper cites Structure flow-guided network for real depth super-resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Structure flow-guided network for real depth super-resolution

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.835214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 63da36f6-be14-408e-ae9d-6c44da82ad82 · outbound

This paper cites Joint deep-unfolding optimization learning for depth map arbitrary-scale super-resolution.IEEE Trans- actions on Multimedia.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Joint deep-unfolding optimization learning for depth map arbitrary-scale super-resolution.IEEE Trans- actions on Multimedia

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.829698Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8a6bcf9a-aac6-4ba3-a1dc-380896a333f7 · outbound

This paper cites Mesa: Matching everything by segmenting anything.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Mesa: Matching everything by segmenting anything

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.822829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 114f8294-7483-4e1b-820a-a43c2b9267fb · outbound

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

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Discrete cosine transform network for guided depth map super-resolution

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.841032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e4d390d7-5ae0-43eb-a9ad-dc897306a832 · outbound

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

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Spherical space feature decomposition for guided depth map super-resolution

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.820105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0f9fed31-c550-4169-8ea9-17c2e5fb5b16 · outbound

This paper cites Decou- pling fine detail and global geometry for compressed depth map super-resolution.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Decou- pling fine detail and global geometry for compressed depth map super-resolution

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.838308Z

Source-reported events for the cited work

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Observation ef06c072-8620-42d5-9e86-05a2c6cef3ed · outbound

This paper cites High-resolution depth maps imaging via attention-based hierarchical multi-modal fusion.IEEE Transactions on Image Processing, 31:648– 663.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution High-resolution depth maps imaging via attention-based hierarchical multi-modal fusion.IEEE Transactions on Image Processing, 31:648– 663

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.817335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f93ad740-7fa6-4abf-be26-abd017f84959 · outbound

This paper cites Memory-augmented deep unfolding net- work for guided image super-resolution.International Jour- nal of Computer Vision, 131(1):215–242.

Multi-Order Matching Network for Alignment-Free Depth Super-Resolution Memory-augmented deep unfolding net- work for guided image super-resolution.International Jour- nal of Computer Vision, 131(1):215–242

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T19:30:31.871251Z

Source-reported events for the cited work

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Pith citing papers

Observation acae665e-a48a-474b-b978-0876f88867f0 · inbound

Robust Self-Supervised Cross-Modal Super-Resolution against Real-World Misaligned Observations cites this paper.

Robust Self-Supervised Cross-Modal Super-Resolution against Real-World Misaligned Observations Multi-Order Matching Network for Alignment-Free Depth Super-Resolution

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T21:56:04.057064Z

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