Paper Citation Record · LEDGER

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion

As of 19 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 2 inbound Pith citation observations for arXiv:2412.19225.

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

pith.paper-citation-record.v1
2412.19225 v2

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:52:48.629238Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:19:13.700651Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:56:42.264352Z

Reference resolution

70 of 70 outbound references displayed

verified exact2
verified fuzzy65
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c6c5ef7-e5a9-4650-8645-6ff85880892b · outbound

This paper cites A non-local algorithm for image denoising.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion A non-local algorithm for image denoising

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.412482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 442ce819-23cf-470a-b7ac-161f11aeab86 · outbound

This paper cites Agg-net: Attention guided gated- convolutional network for depth image completion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Agg-net: Attention guided gated- convolutional network for depth image completion

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.402019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f6b3b495-d56b-45c1-89bf-42ec362f072a · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Learning joint 2d-3d representations for depth completion

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.390861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c09d16a-d2b7-4cfd-b488-8a8ca5deb210 · outbound

This paper cites Learning depth with convolutional spatial propagation network.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Learning depth with convolutional spatial propagation network

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.380549Z

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Observation ad5825f0-b206-4753-97b0-5ec7c9a21be1 · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Depth esti- mation via affinity learned with convolutional spatial propa- gation network

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.370175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3360cbe4-cc2b-4cb8-832e-b3d27f6e8657 · outbound

This paper cites Learning depth with convolutional spatial propagation network.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Learning depth with convolutional spatial propagation network

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.359530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7de4a0ea-703f-4603-bdde-78c0057802ab · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Cspn++: Learning context and resource aware convo- lutional spatial propagation networks for depth completion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.348585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c99e6323-4908-4099-a56b-046ab6e5e066 · outbound

This paper cites A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:52:48.718648Z

Source-reported events for the cited work

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Observation 3fae9110-74ca-4bcd-8bbe-3055e3d7e6f7 · outbound

This paper cites Confidence propagation through cnns for guided sparse depth regression.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Confidence propagation through cnns for guided sparse depth regression

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.337346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b258bdc8-2726-4c0b-a20f-364cbafe4deb · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:48.407288Z

Source-reported events for the cited work

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Observation ff4f8061-a503-4ac4-acd5-d39a77b1468d · outbound

This paper cites Penet: Towards precise and efficient image guided depth completion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Penet: Towards precise and efficient image guided depth completion

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.327060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea4d1d01-e298-4fc0-af4d-ef3d93ee73cf · outbound

This paper cites Sparse and dense data with cnns: Depth completion and semantic segmentation.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Sparse and dense data with cnns: Depth completion and semantic segmentation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.315932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0fa090c-bbb1-4fc1-9cec-4662779671dd · outbound

This paper cites Adam: A method for stochastic optimization.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Adam: A method for stochastic optimization

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.304808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ad78756-278c-48a1-af4a-fa26f55e778b · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion In defense of classical image processing: Fast depth completion on the cpu

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.294211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aa2b94a4-7c1c-4523-b35c-ea55b890e88c · outbound

This paper cites Colorization using optimization.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Colorization using optimization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.284630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f69a4420-bb88-4228-ba0f-da9c8f486269 · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion A multi-scale guided cascade hourglass net- work for depth completion

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.274778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90878acc-4d02-4cb6-a560-b46b1990d2ec · outbound

This paper cites All-in-one image restoration for unknown cor- ruption.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion All-in-one image restoration for unknown cor- ruption

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.265371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03e43fdf-b013-4bd0-95ee-5bd8cf878ff6 · outbound

This paper cites Efficient and degradation-adaptive network for real-world image super- resolution.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Efficient and degradation-adaptive network for real-world image super- resolution

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.254453Z

Source-reported events for the cited work

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Observation 4aa7b30a-eb9e-46d5-91de-f7ad8e8c03c5 · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Dynamic spatial propagation network for depth com- pletion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.243750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a84b148-8e9d-44cb-a776-62d5115f7d1b · outbound

This paper cites Dyspn: Learning dynamic affinity for image- guided depth completion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Dyspn: Learning dynamic affinity for image- guided depth completion

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.233002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2f9c6aa-2b1f-4202-b23d-39688a076352 · outbound

This paper cites Learning steering kernels for guided depth comple- tion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Learning steering kernels for guided depth comple- tion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.221496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55c625ac-75cc-403f-823d-231a9129f9a8 · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Fcfr-net: Fea- ture fusion based coarse-to-fine residual learning for depth completion

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.210635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06c53480-feac-4f59-88ee-94e9f00e2e9a · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Learning affinity via spa- tial propagation networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.200231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71cee2f3-b3c7-430f-85f4-c4dd7ff3de87 · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Graphcspn: Geometry-aware depth completion via dynamic gcns

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.189222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3a6d213d-5883-4e4a-b11d-01cc117802bb · outbound

This paper cites VMamba: Visual State Space Model.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion VMamba: Visual State Space Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:48.463738Z

Source-reported events for the cited work

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Observation 1b1bf940-b25a-4c76-a216-ed7fd0ae3579 · outbound

This paper cites From depth what can you see? depth completion via aux- iliary image reconstruction.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion From depth what can you see? depth completion via aux- iliary image reconstruction

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.179332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b213c150-3160-4844-ab48-539bcc0f42bc · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Sparse-to-dense: Depth prediction from sparse depth samples and a single image

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.168486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45b6cf1e-3a2f-4159-b66e-314cfef922bb · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Self-supervised sparse-to-dense: Self-supervised depth completion from lidar and monocular camera

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.157604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10dfad53-5296-44d0-be22-2f46a17a88b3 · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Non-local spatial propagation network for depth completion

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.147587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 35339026-525c-4293-b051-cf352f66ed96 · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Depth prompting for sensor-agnostic depth estimation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.138488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7875b5f5-36ed-4c63-b8f1-f51c0737b578 · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Deepli- dar: Deep surface normal guided depth prediction for out- door scene from sparse lidar data and single color image

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.129395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 73d9823c-c1cc-4302-a9a4-865b25f7dbae · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Guide- former: Transformers for image guided depth completion

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.120173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 30fa8824-a779-4ec9-957a-2d1a5b2e1f8e · outbound

This paper cites Decoder modulation for in- door depth completion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Decoder modulation for in- door depth completion

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.109580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2baacff6-e7e3-48a0-b042-ee9daabf5603 · outbound

This paper cites Dfusenet: Deep fusion of rgb and sparse depth information for image guided dense depth completion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Dfusenet: Deep fusion of rgb and sparse depth information for image guided dense depth completion

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.099324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a7cfbea-9671-41a8-bdf5-90b9485102f7 · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Indoor segmentation and support inference from rgbd images

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.088819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 64121c41-4914-4add-b038-11ae19e4e8c9 · outbound

This paper cites Sun rgb-d: A rgb-d scene understanding benchmark suite.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Sun rgb-d: A rgb-d scene understanding benchmark suite

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.079059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e862d99f-5b7f-4c43-b0ef-7cdd18053df7 · outbound

This paper cites Learning guided convolutional network for depth comple- tion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Learning guided convolutional network for depth comple- tion

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.068353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 02664e28-7b05-42a5-99b6-fe01aac15dd6 · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Bi- lateral propagation network for depth completion

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.058199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2dace052-eb0a-411a-bc01-1e05d8d521fe · outbound

This paper cites A flexible scene rep- resentation for 3d reconstruction using an rgb-d camera.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion A flexible scene rep- resentation for 3d reconstruction using an rgb-d camera

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.048238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18bf271b-7430-472e-8bf5-a3d3eb632282 · outbound

This paper cites Sparsity invariant cnns.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Sparsity invariant cnns

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.038366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a23c5231-8b7b-4985-821d-92f8e6bfcdd4 · outbound

This paper cites Sparse and noisy lidar completion with rgb guidance and uncertainty.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Sparse and noisy lidar completion with rgb guidance and uncertainty

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.028171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation acf1c856-61ce-4852-979b-3778c9a47e31 · outbound

This paper cites Rgb-depth fusion gan for indoor depth completion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Rgb-depth fusion gan for indoor depth completion

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.018199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a740ef2-858c-45bc-be5e-09f8f68449ee · outbound

This paper cites Unsuper- vised degradation representation learning for blind super- resolution.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Unsuper- vised degradation representation learning for blind super- resolution

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:49.007267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1191bb9-beac-43be-b597-86576cf891b3 · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Lrru: Long-short range recurrent updating networks for depth completion

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.997641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b49b3efb-b548-4085-a4ec-f54958d348e5 · outbound

This paper cites Improving depth completion via depth feature upsampling.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Improving depth completion via depth feature upsampling

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.987912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4fd68797-4b04-4616-a9a6-6ee3b107d68a · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Sgnet: Struc- ture guided network via gradient-frequency awareness for depth map super-resolution

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.976961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0e2202c5-4ded-4eac-8207-0b3bb0836b86 · outbound

This paper cites Multi-modal masked pre-training for monoc- ular panoramic depth completion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Multi-modal masked pre-training for monoc- ular panoramic depth completion

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.966070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b53a0372-bb05-401f-866c-0d4ed1660d35 · outbound

This paper cites Rignet: Repetitive image guided network for depth completion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Rignet: Repetitive image guided network for depth completion

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.954218Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3a50d039-60b7-46e5-828e-f9b71ab77221 · outbound

This paper cites Desnet: Decomposed scale-consistent net- work for unsupervised depth completion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Desnet: Decomposed scale-consistent net- work for unsupervised depth completion

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.943738Z

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Observation eeaad1c6-743d-4387-b227-35f010a219c9 · outbound

This paper cites Learnable Differencing Center for Nighttime Depth Perception.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Learnable Differencing Center for Nighttime Depth Perception

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:52:48.677833Z

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Observation 13407418-4965-4511-a5ec-f6dff1c4b0e0 · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Tri- perspective view decomposition for geometry-aware depth completion

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.932698Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef869734-f956-4756-88e5-395717598ff9 · outbound

This paper cites Depth Anything V2.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Depth Anything V2

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T00:52:48.562340Z

Source-reported events for the cited work

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Observation 9f86190b-0664-429e-9870-f841f4f30ace · outbound

This paper cites Dense depth posterior (ddp) from single image and sparse range.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Dense depth posterior (ddp) from single image and sparse range

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.921852Z

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Observation 5eb5fdfe-853a-4310-8a8d-ea4ad785bdc7 · outbound

This paper cites Neural degradation representation learning for all-in-one image restoration.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Neural degradation representation learning for all-in-one image restoration

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.910809Z

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Observation 04d54a9c-09fd-4027-990e-6209568689ac · outbound

This paper cites Con- ditional hyper-network for blind super-resolution with mul- tiple degradations.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Con- ditional hyper-network for blind super-resolution with mul- tiple degradations

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.899866Z

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Observation 60bc22cf-4d43-4b1d-8d9a-4ad12679691a · outbound

This paper cites Aggregating feature point cloud for depth completion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Aggregating feature point cloud for depth completion

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.888540Z

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Observation 34a04dfd-84c9-47e4-997e-026957f12e4f · outbound

This paper cites All-in-one multi-degradation image restoration network via hierarchical degradation representation.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion All-in-one multi-degradation image restoration network via hierarchical degradation representation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.877162Z

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Observation f9d2e784-0286-48d2-8bec-b23aa25a7ab7 · outbound

This paper cites Ingredient-oriented multi- degradation learning for image restoration.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Ingredient-oriented multi- degradation learning for image restoration

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.864997Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3b4eb8a4-1612-4f86-9ea2-dcd1a304a480 · outbound

This paper cites Designing a practical degradation model for deep blind image super-resolution.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Designing a practical degradation model for deep blind image super-resolution

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.854341Z

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Observation 5320431a-4cf1-45b0-aa06-3151b7123818 · outbound

This paper cites Image super-resolution using very deep residual channel attention networks.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Image super-resolution using very deep residual channel attention networks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.844611Z

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Observation a72f815b-c207-4b5b-ab12-565cb70d0189 · outbound

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

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Completionformer: Depth completion with convolutions and vision transform- ers

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.834684Z

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Observation 8c754b7f-d98c-4fe0-9005-459207b1087e · outbound

This paper cites Guided depth map super-resolution: A survey.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Guided depth map super-resolution: A survey

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.824092Z

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Observation 49ec2cdf-95f8-48c9-bde7-c7a8bb4c1578 · outbound

This paper cites Unsu- pervised cumulative domain adaptation for foggy scene op- tical flow.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Unsu- pervised cumulative domain adaptation for foggy scene op- tical flow

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.812717Z

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Observation f690e407-ee0d-4414-88e7-d021e7a65423 · outbound

This paper cites Learn- ing correction filter via degradation-adaptive regression for blind single image super-resolution.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Learn- ing correction filter via degradation-adaptive regression for blind single image super-resolution

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.800661Z

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Observation 1f46f9d4-8134-4b95-99ed-12de89a53a44 · outbound

This paper cites Adverse weather op- tical flow: Cumulative homogeneous-heterogeneous adapta- tion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Adverse weather op- tical flow: Cumulative homogeneous-heterogeneous adapta- tion

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.789336Z

Source-reported events for the cited work

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Observation 4e7e6ced-f9bf-4835-96da-255fb0c2091f · outbound

This paper cites Bev@ dc: Bird’s-eye view assisted training for depth completion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Bev@ dc: Bird’s-eye view assisted training for depth completion

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.777173Z

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Observation 84f98541-0b79-4317-af63-d2ae95f0c933 · outbound

This paper cites Curricular object manipulation in lidar- based object detection.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Curricular object manipulation in lidar- based object detection

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.765802Z

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Observation 49aff5d9-967b-4c41-bf8e-77a11f38d4ea · outbound

This paper cites V oxelsplat: Dynamic gaussian splatting as an effective loss for occupancy and flow predic- tion.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion V oxelsplat: Dynamic gaussian splatting as an effective loss for occupancy and flow predic- tion

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.754675Z

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Observation 2653f7c2-3d1b-42d3-8ce1-55d8331bbd73 · outbound

This paper cites Dataset NYUv2 [35] is the most commonly used dataset for depth completion, consisting of 1,449 sets from 464 different in- door scenes using Microsoft Kinect.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion Dataset NYUv2 [35] is the most commonly used dataset for depth completion, consisting of 1,449 sets from 464 different in- door scenes using Microsoft Kinect

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.742482Z

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Observation ae5107cc-379d-416c-b175-6c5bea9f7842 · outbound

This paper cites 10 shows additional visual results on the DIML dataset.

Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion 10 shows additional visual results on the DIML dataset

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:52:48.730515Z

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Pith citing papers

Observation 81201f55-e14e-4d88-a57a-00fffa39958f · inbound

Event-Driven Dynamic Scene Depth Completion cites this paper.

Event-Driven Dynamic Scene Depth Completion Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T20:19:13.700651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbfdf7cc-940c-456b-98a8-cd8e03e5fd25 · inbound

DegBins: Degradation-Driven Binning for Depth Super-Resolution cites this paper.

DegBins: Degradation-Driven Binning for Depth Super-Resolution Completion as Enhancement: A Degradation-Aware Selective Image Guided Network for Depth Completion

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:56:42.286207Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.