Paper Citation Record · LEDGER

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution

As of 21 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2501.01723.

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

pith.paper-citation-record.v1
2501.01723 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:25:13.292057Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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verified fuzzy45
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External citation measurements

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Outbound references

Observation ea60d82f-cd93-4dfb-b37f-958119e291a0 · outbound

This paper cites Visual odometry and mapping for autonomous flight using an RGB-D camera.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Visual odometry and mapping for autonomous flight using an RGB-D camera

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.915153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 42f95ce1-b8cb-413e-b64a-90066702e712 · outbound

This paper cites Altitude control of a quadrotor helicopter using depth map from Microsoft Kinect sensor.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Altitude control of a quadrotor helicopter using depth map from Microsoft Kinect sensor

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.902309Z

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Observation ad0191db-3622-4aea-9f2f-a89414c9ee50 · outbound

This paper cites Collison avoidance using point cloud data fusion from multiple depth sensors: A practical approach.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Collison avoidance using point cloud data fusion from multiple depth sensors: A practical approach

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.889200Z

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Observation 1fbd7e1d-d8b8-41fc-a48c-2e5e360c5f40 · outbound

This paper cites A fast and fully automatic method for cerebrovascular segmentation on time-of-flight (TOF) MRA image.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution A fast and fully automatic method for cerebrovascular segmentation on time-of-flight (TOF) MRA image

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.874020Z

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Observation 76497de3-422a-4c95-821e-ea7292ea1fe4 · outbound

This paper cites Time-of- flight 3-D endoscopy.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Time-of- flight 3-D endoscopy

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.862119Z

Source-reported events for the cited work

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Observation 13e979d7-c84e-469f-86f5-5918d18742c3 · outbound

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

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Guided depth map super-resolution: A survey

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.850197Z

Source-reported events for the cited work

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Observation 20ce7201-b9f9-4caa-84d3-e17bf86c8b9e · outbound

This paper cites Spatial-depth super resolution for range images.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Spatial-depth super resolution for range images

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.838008Z

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Observation 66b1816b-64c6-4e32-b4cd-3c6babe9cc4b · outbound

This paper cites Multistep joint bilateral depth upsampling.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Multistep joint bilateral depth upsampling

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.824599Z

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Observation ff7230e4-6eb2-4db5-bf94-6fd1d90666f6 · outbound

This paper cites Joint geodesic upsampling of depth images.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Joint geodesic upsampling of depth images

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.812034Z

Source-reported events for the cited work

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Observation 4206e1ac-ba9b-4333-85c3-04e1cd412387 · outbound

This paper cites Edge-preserving depth map upsampling by joint trilateral filter.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Edge-preserving depth map upsampling by joint trilateral filter

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.799664Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3ca8bbb0-9246-49d8-be95-bca44914e073 · outbound

This paper cites Weighted guided image filtering with steering kernel.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Weighted guided image filtering with steering kernel

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.786594Z

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Observation 6ba99a53-f026-45ef-b8c4-c563175b2165 · outbound

This paper cites Fast, High-Quality Hierarchical Depth-Map Super-Resolution.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Fast, High-Quality Hierarchical Depth-Map Super-Resolution

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.772355Z

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Observation 9129d84b-9b09-4cb0-8228-4912ade35ec4 · outbound

This paper cites An application of markov random fields to range sensing.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution An application of markov random fields to range sensing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.758157Z

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Observation e63ba287-8572-4cae-8b18-2b6252f54340 · outbound

This paper cites Image guided depth upsampling using anisotropic total generalized variation.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Image guided depth upsampling using anisotropic total generalized variation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.745954Z

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Observation 619ac58b-41f8-4ae7-951a-6cabe81aa58c · outbound

This paper cites Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.733355Z

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Observation 084c6b98-32ea-4534-b9d1-e09e42aab0ce · outbound

This paper cites High-quality depth map upsampling and completion for RGB-D cameras.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution High-quality depth map upsampling and completion for RGB-D cameras

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.719498Z

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Observation 19cdfff8-979d-4274-8ea6-03795d9399d8 · outbound

This paper cites Atgv-net: Accurate depth super-resolution.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Atgv-net: Accurate depth super-resolution

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.706764Z

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Observation ab4b210d-e546-47ba-a19c-0e5917628599 · outbound

This paper cites Deep edge map guided depth super resolution.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Deep edge map guided depth super resolution

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.694545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 08f9a4aa-0b6f-4947-8252-d85714773495 · outbound

This paper cites Deep depth super-resolution: Learning depth super-resolution using deep convolutional neural network.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Deep depth super-resolution: Learning depth super-resolution using deep convolutional neural network

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.682353Z

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Observation e83c8450-0797-4f97-82b6-d88406a5fa85 · outbound

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

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Channel attention based iterative residual learning for depth map super-resolution

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.670578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8e82266e-62fa-4abb-a9d5-792ff7bd83ad · outbound

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

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Depth super-resolution via deep controllable slicing network

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.659426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 02aee5c6-362b-4206-b96e-107064f9277e · outbound

This paper cites Pyramid-structured depth map super-resolution based on deep dense-residual network.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Pyramid-structured depth map super-resolution based on deep dense-residual network

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.648011Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 573110bc-a6b3-4200-8b1e-efd7b07cae0f · outbound

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

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Towards fast and accurate real-world depth super-resolution: Benchmark dataset and baseline

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.635374Z

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Observation d797c1f1-196f-4071-a5cf-ca5898c9fd5d · outbound

This paper cites Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Symmetric Uncertainty-Aware Feature Transmission for Depth Super-Resolution

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.624475Z

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Observation 52994e25-9539-4742-af48-f2c87c5bd71f · outbound

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

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Joint implicit image function for guided depth super-resolution

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.612203Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c1a0eb38-f85c-4a75-be56-27d0c30157c8 · outbound

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

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Learning scene structure guidance via cross-task knowledge transfer for single depth super-resolution

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.598630Z

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Observation 2ac8971a-bd83-490d-9d98-c34ed6c9b12e · outbound

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

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Bridgenet: A joint learning network of depth map super-resolution and monocular depth estimation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.584987Z

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Observation facc1506-2664-4a48-837b-cdd03de98ae2 · outbound

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

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Discrete cosine transform network for guided depth map super-resolution

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.572255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation df6e1cbb-64c1-4ffb-b069-795f5bb6d4a8 · outbound

This paper cites Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:25:13.351452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 47f63fb0-cd08-4dcf-a3fe-2d3e468370c3 · outbound

This paper cites Multiscale Attention Fusion for Depth Map Super-Resolution Generative Adversarial Networks.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Multiscale Attention Fusion for Depth Map Super-Resolution Generative Adversarial Networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.560709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2af76e35-9b99-48c5-9ac7-8db71030246b · outbound

This paper cites Depth Map Super-Resolution Reconstruction Based on Multi-Channel Progressive Attention Fusion Network.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Depth Map Super-Resolution Reconstruction Based on Multi-Channel Progressive Attention Fusion Network

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.549611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bbe7a2e4-74ae-412e-b88a-a75c289c7ab6 · outbound

This paper cites WAFP-Net: Weighted Attention Fusion Based Progressive Residual Learning for Depth Map Super-Resolution.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution WAFP-Net: Weighted Attention Fusion Based Progressive Residual Learning for Depth Map Super-Resolution

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.538747Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8188f64f-858d-4003-bacb-2f2737d453cc · outbound

This paper cites High-resolution depth maps imaging via attention-based hierarchical multi-modal fusion.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution High-resolution depth maps imaging via attention-based hierarchical multi-modal fusion

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.527223Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation caae16a9-fb00-4d24-b69f-f7715f6e628c · outbound

This paper cites The fully convolutional transformer for medical image segmentation.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution The fully convolutional transformer for medical image segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.513859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8c14b9b5-dc5b-457f-8adb-f3a624d20642 · outbound

This paper cites and Liu, Q.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution and Liu, Q

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.502839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 217489de-1da3-4951-aac9-9b7b6c6bd3a2 · outbound

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

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Indoor segmentation and support inference from rgbd images

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.490183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 11e3a5ab-3ad2-4c2a-948d-324ebfd7614e · outbound

This paper cites Evaluation of cost functions for stereo matching.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Evaluation of cost functions for stereo matching

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.477018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 42411d61-a027-4fd8-b69a-b6b0409c62ad · outbound

This paper cites Learning conditional random fields for stereo.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Learning conditional random fields for stereo

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.465520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7ec21e87-9631-449a-87fc-c62cae65d4f4 · outbound

This paper cites Depth enhancement via low-rank matrix completion.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Depth enhancement via low-rank matrix completion

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.452482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d4ef9e6-221d-43a9-b713-e911b993d3a4 · outbound

This paper cites Learning dynamic guidance for depth image enhancement.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Learning dynamic guidance for depth image enhancement

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.440557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4e64e4ac-2a97-4614-bc3b-0f9396078dca · outbound

This paper cites Spatially variant linear representation models for joint filtering.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Spatially variant linear representation models for joint filtering

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.428263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4b6f9459-732b-4249-9e1b-da30cad3af2d · outbound

This paper cites Deformable kernel networks for guided depth map upsampling.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Deformable kernel networks for guided depth map upsampling

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:25:13.333197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 019c008d-fc4c-4b80-b9d8-d296eb4e85ad · outbound

This paper cites Joint image filtering with deep convolutional networks.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Joint image filtering with deep convolutional networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.415860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 12e270c6-c08b-4621-aebb-5c7602d222e7 · outbound

This paper cites Pixel-adaptive convolutional neural networks.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Pixel-adaptive convolutional neural networks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.403050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ed15002e-092e-432d-9345-0196f57e3083 · outbound

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

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Depth map super-resolution by deep multi-scale guidance

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.391070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation afeba968-916b-4a78-a587-dda0be01b393 · outbound

This paper cites Deep joint image filtering.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Deep joint image filtering

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.377443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 35c714f7-56b7-4263-a081-f5f1c5e118b3 · outbound

This paper cites Deep convolutional neural network for multi-modal image restoration and fusion.

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution Deep convolutional neural network for multi-modal image restoration and fusion

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:25:13.364559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.