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Paper Citation Record · LEDGER

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution

As of 20 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 2026-08-19T06:32:44.657259+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

  • verified exact2
  • verified fuzzy45
  • unresolved0
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

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

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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.

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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

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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.

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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

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Source-reported events for the cited work

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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

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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.

source=pdf_text observed=2026-08-10T22:25:13.127472Z digest=sha256:1937f9a35295d726c60e6fb92d9abf7590163a31d7a10d019d98278bc5c94cd9

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

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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.

source=pdf_text observed=2026-08-10T22:25:13.131488Z digest=sha256:0fd1b4102fa277548017f8934ab4afa5c4880f791acee5d1d2a596aafcd973b5

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

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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.

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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

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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.

source=pdf_text observed=2026-08-10T22:25:13.139525Z digest=sha256:faa610d1f1fdd2f5097e55feda5a02f5ae26f0534d203aa811804d68fd07198c

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

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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.

source=pdf_text observed=2026-08-10T22:25:13.143086Z digest=sha256:da26258030659a7025539b5010bb3ef3ae8fc5aa3f3be587f973660580e3b40f

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

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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.

source=pdf_text observed=2026-08-10T22:25:13.146689Z digest=sha256:02ca582f77baaf46a685912b65d1487e4a9aa3bbf31c1014f50c535ee97b314b

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

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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.

source=pdf_text observed=2026-08-10T22:25:13.150244Z digest=sha256:3d16f6edf2403cdfa1b4830762f10c3bc14a8fe76f5c13d3f3451b3781821183

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

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

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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

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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.

source=pdf_text observed=2026-08-10T22:25:13.157775Z digest=sha256:d94f79b3c371387c1b39606075455d8b0a2a2d056d2d27ea415141ae1cf7e10b

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

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

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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

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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.

source=pdf_text observed=2026-08-10T22:25:13.164563Z digest=sha256:73f9732cfc5ca4498e3e965737185a912d48e85463ed6c6136825f619c2ddf5f

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

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

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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

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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.

source=pdf_text observed=2026-08-10T22:25:13.171902Z digest=sha256:77c78c47f80c183b8a3162fa9538d52098c2004b9b09cba88daeb2a1f5ca76ee

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

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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

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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

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source=pdf_text observed=2026-08-10T22:25:13.182413Z digest=sha256:4113a79ed623fa1a57ce5ca9ada1d7292ea62548ff732a84c2d51bee9c8d969b

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

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source=pdf_text observed=2026-08-10T22:25:13.186365Z digest=sha256:8f89a42b1bc74d301c33a8f3bce89ce7456d6232d7cec6b2195933e297c89a00

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

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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

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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

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raw_fallback, observed 2026-08-10T22:25:13.635374Z

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source=pdf_text observed=2026-08-10T22:25:13.197373Z digest=sha256:f369112303f0a6a392bbbba4e410e624e502683aecc66beb3f30f9fa2980f609

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

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raw_fallback, observed 2026-08-10T22:25:13.624475Z

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

source=pdf_text observed=2026-08-10T22:25:13.201065Z digest=sha256:430c444c36f54205021c5e00bbb7f645c73346d4f81c8261bdf4b26c89612ba6

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

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raw_fallback, observed 2026-08-10T22:25:13.612203Z

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.

source=pdf_text observed=2026-08-10T22:25:13.204700Z digest=sha256:dad25ebba3a40eb444e5dd2e4348c58b65ee094174c884778d7889e293eb2251

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

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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.

source=pdf_text observed=2026-08-10T22:25:13.208316Z digest=sha256:926b124253cabd3fca01a3d288cf0184eea0f0898e90ede392aa2bb7e70c7249

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

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raw_fallback, observed 2026-08-10T22:25:13.584987Z

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.

source=pdf_text observed=2026-08-10T22:25:13.211743Z digest=sha256:8c9a557671f25ebf510d307e7502d748f8dab7dab71b4ff8582783c598ed23da

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
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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.215386Z digest=sha256:86f5bc52ec15cae568386c41a5e4bea0ef072b23dda7611eca8b732e84bb03ec

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
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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.219070Z digest=sha256:1020bd556a00b0adccaa485bf4388615c24630f93a14a45c7885b2b28c5c89b6

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.223084Z digest=sha256:c9d34a4482723ffbe4d3f7fe5fee18c15e1328add3441a15dbd51b057b259c69

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
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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.226837Z digest=sha256:87ae373050e4b39144f68b81a0671bc8cbc9c5c7d2752742e294eb84e9ecec55

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
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raw_fallback, observed 2026-08-10T22:25:13.538747Z

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.

source=pdf_text observed=2026-08-10T22:25:13.230584Z digest=sha256:cfb379b1a86e5ea515f6072b78fc559f56cd6f5614384d69715ea3fdf6cfbf88

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
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raw_fallback, observed 2026-08-10T22:25:13.527223Z

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.

source=pdf_text observed=2026-08-10T22:25:13.234165Z digest=sha256:b458eed59e1f732ef31da2b6708d8e75f1f1cce37cb1ffc79681eb419050a798

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 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.241639Z digest=sha256:dd5f501887f6c4d6d4d74fbcf6a8cc6acd134e70df6fa901bf05381ae68d47af

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.245765Z digest=sha256:0ea6f60987e4a51a9d55036c5d9662ae628543a9f84fdde9ddc25c0158198a75

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.249481Z digest=sha256:501a9645463e1d764263ae75776ee13a4f7c108bc5315a9072b4277fbcef3ccf

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.253374Z digest=sha256:9e808d693a4f24e0c4868f1a97ec8136b043b642116de975e9d3adb28a3c7c23

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.257184Z digest=sha256:9517371fb374774196a3b7fb396c6516148948a7eb909f0ec07360aadb802068

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.261262Z digest=sha256:1be4105e4e7dcf10a441a1f8b4d9a98c06ecca3079ce85b05bd9629d741db4d6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.265285Z digest=sha256:0a80cb65e01f3290e60faf38f3b738a186396f1cc4fb698f2beb8b2eb00fba25

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.269565Z digest=sha256:d4cabd3cd4711c097decffb280691ca0970202f20c09b764690af2a9fa88ed75

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.274555Z digest=sha256:c37d822ecb520317d0c53e222d76e32cb9998a841c966b87dc4f6fdad156d4c4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.278782Z digest=sha256:e80f7b7be0755a17bd2251ed7a2123dc3f6aed329ad96047c30e1bb0d4aca697

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.282741Z digest=sha256:7ea145998ea0e51a793909514df21057f73287afbb770e172f98eb217cf1a67c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.287695Z digest=sha256:fe8ecba41ee7b625362c14b56af4d85b0ccbc1d7495dd29749e2e85114be51f0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-10T22:25:13.292057Z digest=sha256:9d8b5a77fe30980f4cd3adee087bccd3f2201cbe3d2f1c7c794388dac8a7c888

Pith citing papers

No inbound Pith citation observations are available.