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Paper Citation Record · LEDGER

A Survey of 3D Reconstruction with Event Cameras

As of 22 August 2026, this Paper Citation Record lists 100 of 202 outbound references and 1 inbound Pith citation observation for arXiv:2505.08438.

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

pith.paper-citation-record.v1
2505.08438 v4

Coverage vector

measured 100 of 202 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:59:51.905009Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:48:11.277765Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:48:14.273491Z

Reference resolution

100 of 202 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved95
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43107c06-be1a-413c-a9d2-fb3929cceaa5 · outbound

This paper cites an unresolved cited work.

A Survey of 3D Reconstruction with Event Cameras Unresolved cited work

Reference 2

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Observation 4101f2a9-73da-440c-a1fe-3244194f907f · outbound

This paper cites J.; McKay, N.

A Survey of 3D Reconstruction with Event Cameras J.; McKay, N

Reference 3

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Observation 507dc0a7-fd71-4238-bddf-f2103be2b72e · outbound

This paper cites E.; Cline, H.

A Survey of 3D Reconstruction with Event Cameras E.; Cline, H

Reference 4

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Observation 7b74d7c0-645f-4492-be1b-82dfe9203e87 · outbound

This paper cites A volumetric method for building complex models from range images.

A Survey of 3D Reconstruction with Event Cameras A volumetric method for building complex models from range images

Reference 5

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source=pdf_text observed=2026-08-15T21:59:51.464574Z digest=sha256:bee1a974499f0a2bc422e5c954f971fd1ac967ef7ef01d7268ec62e1f50fe0d7

Observation c906f93c-25c8-49d5-be4c-1049c7710616 · outbound

This paper cites Neural 3D recon- struction from sparse views using geometric priors.Compu- tational Visual Media, 2023, 9(4): 687–697.

A Survey of 3D Reconstruction with Event Cameras Neural 3D recon- struction from sparse views using geometric priors.Compu- tational Visual Media, 2023, 9(4): 687–697

Reference 6

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Observation 73df051d-5540-4847-9201-657ab950a291 · outbound

This paper cites High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review.Computational Visual Media, 2022, 8(3): 369– 393.

A Survey of 3D Reconstruction with Event Cameras High-quality indoor scene 3D reconstruction with RGB-D cameras: A brief review.Computational Visual Media, 2022, 8(3): 369– 393

Reference 7

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Observation a3e40786-48f4-4b2a-9635-1bb1e3660213 · outbound

This paper cites Structured-light 3D surface imaging: a tutorial.Ad- vances in optics and photonics, 2011, 3(2): 128–160.

A Survey of 3D Reconstruction with Event Cameras Structured-light 3D surface imaging: a tutorial.Ad- vances in optics and photonics, 2011, 3(2): 128–160

Reference 8

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Observation e05d9243-e997-447a-aea4-d5c9cfe1ed0b · outbound

This paper cites 3D building modeling using images and LiDAR: A review.International Journal of Image and Data Fusion, 2013, 4(4): 273–292.

A Survey of 3D Reconstruction with Event Cameras 3D building modeling using images and LiDAR: A review.International Journal of Image and Data Fusion, 2013, 4(4): 273–292

Reference 9

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source=pdf_text observed=2026-08-15T21:59:51.484802Z digest=sha256:a63a1f553e7e5b0ee02720e5762e2650a524bd3dfa7d176104f7d4b4ffeffa22

Observation f2b49847-e13f-4893-a7de-2e1b168cdbab · outbound

This paper cites A compre- hensive review of vision-based 3D reconstruction methods.

A Survey of 3D Reconstruction with Event Cameras A compre- hensive review of vision-based 3D reconstruction methods

Reference 10

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source=pdf_text observed=2026-08-15T21:59:51.490419Z digest=sha256:656cff23d37c78aabfe967b934fdf18a8439bce41e80a1d7b8f4ec3e72d783b5

Observation 73faebc6-dfc0-4367-963c-760b3366747a · outbound

This paper cites A 128×128 120 dB 15µs Latency Asynchronous Temporal Contrast Vision Sensor.IEEE journal of solid-state circuits, 2008, 43(2): 566–576.

A Survey of 3D Reconstruction with Event Cameras A 128×128 120 dB 15µs Latency Asynchronous Temporal Contrast Vision Sensor.IEEE journal of solid-state circuits, 2008, 43(2): 566–576

Reference 11

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Observation 2b653d51-718a-4f1b-a049-c5e0d3a0c8bd · outbound

This paper cites Retinomorphic event-based vision sensors: bioinspired cameras with spiking output.Proceedings of the IEEE, 2014, 102(10): 1470–1484.

A Survey of 3D Reconstruction with Event Cameras Retinomorphic event-based vision sensors: bioinspired cameras with spiking output.Proceedings of the IEEE, 2014, 102(10): 1470–1484

Reference 12

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Observation d9c135d5-a015-4982-a64e-bd61f36fa5c0 · outbound

This paper cites Event-based moving object detection and tracking.

A Survey of 3D Reconstruction with Event Cameras Event-based moving object detection and tracking

Reference 13

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Observation dc1abea1-e0a4-4cd3-a3a2-02d3eb391180 · outbound

This paper cites EV-gait: Event-based robust gait recognition using dy- namic vision sensors.

A Survey of 3D Reconstruction with Event Cameras EV-gait: Event-based robust gait recognition using dy- namic vision sensors

Reference 14

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Observation dfe037ce-9da2-4f1e-8ace-78c57f485f6c · outbound

This paper cites an unresolved cited work.

A Survey of 3D Reconstruction with Event Cameras Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-15T21:59:51.512714Z digest=sha256:7ea26cd6f4d2e281d3e3d0c2317a7edbb707fbd3f9f7fcf92ff22d5c90130c29

Observation e9b712c6-46bf-42f2-8c2b-8fcf17a7aa1d · outbound

This paper cites W.; Gao, Z.; Orchard, G.; Xiang, C.

A Survey of 3D Reconstruction with Event Cameras W.; Gao, Z.; Orchard, G.; Xiang, C

Reference 16

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source=pdf_text observed=2026-08-15T21:59:51.517124Z digest=sha256:942d351b38f486a1014a2582c533f7d509459f300e90dd70393e6a1c76607826

Observation bb252310-f37b-44b2-a831-a5ff8bd20c43 · outbound

This paper cites Turning frequency to resolution: Video super-resolution via event cameras.

A Survey of 3D Reconstruction with Event Cameras Turning frequency to resolution: Video super-resolution via event cameras

Reference 17

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source=pdf_text observed=2026-08-15T21:59:51.521759Z digest=sha256:a04185cd0820dc77bb6c87f755f41c43ed10d88acd053010efb0a6a81f9c4913

Observation 97ababb6-e50b-4605-95a7-1cf274b5dd36 · outbound

This paper cites Time lens: Event-based video A Survey of 3D Reconstruction with Event Cameras 25 frame interpolation.

A Survey of 3D Reconstruction with Event Cameras Time lens: Event-based video A Survey of 3D Reconstruction with Event Cameras 25 frame interpolation

Reference 18

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source=pdf_text observed=2026-08-15T21:59:51.526343Z digest=sha256:03b7fe25c5934e068439dc265a1e4ef30f023ffba4b1d5b921aebb847f6b9cf4

Observation fda93209-7c35-4f57-b446-f97dc0d13c10 · outbound

This paper cites Towards Real-World Event-Guided Low-Light Video Enhancement and Deblurring.

A Survey of 3D Reconstruction with Event Cameras Towards Real-World Event-Guided Low-Light Video Enhancement and Deblurring

Reference 19

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Observation 2a383f53-122c-4080-8103-c5d61c42557f · outbound

This paper cites Event-based line slam in real-time.IEEE Robotics and Automation Letters, 2022, 7(3): 8146–8153.

A Survey of 3D Reconstruction with Event Cameras Event-based line slam in real-time.IEEE Robotics and Automation Letters, 2022, 7(3): 8146–8153

Reference 20

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Observation 423f30af-998a-48a2-bf83-4d39ce8b36d3 · outbound

This paper cites Devo: Depth-event camera visual odometry in challenging conditions.

A Survey of 3D Reconstruction with Event Cameras Devo: Depth-event camera visual odometry in challenging conditions

Reference 21

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Observation 37c3c5d3-18da-41a0-b280-30c087fa95ad · outbound

This paper cites Low-latency automotive vision with event cameras.Nature, 2024, 629(8014): 1034–1040.

A Survey of 3D Reconstruction with Event Cameras Low-latency automotive vision with event cameras.Nature, 2024, 629(8014): 1034–1040

Reference 22

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source=pdf_text observed=2026-08-15T21:59:51.544553Z digest=sha256:c6db592e578b9a6b49c406d537ba75e122ef1b986d56f989f1b9d5785cd5e94c

Observation 7fe442d7-5eda-4b11-aa45-151898fee237 · outbound

This paper cites Event camera based real-time detection and tracking of in- door ground robots.IEEE Access, 2021, 9: 166588–166602.

A Survey of 3D Reconstruction with Event Cameras Event camera based real-time detection and tracking of in- door ground robots.IEEE Access, 2021, 9: 166588–166602

Reference 23

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Observation 6798a459-69b2-4786-a40c-5841d065513d · outbound

This paper cites Event-Assisted Object Tracking on High-Speed Drones in Harsh Illumination En- vironment.Drones, 2024, 8(1): 22.

A Survey of 3D Reconstruction with Event Cameras Event-Assisted Object Tracking on High-Speed Drones in Harsh Illumination En- vironment.Drones, 2024, 8(1): 22

Reference 24

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Observation f07f064e-d8a4-4fa6-96f8-b4002ae2a899 · outbound

This paper cites Intelligent machinery fault diagnosis with event-based camera.IEEE Transactions on Industrial Informatics, 2023, 20(1): 380–389.

A Survey of 3D Reconstruction with Event Cameras Intelligent machinery fault diagnosis with event-based camera.IEEE Transactions on Industrial Informatics, 2023, 20(1): 380–389

Reference 25

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Observation 7bd2a09f-071e-4fc3-bb41-c46e671b8bf2 · outbound

This paper cites J.; Conradt, J.; Daniilidis, K.; et al.

A Survey of 3D Reconstruction with Event Cameras J.; Conradt, J.; Daniilidis, K.; et al

Reference 26

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source=pdf_text observed=2026-08-15T21:59:51.563468Z digest=sha256:0cd272eaab87e7fae32d0051efd6800ed11d2591eb9a5195f35598139771c097

Observation 3ba8ed38-9aa8-4714-8beb-236e49b9010c · outbound

This paper cites Towards End- to-End Neuromorphic Voxel-based 3D Object Reconstruc- tion Without Physical Priors.

A Survey of 3D Reconstruction with Event Cameras Towards End- to-End Neuromorphic Voxel-based 3D Object Reconstruc- tion Without Physical Priors

Reference 27

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Observation 2687be03-1b30-41c3-8ef4-0c02d1afcbb4 · outbound

This paper cites EVI-SAM: Robust, Real-Time, Tightly-Coupled Event–Visual–Inertial State Estimation and 3D Dense Mapping.Advanced Intelli- gent Systems, 2024, 6(12): 2400243.

A Survey of 3D Reconstruction with Event Cameras EVI-SAM: Robust, Real-Time, Tightly-Coupled Event–Visual–Inertial State Estimation and 3D Dense Mapping.Advanced Intelli- gent Systems, 2024, 6(12): 2400243

Reference 28

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source=pdf_text observed=2026-08-15T21:59:51.572072Z digest=sha256:148e5338419b54d8a187f4c7fc6f9dcf1903d91d96cbacc0c28bf7e9aa8867b7

Observation 5260134c-9875-4fef-9cec-1d05e5ce8dcd · outbound

This paper cites E2gs: Event enhanced gaussian splatting.

A Survey of 3D Reconstruction with Event Cameras E2gs: Event enhanced gaussian splatting

Reference 29

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source=pdf_text observed=2026-08-15T21:59:51.576537Z digest=sha256:b3b2fece2e0f6991ba776f6e6e78ca4f5fb64a1b94be5a20081e67cf44d84a59

Observation dcca0419-2127-488a-9e47-083e22bea092 · outbound

This paper cites Event- based 3D reconstruction from neuromorphic retinas.Neural Networks, 2013, 45: 27–38.

A Survey of 3D Reconstruction with Event Cameras Event- based 3D reconstruction from neuromorphic retinas.Neural Networks, 2013, 45: 27–38

Reference 30

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source=pdf_text observed=2026-08-15T21:59:51.580933Z digest=sha256:097fdbc755564e26031e524bbd190321d38126a96ea37d96c9fe411b5ab0f302

Observation a2d558b1-5851-4310-a58c-67a4fc4298f2 · outbound

This paper cites Asynchronous stereo vision for event-driven dynamic stereo sensor using an adaptive cooperative approach.

A Survey of 3D Reconstruction with Event Cameras Asynchronous stereo vision for event-driven dynamic stereo sensor using an adaptive cooperative approach

Reference 31

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Observation ebf3f33b-98c0-4223-81d4-8cfd16f58683 · outbound

This paper cites Event-driven stereo matching for real-time 3D panoramic vision.

A Survey of 3D Reconstruction with Event Cameras Event-driven stereo matching for real-time 3D panoramic vision

Reference 32

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Observation cfe6002c-2f63-4802-a7fe-3f854ac0f783 · outbound

This paper cites an unresolved cited work.

A Survey of 3D Reconstruction with Event Cameras Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-15T21:59:51.594738Z digest=sha256:447ff3bf28c0583bbda19c7f2ed7dcca6e99a4868ab92077a82500dea946822f

Observation 12345410-606d-4c53-a98e-ab0147621e3e · outbound

This paper cites Event-Based Structured Light for Depth Reconstruction using Frequency Tagged Light Patterns.

A Survey of 3D Reconstruction with Event Cameras Event-Based Structured Light for Depth Reconstruction using Frequency Tagged Light Patterns

Reference 34

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source=pdf_text observed=2026-08-15T21:59:51.599032Z digest=sha256:ba31a20e8bf60aa03cc0df2c897f582255c6173341e6d9b991054258fa0e4822

Observation dc1900e2-8363-4b47-8892-f91708b024c2 · outbound

This paper cites E-nerf: Neural radiance fields from a moving event camera.IEEE Robotics and Automation Letters, 2023, 8(3): 1587–1594.

A Survey of 3D Reconstruction with Event Cameras E-nerf: Neural radiance fields from a moving event camera.IEEE Robotics and Automation Letters, 2023, 8(3): 1587–1594

Reference 35

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Observation 448c0111-7de6-4148-abed-b4c0e2e5a802 · outbound

This paper cites Neu- romorphic event-based generalized time-based stereovision.

A Survey of 3D Reconstruction with Event Cameras Neu- romorphic event-based generalized time-based stereovision

Reference 36

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source=pdf_text observed=2026-08-15T21:59:51.608562Z digest=sha256:3f547445cd38d1631d9d5c1b51d8319c85d3c2a99d16b130609cf37425c4ac9a

Observation 801459c8-f68d-4c6d-b11f-9294e93164c1 · outbound

This paper cites Z.; Chen, Y.; Daniilidis, K.

A Survey of 3D Reconstruction with Event Cameras Z.; Chen, Y.; Daniilidis, K

Reference 37

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source=pdf_text observed=2026-08-15T21:59:51.613010Z digest=sha256:aec46f973b145e8e7d8623c87e7500bf788d3a248787d4d160b02cdebd8712c0

Observation 9aadf385-1557-4136-b196-efd765f18069 · outbound

This paper cites E2pnet: event to point cloud reg- istration with spatio-temporal representation learning.Ad- vances in Neural Information Processing Systems, 2023, 36: 18076–18089.

A Survey of 3D Reconstruction with Event Cameras E2pnet: event to point cloud reg- istration with spatio-temporal representation learning.Ad- vances in Neural Information Processing Systems, 2023, 36: 18076–18089

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source=pdf_text observed=2026-08-15T21:59:51.617594Z digest=sha256:66cde6ae8c94201221cbbc71fd487d4a27095377c4db98c0b01425f61f6cbeae

Observation 43926a14-5e6e-43ce-8214-4e186594081c · outbound

This paper cites Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks.

A Survey of 3D Reconstruction with Event Cameras Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

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source=pdf_text observed=2026-08-15T21:59:51.626352Z digest=sha256:990987c6e98c9f795e9b35f0d12ff15c814a8b598ac05e6489b24ad8c4492755

Observation 93ac39a9-0eae-4314-ba7e-fb8a8985954a · outbound

This paper cites Cross-modal Semidense 6-DOF Tracking of an Event Camera in Challeng- ing Conditions.IEEE Transactions on Robotics, 2024, 40(2): 1600–1616.

A Survey of 3D Reconstruction with Event Cameras Cross-modal Semidense 6-DOF Tracking of an Event Camera in Challeng- ing Conditions.IEEE Transactions on Robotics, 2024, 40(2): 1600–1616

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source=pdf_text observed=2026-08-15T21:59:51.631671Z digest=sha256:9c556d3cfd7751041fd2abe3fdf077ddf906491d6feef135241873d1a330524e

Observation c042710c-67a7-4977-ae1d-4824e7a4bfdd · outbound

This paper cites an unresolved cited work.

A Survey of 3D Reconstruction with Event Cameras Unresolved cited work

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source=pdf_text observed=2026-08-15T21:59:51.636411Z digest=sha256:6637a7c3643e105e28748c8d29993818f5c307593e5639d03728e48261210897

Observation ccc649cd-c46f-4912-a401-f99c15349e24 · outbound

This paper cites 3D pose estimation of two interacting hands from a monocular event camera.

A Survey of 3D Reconstruction with Event Cameras 3D pose estimation of two interacting hands from a monocular event camera

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source=pdf_text observed=2026-08-15T21:59:51.640882Z digest=sha256:b4ee0ffd50c940b87b244aa0de31bc3beabc082832409bd5f3eab96b8e705c84

Observation 7f1c1370-5ee1-475d-ab66-2aa86d87996f · outbound

This paper cites Learning monocular dense depth from events.

A Survey of 3D Reconstruction with Event Cameras Learning monocular dense depth from events

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source=pdf_text observed=2026-08-15T21:59:51.645408Z digest=sha256:7adaac50269cd1d16eaf37ac21b66ec0310b98831a32b05fc1522730258091cc

Observation 77c93d06-c43a-4a55-8363-de521cde32c4 · outbound

This paper cites Y.; Liu, T.

A Survey of 3D Reconstruction with Event Cameras Y.; Liu, T

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source=pdf_text observed=2026-08-15T21:59:51.649920Z digest=sha256:7f0d11272f763e3351329e48aa049c9f3c94a27de634727f15a54ad0e6d6c8b1

Observation 952d05f9-8791-4cca-838a-593e0513fba1 · outbound

This paper cites EvAnimate: Event-conditioned Image-to-Video Generation for Human Animation.

A Survey of 3D Reconstruction with Event Cameras EvAnimate: Event-conditioned Image-to-Video Generation for Human Animation

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source=pdf_text observed=2026-08-15T21:59:51.654428Z digest=sha256:42a9c4c1bbc5ae38fb0c2d6fb65b5d651484031417bb9fe3beca5d7dd92ae524

Observation cae24b26-4eec-4baf-a780-a5dbb117d9fd · outbound

This paper cites Y.; Cai, W.; Shen, Y.

A Survey of 3D Reconstruction with Event Cameras Y.; Cai, W.; Shen, Y

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source=pdf_text observed=2026-08-15T21:59:51.659219Z digest=sha256:b60e55473d6a6cddab2b1c1c5d620d3cb4c96a9487beecb491ba20ea6996bfa7

Observation 43457d73-c583-4e56-995c-ed7979edf6b1 · outbound

This paper cites M.; Morrell, B.; Delaune, J.; Scaramuzza, D.

A Survey of 3D Reconstruction with Event Cameras M.; Morrell, B.; Delaune, J.; Scaramuzza, D

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source=pdf_text observed=2026-08-15T21:59:51.663425Z digest=sha256:09ebf4fd8b37154cbca4bef81c01e82a4b7fe96b5004808a88591a7881ebca26

Observation d628fd87-b279-4b09-8771-34390e019cd2 · outbound

This paper cites SEV AR: a stereo event camera dataset for virtual and augmented reality.Frontiers of Infor- mation Technology & Electronic Engineering, 2024, 25(5): 755–762.

A Survey of 3D Reconstruction with Event Cameras SEV AR: a stereo event camera dataset for virtual and augmented reality.Frontiers of Infor- mation Technology & Electronic Engineering, 2024, 25(5): 755–762

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source=pdf_text observed=2026-08-15T21:59:51.667780Z digest=sha256:752d6c71b7b6fac6a6b7a44d915d1734fc086cd2c03434505a26446f1b0ee4e6

Observation c482c8ab-f703-4aad-bfc8-afe9bb0fd549 · outbound

This paper cites I.; Loquercio, A.; Gallego, G.; Garc ´ıa, N.; Scaramuzza, D.

A Survey of 3D Reconstruction with Event Cameras I.; Loquercio, A.; Gallego, G.; Garc ´ıa, N.; Scaramuzza, D

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source=pdf_text observed=2026-08-15T21:59:51.671996Z digest=sha256:6edc282c15abf64661dde1b9c169e9f325eade5c798ec13ed5931611124f1163

Observation 122ac404-97f0-4abd-9f9b-1af5abf32ab7 · outbound

This paper cites EMVS: Event-based multi-view stereo—3D reconstruction with an event camera in real-time.International Journal of Computer Vision, 2018, 126(12): 1394–1414.

A Survey of 3D Reconstruction with Event Cameras EMVS: Event-based multi-view stereo—3D reconstruction with an event camera in real-time.International Journal of Computer Vision, 2018, 126(12): 1394–1414

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source=pdf_text observed=2026-08-15T21:59:51.676289Z digest=sha256:237450a64d7ffc2f65a1ed28965f30556961c1776c637258691cecc5360d377a

Observation 32c611f3-dffc-4e8a-8d41-924d47b5c958 · outbound

This paper cites E.; Benos- man, R.

A Survey of 3D Reconstruction with Event Cameras E.; Benos- man, R

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source=pdf_text observed=2026-08-15T21:59:51.680639Z digest=sha256:b222a3ce572052432f5588cf807cc9db51ca622eb6a8812baec45a0514526b7a

Observation 68c0b303-ba2b-45c4-b5b1-a6f55c1d8f15 · outbound

This paper cites Adaptive Time-Slice Block-Matching Optical Flow Algorithm for Dynamic Vision Sensors.

A Survey of 3D Reconstruction with Event Cameras Adaptive Time-Slice Block-Matching Optical Flow Algorithm for Dynamic Vision Sensors

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source=pdf_text observed=2026-08-15T21:59:51.684884Z digest=sha256:43e1ebc5209e8847348b826d1db1b2ca41bfb4577027527f1f74125e56823dae

Observation b4fe4790-3cdb-4db7-9987-845071880588 · outbound

This paper cites J.; Leutenegger, S.

A Survey of 3D Reconstruction with Event Cameras J.; Leutenegger, S

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source=pdf_text observed=2026-08-15T21:59:51.689503Z digest=sha256:0eb4c6ca86b20d93d45c9a60008d6ec909973462f15aa731e7b3afb73a4ce190

Observation 156a446b-8f3b-452a-82fd-c5a456ac69fd · outbound

This paper cites EaDeblur-GS: Event assisted 3D Deblur Reconstruction with Gaussian Splatting.

A Survey of 3D Reconstruction with Event Cameras EaDeblur-GS: Event assisted 3D Deblur Reconstruction with Gaussian Splatting

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source=pdf_text observed=2026-08-15T21:59:51.694087Z digest=sha256:f6ff7b657f1599df3fd09c3db22213150f1c9c250676cb1498ed8f2fff81a142

Observation 3ecbf946-003b-43a3-882f-7cc8ca6e83ae · outbound

This paper cites EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splat- ting.arXiv preprint arXiv:2410.15392, 2024.

A Survey of 3D Reconstruction with Event Cameras EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splat- ting.arXiv preprint arXiv:2410.15392, 2024

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source=pdf_text observed=2026-08-15T21:59:51.698838Z digest=sha256:7aeac3d2ffc82d974b9820dd77b4cef0935a3363c3f3d6dc9568e6fb1bf2a062

Observation 0b5f033f-fdfa-481e-b764-5e6785ac51ee · outbound

This paper cites Stereoscan: Dense 3D reconstruction in real-time.

A Survey of 3D Reconstruction with Event Cameras Stereoscan: Dense 3D reconstruction in real-time

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source=pdf_text observed=2026-08-15T21:59:51.703478Z digest=sha256:b48ce170739b398068ddfae720d4c2c225b6d7e89d1b73a9988549aebfc8f22c

Observation 45a77712-9591-4706-a810-4225c07c1794 · outbound

This paper cites J.; Florence, P.; Straub, J.; Newcombe, R.; Love- grove, S.

A Survey of 3D Reconstruction with Event Cameras J.; Florence, P.; Straub, J.; Newcombe, R.; Love- grove, S

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source=pdf_text observed=2026-08-15T21:59:51.707798Z digest=sha256:ce8a9fefb1a7c66f9a226501e5ba93496705ec1d5bec0d82a166fd5e3f86c252

Observation 93234f25-fc5f-4161-bfa4-5b38c9345b47 · outbound

This paper cites P.; Tancik, M.; Barron, J.

A Survey of 3D Reconstruction with Event Cameras P.; Tancik, M.; Barron, J

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source=pdf_text observed=2026-08-15T21:59:51.712105Z digest=sha256:0d4f41455bdbefee5b0302bdd9d7184d2b3a0782a41074effdaf6667ad06fb33

Observation a40ea802-0eeb-4e48-9d3b-c472a76e1688 · outbound

This paper cites Occupancy networks: Learning 3D reconstruc- tion in function space.

A Survey of 3D Reconstruction with Event Cameras Occupancy networks: Learning 3D reconstruc- tion in function space

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.716692Z digest=sha256:ec75c450416978d48c2f6541d6ccdc8c4c90e0c2a916cfc304497b144c4b351b

Observation 6cae1fb2-c98c-43a1-8867-ec985fc7a242 · outbound

This paper cites Multi- scale hash encoding based neural geometry representation.

A Survey of 3D Reconstruction with Event Cameras Multi- scale hash encoding based neural geometry representation

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.721126Z digest=sha256:c9edb4e51bcefa14d9bb278dadcfe2abe7a032689df6552219ecead79e96b215

Observation 696efc01-0a48-4fe0-89bf-6e3a46bbe0f5 · outbound

This paper cites R.; Hu, S.-M.

A Survey of 3D Reconstruction with Event Cameras R.; Hu, S.-M

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source=pdf_text observed=2026-08-15T21:59:51.725497Z digest=sha256:ecd57c0a04dbc70e61934acaf8bf777e7680c4cc34d9a5a0db818045cbc91f7a

Observation ce0e4bbd-dfe7-4b71-9e0f-2c007a31e823 · outbound

This paper cites DeepFusion: Real-time dense 3D reconstruction for monocular SLAM using single-view depth and gradient predictions.

A Survey of 3D Reconstruction with Event Cameras DeepFusion: Real-time dense 3D reconstruction for monocular SLAM using single-view depth and gradient predictions

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source=pdf_text observed=2026-08-15T21:59:51.729809Z digest=sha256:bcf014407ffba5db33277dc340c08c40faf9a89a6b5e127f87dad180f1929efa

Observation 4e2f5e26-9a4d-4804-a659-0a06b91d38ab · outbound

This paper cites Robotic arm based 3D reconstruction test automation.IEEE Access, 2018, 6: 7206– 7213.

A Survey of 3D Reconstruction with Event Cameras Robotic arm based 3D reconstruction test automation.IEEE Access, 2018, 6: 7206– 7213

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source=pdf_text observed=2026-08-15T21:59:51.734268Z digest=sha256:42a6d762efc1fbde31513a5e5bc3132cfaf2fec27f47f27f4e046cf9741845b1

Observation e5111994-1cd6-452c-8c11-8285455f6739 · outbound

This paper cites Jnerf: An efficient heterogeneous nerf model zoo based on jittor.Com- putational Visual Media, 2023, 9(2): 401–404.

A Survey of 3D Reconstruction with Event Cameras Jnerf: An efficient heterogeneous nerf model zoo based on jittor.Com- putational Visual Media, 2023, 9(2): 401–404

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source=pdf_text observed=2026-08-15T21:59:51.738768Z digest=sha256:acc3125da7947303c6c5a46507afc1cf5cbc4d9cdd0578ef8021209968fbf886

Observation 08070e48-7808-4491-a361-ebb6eba018ea · outbound

This paper cites Y.; Shen, Y.

A Survey of 3D Reconstruction with Event Cameras Y.; Shen, Y

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.743075Z digest=sha256:002320937a08339d0cd210516408b3e69d73d02f4e58b39c3b3023834d496936

Observation 9bc14aac-e994-4afb-8aab-cbe8e3f1bcca · outbound

This paper cites A Simple and Effective Filtering Scheme for Im- proving Neural Fields.Computational Visual Media, 2025, 11(2): 343–359, doi:10.26599/CVM.2025.9450376.

A Survey of 3D Reconstruction with Event Cameras A Simple and Effective Filtering Scheme for Im- proving Neural Fields.Computational Visual Media, 2025, 11(2): 343–359, doi:10.26599/CVM.2025.9450376

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metadata mismatch
raw_fallback, observed 2026-08-15T21:59:53.438000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:59:51.747350Z digest=sha256:df2e3dff7ae07eb9f8820e4f6013f638da3da8dc26eadbaf6e8aa1501923985b

Observation 220e9806-9a3d-4907-84b2-d8b0f0d94975 · outbound

This paper cites an unresolved cited work.

A Survey of 3D Reconstruction with Event Cameras Unresolved cited work

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malformed identifier
doi_truncated, observed 2026-08-15T21:59:53.360881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:59:51.751762Z digest=sha256:0f10a7324f13fcfbf5c10011aa97593c3851c8f2f6ab78608b549049f95b1c2c

Observation abb43fe5-9595-4ded-a1e3-5bf258bbce27 · outbound

This paper cites 3D Gaussian Splatting for Real-Time Radiance Field Rendering.

A Survey of 3D Reconstruction with Event Cameras 3D Gaussian Splatting for Real-Time Radiance Field Rendering

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source=pdf_text observed=2026-08-15T21:59:51.756189Z digest=sha256:03b9a1da826438546880ae0909f0a70cac8b4c7b16948c54605fad769c42da6f

Observation 0014d429-406a-4a15-a93e-13d3488905ae · outbound

This paper cites Recent advances in 3D gaussian splatting.

A Survey of 3D Reconstruction with Event Cameras Recent advances in 3D gaussian splatting

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source=pdf_text observed=2026-08-15T21:59:51.760438Z digest=sha256:23bd93c85dd0bda65d04e8299923f29a2468c8c3d0960f394781d2823457a84f

Observation d9eeb886-fc81-4426-94a7-50b855532b14 · outbound

This paper cites Z.; Chen, Y.; Daniilidis, K.

A Survey of 3D Reconstruction with Event Cameras Z.; Chen, Y.; Daniilidis, K

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:51.764794Z digest=sha256:51e2ae4ff29eec027eefbec65ddbeea833d945a4d757c300f625af7e593e20bd

Observation bea886ce-97bf-4d4a-a509-88b532080140 · outbound

This paper cites S.An Analog VLSI System for Stereoscopic Vision.

A Survey of 3D Reconstruction with Event Cameras S.An Analog VLSI System for Stereoscopic Vision

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.769159Z digest=sha256:76f705e95499d404f3264949d579ece78450f155b55f395bd04b97f757414355

Observation 6fa7b983-af6a-487c-8562-673d970f3288 · outbound

This paper cites Chapter Address-Event Based Stereo Vision with Bio- Inspired Silicon Retina Imagers.Advances in Theory and Applications of Stereo Vision, 2011.

A Survey of 3D Reconstruction with Event Cameras Chapter Address-Event Based Stereo Vision with Bio- Inspired Silicon Retina Imagers.Advances in Theory and Applications of Stereo Vision, 2011

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source=pdf_text observed=2026-08-15T21:59:51.773968Z digest=sha256:87eb4294bd92e74b56742d2bbeae544ccfd180b79549a24e5f7ec2628835b97a

Observation 928ef626-2c43-43bb-ab89-db2f0f22c8f9 · outbound

This paper cites Z.; Thakur, D.; ¨Ozaslan, T.; Pfrommer, B.; Kumar, V.; Daniilidis, K.

A Survey of 3D Reconstruction with Event Cameras Z.; Thakur, D.; ¨Ozaslan, T.; Pfrommer, B.; Kumar, V.; Daniilidis, K

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source=pdf_text observed=2026-08-15T21:59:51.778417Z digest=sha256:313b2a6fac5b2d99d1350d888c34584dc91b6e74918c548320dcce4ec15e23e8

Observation a5ab5452-d44f-435e-a120-8416d49a9b1c · outbound

This paper cites Semi-dense 3D reconstruction with a stereo event camera.

A Survey of 3D Reconstruction with Event Cameras Semi-dense 3D reconstruction with a stereo event camera

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source=pdf_text observed=2026-08-15T21:59:51.782725Z digest=sha256:3347df3023e85604bcebb8a988c34f3d8d2cae0ad63f5cdb210516cc681d3e19

Observation ee437b32-f1c9-4870-a47f-42680ce6f8a6 · outbound

This paper cites Z.; Yuan, L.; Chaney, K.; Daniilidis, K.

A Survey of 3D Reconstruction with Event Cameras Z.; Yuan, L.; Chaney, K.; Daniilidis, K

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:51.787287Z digest=sha256:04131acb22649355028cb00755564adbdc3aee1a8d460b2f25df98a772b0c675

Observation d2a687e6-4db3-411a-a3ce-ad60593bbf85 · outbound

This paper cites Multi- view 3D reconstruction with self-organizing maps on event- based data.

A Survey of 3D Reconstruction with Event Cameras Multi- view 3D reconstruction with self-organizing maps on event- based data

Reference 77

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source=pdf_text observed=2026-08-15T21:59:51.791637Z digest=sha256:a95677042ad26440026638ae13d16389fe16e6e6bbf4d8b991f3aeaf61b1d8c4

Observation 0745d106-2d3e-42c7-8796-c8a3480232c3 · outbound

This paper cites Event-based stereo vi- sual odometry.IEEE Transactions on Robotics, 2021, 37(5): 1433–1450.

A Survey of 3D Reconstruction with Event Cameras Event-based stereo vi- sual odometry.IEEE Transactions on Robotics, 2021, 37(5): 1433–1450

Reference 78

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source=pdf_text observed=2026-08-15T21:59:51.795917Z digest=sha256:cdb4c926ceb35a6218f5431bd8b8b5c48316f11afd7eeb6a467fceb973fc03a7

Observation 686f2642-198c-4818-b064-e78dcf77feaa · outbound

This paper cites Stereo depth from events cameras: Concentrate and focus on the future.

A Survey of 3D Reconstruction with Event Cameras Stereo depth from events cameras: Concentrate and focus on the future

Reference 79

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source=pdf_text observed=2026-08-15T21:59:51.800314Z digest=sha256:1d26d19b01159b82a8c6a1a43926053eb205ba9c6a8e7ecc71ab471707d5a964

Observation e1ff20a2-a7fa-49ac-b2ee-9c5db8d26d24 · outbound

This paper cites E-RAFT: Dense Optical Flow from Event Cameras.

A Survey of 3D Reconstruction with Event Cameras E-RAFT: Dense Optical Flow from Event Cameras

Reference 80

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.804596Z digest=sha256:93d56ce2a6fcf02e7e13876356d82f79535c952aba2931f65331b170f4f19b0f

Observation e8b5e479-b70d-4384-9cf7-2de173e6e711 · outbound

This paper cites Multi-Event-Camera Depth Estima- tion and Outlier Rejection by Refocused Events Fusion.Ad- vanced Intelligent Systems, 2022, 4(12): 2200221.

A Survey of 3D Reconstruction with Event Cameras Multi-Event-Camera Depth Estima- tion and Outlier Rejection by Refocused Events Fusion.Ad- vanced Intelligent Systems, 2022, 4(12): 2200221

Reference 81

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source=pdf_text observed=2026-08-15T21:59:51.809476Z digest=sha256:9f50f274f969b85563ee00f6d2949bbf2461adb14d6dac6a926eee853cb55713

Observation 39f3e64d-1a11-4132-97af-e8f2d014e49b · outbound

This paper cites ES-PTAM: Event- Based Stereo Parallel Tracking and & nbsp;Mapping.

A Survey of 3D Reconstruction with Event Cameras ES-PTAM: Event- Based Stereo Parallel Tracking and & nbsp;Mapping

Reference 82

Resolution
verified exact
doi, observed 2026-08-15T21:59:52.447089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:59:51.814629Z digest=sha256:62b6d945aa75bb79807590f7b60dacd7b732fa178dfb20329831a7312d1dfb93

Observation 75ba653f-5c53-47d2-b248-793b765717cf · outbound

This paper cites Photometrically optimized event-based stereo 3D measurements.Optics Express, 2025, 33(2): 2924–2939.

A Survey of 3D Reconstruction with Event Cameras Photometrically optimized event-based stereo 3D measurements.Optics Express, 2025, 33(2): 2924–2939

Reference 83

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.819149Z digest=sha256:c99259c8fc5ba3a1c8eb65d8e48c448e29077d9618cfc6b09c12d6232bf2eada

Observation 910c8cfc-bcb6-4ffa-abc2-597d6cffb0b4 · outbound

This paper cites Calibration of and stereo measurements from two synchronized event cameras, 2024, figshare.

A Survey of 3D Reconstruction with Event Cameras Calibration of and stereo measurements from two synchronized event cameras, 2024, figshare

Reference 84

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.823512Z digest=sha256:0f0adb5e6ef334580237fb983349d8baf01da0dc6d96a42250adb6f01edbce3d

Observation 22fd0237-bf18-4a1b-99b7-7224fb77422d · outbound

This paper cites Derd-net: Learning depth from event-based ray densities.arXiv e- prints, 2025: arXiv–2504.

A Survey of 3D Reconstruction with Event Cameras Derd-net: Learning depth from event-based ray densities.arXiv e- prints, 2025: arXiv–2504

Reference 85

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source=pdf_text observed=2026-08-15T21:59:51.828362Z digest=sha256:e33e258531325cc02250198cb67437f5ac53c0c025c0aeb9ed247b24abea0a48

Observation b9bee45c-975c-4fbe-b289-67e5b34e2a6b · outbound

This paper cites Small vision systems: Hardware and imple- mentation.

A Survey of 3D Reconstruction with Event Cameras Small vision systems: Hardware and imple- mentation

Reference 86

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no resolver link, observed 2026-08-15T21:59:51.832576Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.832576Z digest=sha256:7e5ae09c776a85f0e1071f57ef612ae125f45bc6e3aee3927996b557d638dcf0

Observation 67955589-7cf1-45b9-9f3a-b6a2bcfb44ca · outbound

This paper cites L.; Wennekers, T.

A Survey of 3D Reconstruction with Event Cameras L.; Wennekers, T

Reference 87

Resolution
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source=pdf_text observed=2026-08-15T21:59:51.836833Z digest=sha256:04342d44a210af675b237ae38cfb17d3f3076298c9c75fff2502c6685fc00a06

Observation 82828e44-ae68-4598-a718-0495e41c4f16 · outbound

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

A Survey of 3D Reconstruction with Event Cameras U-net: Convolutional networks for biomedical image segmentation

Reference 88

Resolution
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no resolver link, observed 2026-08-15T21:59:51.841417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:51.841417Z digest=sha256:c9fabfd556eddf7bdd573bec1e893efd37bc9ddc9b22bef8900d5fab8817f624

Observation a4cc02e8-ed42-442a-9fb8-40cc8019d65e · outbound

This paper cites Deep residual learning for image recognition.

A Survey of 3D Reconstruction with Event Cameras Deep residual learning for image recognition

Reference 89

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no resolver link, observed 2026-08-15T21:59:51.847286Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.847286Z digest=sha256:3d62034c54f8787b80ec2999a976387df88731a83e07da764f143870622a881e

Observation 3d5c33bb-d904-4d1c-b677-a857d1a2277c · outbound

This paper cites Distilling the Knowledge in a Neural Network.

A Survey of 3D Reconstruction with Event Cameras Distilling the Knowledge in a Neural Network

Reference 90

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.851683Z digest=sha256:db4b9bd89a9640de138fa7bf8fa85aa9ac8d4ffb47e6bc774bc8f9f04503afbf

Observation 5d4aa01a-4a97-4f67-94bc-8c22212b6be8 · outbound

This paper cites Channel-wise knowledge distillation for dense prediction.

A Survey of 3D Reconstruction with Event Cameras Channel-wise knowledge distillation for dense prediction

Reference 91

Resolution
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no resolver link, observed 2026-08-15T21:59:51.856227Z

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source=pdf_text observed=2026-08-15T21:59:51.856227Z digest=sha256:79937a36038307e90cb55281f1637e09d408af42ed098f82cfd79dd8a254f034

Observation dd391b73-1821-4ee2-9ae4-3908d1722d32 · outbound

This paper cites Dsec: A stereo event camera dataset for driving scenarios.IEEE Robotics and Automation Letters, 2021, 6(3): 4947–4954.

A Survey of 3D Reconstruction with Event Cameras Dsec: A stereo event camera dataset for driving scenarios.IEEE Robotics and Automation Letters, 2021, 6(3): 4947–4954

Reference 92

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source=pdf_text observed=2026-08-15T21:59:51.860392Z digest=sha256:746a2f6db7f1aa6e1c69a0868df13b2186cdc46ae602a3f56ab65a99b498e84a

Observation 05bc74a9-637f-4e60-8760-cbb677a0122d · outbound

This paper cites Event- nerf: Neural radiance fields from a single colour event cam- era.

A Survey of 3D Reconstruction with Event Cameras Event- nerf: Neural radiance fields from a single colour event cam- era

Reference 93

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no resolver link, observed 2026-08-15T21:59:51.864792Z

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source=pdf_text observed=2026-08-15T21:59:51.864792Z digest=sha256:c6a61427b84cfb62353f6c8ce45b3f3fd940daae0c6a465285d4364ed46b7a03

Observation 7c8b52e7-f88a-446d-aa9d-40f521638be1 · outbound

This paper cites Eventsplat: 3d gaus- sian splatting from moving event cameras for real-time ren- dering.

A Survey of 3D Reconstruction with Event Cameras Eventsplat: 3d gaus- sian splatting from moving event cameras for real-time ren- dering

Reference 94

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source=pdf_text observed=2026-08-15T21:59:51.869203Z digest=sha256:52c35179fb284a15fc79abae0ff2c60a13a0ce7fd2ca449989355836ba6d21c1

Observation bb02a071-bfd6-4737-9da4-539b2feb941d · outbound

This paper cites E-3DGS: Event- Based Novel View Rendering of Large-Scale Scenes Using 3D Gaussian Splatting.

A Survey of 3D Reconstruction with Event Cameras E-3DGS: Event- Based Novel View Rendering of Large-Scale Scenes Using 3D Gaussian Splatting

Reference 95

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.873649Z digest=sha256:418a808d7b6127f5fc31035b8de51d5c6eee2fd208b075f1e13aebcb0d3c39d2

Observation f50757de-9540-4b4d-b4d5-e72f559d9024 · outbound

This paper cites EMVS: Event-based Multi-View Stereo—3D Reconstruction with an Event Camera in Real-Time.Int.

A Survey of 3D Reconstruction with Event Cameras EMVS: Event-based Multi-View Stereo—3D Reconstruction with an Event Camera in Real-Time.Int

Reference 96

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source=pdf_text observed=2026-08-15T21:59:51.878042Z digest=sha256:ed3544d680058409bf1bb1bc6397b34d0178e7c453690274e3c247342f949db5

Observation 0693c249-05fd-4000-86f6-bbf2900d2e56 · outbound

This paper cites Evo: A geometric approach to event-based 6-dof paral- lel tracking and mapping in real time.IEEE Robotics and Automation Letters, 2016, 2(2): 593–600.

A Survey of 3D Reconstruction with Event Cameras Evo: A geometric approach to event-based 6-dof paral- lel tracking and mapping in real time.IEEE Robotics and Automation Letters, 2016, 2(2): 593–600

Reference 97

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source=pdf_text observed=2026-08-15T21:59:51.883009Z digest=sha256:d9f5fc1bbbed727074fbd042f32fd1000bf154a427b0887c304b9559d2d4f760

Observation 4ac8645e-a274-4feb-9857-0ccbd138355c · outbound

This paper cites Voxblox: Incremental 3D euclidean signed distance fields for on-board mav planning.

A Survey of 3D Reconstruction with Event Cameras Voxblox: Incremental 3D euclidean signed distance fields for on-board mav planning

Reference 98

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:51.887268Z digest=sha256:f7449196e6a35cbb87096d4198deaaa8cdfcf905fbb1f2e36796fa79adfc6cb5

Observation 92e70084-6f72-4782-90fe-1628cd0b03ea · outbound

This paper cites H.; Chin, T.-J.

A Survey of 3D Reconstruction with Event Cameras H.; Chin, T.-J

Reference 99

Resolution
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.891537Z digest=sha256:e90631d03f2944411c958f20024dfb4ec116cd2a6b96c78f9d0dfabed1566cc3

Observation 6aa4d060-22b0-46a4-a82a-6d4bf47d8703 · outbound

This paper cites Factor graphs for robot per- ception.Foundations and Trends®in Robotics, 2017, 6(1-2): 1–139.

A Survey of 3D Reconstruction with Event Cameras Factor graphs for robot per- ception.Foundations and Trends®in Robotics, 2017, 6(1-2): 1–139

Reference 100

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.896018Z digest=sha256:64fa585033330c50fa6f4932d962751dbd9cdf3cdcfc9a82ee177cd5f54c8e66

Observation 00b69dac-c566-4270-96a1-a5dad048dfd5 · outbound

This paper cites The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM.

A Survey of 3D Reconstruction with Event Cameras The Event-Camera Dataset and Simulator: Event-based Data for Pose Estimation, Visual Odometry, and SLAM

Reference 101

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:59:53.091946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:59:51.900416Z digest=sha256:e3c7948f83ef8a1402ab24faf3b5be2f2354d5ab3c1a2aa817e27bff5494e33c

Observation 2d1ebca7-a006-466f-b3ce-808491ce8ccf · outbound

This paper cites E3D: Event-Based 3D Shape Reconstruction.

A Survey of 3D Reconstruction with Event Cameras E3D: Event-Based 3D Shape Reconstruction

Reference 102

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T21:59:51.905009Z digest=sha256:0adbd38a205d2765c9028e6ceb5988663839e30a4e4ad33ff95216b871135f30

Pith citing papers

Observation 17ea9b44-9e5a-4ba1-b1e5-7c7ad17af0f4 · inbound

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection cites this paper.

MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection A Survey of 3D Reconstruction with Event Cameras

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:48:14.333430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:48:11.277765Z digest=sha256:f192ee3dc4fbe3d67be7d32ffde5d48a3f8c49b02bf35a94bb1a7972bfcadf3d