Paper Citation Record · LEDGER

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention

As of 21 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2506.23542.

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

pith.paper-citation-record.v1
2506.23542 v1

Coverage vector

measured 46 of 46 reference resolution

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measured 46 of 46 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 8e487b7d-1b49-4cee-ad9d-a37c3e123489 · outbound

This paper cites Unsupervised domain adaptation for tof data denoising with adversarial learning.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Unsupervised domain adaptation for tof data denoising with adversarial learning

Reference 1

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Observation 424d3e8a-7251-496c-a650-0b3550c31c2b · outbound

This paper cites Unsupervised domain adapta- tion of deep networks for tof depth refinement.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Unsupervised domain adapta- tion of deep networks for tof depth refinement

Reference 2

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Observation a59b0305-3eb5-4709-bd64-e8c744001530 · outbound

This paper cites The fast bilateral solver.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention The fast bilateral solver

Reference 3

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Observation 3d6d472f-c2d5-4b1f-bd33-10f36f378af2 · outbound

This paper cites Signal processing for time-of-flight imaging sensors: An introduction to inverse problems in computational 3-d imaging.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Signal processing for time-of-flight imaging sensors: An introduction to inverse problems in computational 3-d imaging

Reference 4

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Observation da33f391-8a07-4793-b8e4-39899f9672e5 · outbound

This paper cites A configurable and real-time multi-frequency 3d image signal processor for indirect time-of-flight sensors.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention A configurable and real-time multi-frequency 3d image signal processor for indirect time-of-flight sensors

Reference 5

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Observation 5b94da47-bf43-402e-b585-a96ac5aaea34 · outbound

This paper cites Very power efficient neu- ral time-of-flight.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Very power efficient neu- ral time-of-flight

Reference 6

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Observation e1db052d-f24d-43a6-9846-afb48471ed41 · outbound

This paper cites Graph spectral image processing.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Graph spectral image processing

Reference 7

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Observation a980b9d6-abad-4634-af31-52d1b9c6bbee · outbound

This paper cites Interpretable lightweight transformer via unrolling of learned graph smoothness pri- ors.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Interpretable lightweight transformer via unrolling of learned graph smoothness pri- ors

Reference 8

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Observation 4cf74883-e7ef-433e-b731-f10d2cbb1064 · outbound

This paper cites Exploiting dual-correlation for multi-frame time-of- flight denoising.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Exploiting dual-correlation for multi-frame time-of- flight denoising

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:04.074059Z

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Observation 3fc363bd-31fe-4ef2-bb63-de3fc769f2fe · outbound

This paper cites Depthlab: Real-time 3d in- teraction with depth maps for mobile augmented reality.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Depthlab: Real-time 3d in- teraction with depth maps for mobile augmented reality

Reference 10

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Observation 8a492129-830c-426f-a09d-b0221aea83e9 · outbound

This paper cites De- noising of continuous-wave time-of-flight depth images us- ing confidence measures.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention De- noising of continuous-wave time-of-flight depth images us- ing confidence measures

Reference 11

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Observation 636be861-8108-4976-8b4e-53b7aa1c989d · outbound

This paper cites Theoretical and ex- perimental error analysis of continuous-wave time-of-flight range cameras.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Theoretical and ex- perimental error analysis of continuous-wave time-of-flight range cameras

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:03.837535Z

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Observation d882df27-5271-4ccc-860e-db156d2a47c5 · outbound

This paper cites Time-of-flight range measurement in low-sensing environ- ment: Noise analysis and complex-domain non-local denois- ing.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Time-of-flight range measurement in low-sensing environ- ment: Noise analysis and complex-domain non-local denois- ing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:03.713208Z

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Observation 6e594b4e-a40e-4a79-999c-8093a87c5199 · outbound

This paper cites Tackling 3d tof artifacts through learning and the flat dataset.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Tackling 3d tof artifacts through learning and the flat dataset

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:03.568815Z

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Observation 4eae4bac-522f-4780-ab97-9cb0a722a556 · outbound

This paper cites itof2dtof: A robust and flexible representation for data-driven time-of-flight imag- ing.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention itof2dtof: A robust and flexible representation for data-driven time-of-flight imag- ing

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:03.402397Z

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Observation 929e732d-7bd1-4b22-bd93-a6867252e5b3 · outbound

This paper cites Depth map denoising using graph-based transform and group sparsity.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Depth map denoising using graph-based transform and group sparsity

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:03.240182Z

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Observation 97b194a9-f94d-4f7e-827c-c8fb74aec751 · outbound

This paper cites Deep unrolled graph laplacian regularization for robust time-of-flight depth denoising.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Deep unrolled graph laplacian regularization for robust time-of-flight depth denoising

Reference 17

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Observation 804b935d-8608-44da-94cf-471aac70780d · outbound

This paper cites Gradient flow evolution for 3d fusion from a single depth sensor.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Gradient flow evolution for 3d fusion from a single depth sensor

Reference 18

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Observation 8e214828-7053-453e-a327-4665fa22d475 · outbound

This paper cites Evaluating the accuracy of the Azure Kinect and Kinect v2.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Evaluating the accuracy of the Azure Kinect and Kinect v2

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:02.837022Z

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Observation ad78e035-8b9d-4073-b0ec-b4a0fba3ff93 · outbound

This paper cites Temporally consistent online depth estimation in dynamic scenes.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Temporally consistent online depth estimation in dynamic scenes

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:02.723970Z

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Observation 9fe1823b-8cf3-4a74-be8d-a53686efc5a5 · outbound

This paper cites Deeptof: off-the-shelf real-time correction of multipath in- terference in time-of-flight imaging.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Deeptof: off-the-shelf real-time correction of multipath in- terference in time-of-flight imaging

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:02.592961Z

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Observation 9f8fea2f-c01e-4b12-b16e-23f85be59e0f · outbound

This paper cites Learning robust perceptive locomotion for quadrupedal robots in the wild.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Learning robust perceptive locomotion for quadrupedal robots in the wild

Reference 22

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Observation 99e4af42-3b79-4490-8646-77afed9622d4 · outbound

This paper cites Depth video en- hancement based on weighted mode filtering.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Depth video en- hancement based on weighted mode filtering

Reference 23

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Observation 372b9410-1ea8-4c51-bae4-18828d3cf363 · outbound

This paper cites Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing

Reference 24

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Observation 0373fb56-057a-4084-ba96-a87191b7fa67 · outbound

This paper cites Graph signal processing: Overview, challenges, and applications.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Graph signal processing: Overview, challenges, and applications

Reference 25

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Observation b02979d3-6cf5-406f-8dc2-28b2b6dc8dc1 · outbound

This paper cites Graph laplacian regulariza- tion for image denoising: Analysis in the continuous domain.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Graph laplacian regulariza- tion for image denoising: Analysis in the continuous domain

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:02.060355Z

Source-reported events for the cited work

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Observation d2983bbc-cb3a-469f-a048-bd273a325a44 · outbound

This paper cites Graph spectral image restoration.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Graph spectral image restoration

Reference 27

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Observation aab9c0dc-8523-470f-9b90-24117d6ab3af · outbound

This paper cites Automatic differentiation in pytorch.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Automatic differentiation in pytorch

Reference 28

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This paper cites Don’t forget the past: Recurrent depth estimation from monocular video.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Don’t forget the past: Recurrent depth estimation from monocular video

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:01.767572Z

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Observation 65b9fdf1-3ffd-491b-a8db-2d37265294e7 · outbound

This paper cites Depth restoration in under- display time-of-flight imaging.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Depth restoration in under- display time-of-flight imaging

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:01.729814Z

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Observation 76f91970-275c-4b19-bb4a-168d945e1ae2 · outbound

This paper cites U- Net: Convolutional networks for biomedical image segmen- tation.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention U- Net: Convolutional networks for biomedical image segmen- tation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:01.550737Z

Source-reported events for the cited work

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Observation c4917711-0f57-4750-b323-dccc8cfb8c58 · outbound

This paper cites Joint graph-based depth refinement and nor- mal estimation.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Joint graph-based depth refinement and nor- mal estimation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:01.359749Z

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Observation b6f1a525-db8e-4d90-b2fd-6d1862174364 · outbound

This paper cites Radu: Ray-aligned depth update convolutions for tof data denoising.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Radu: Ray-aligned depth update convolutions for tof data denoising

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:01.232645Z

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Observation 2b0df743-608b-4cc2-b12f-a0525997de85 · outbound

This paper cites Deep end-to-end time-of-flight imaging.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Deep end-to-end time-of-flight imaging

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:01.114659Z

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Observation c310d958-b1ad-4e1b-a9ef-c419531b4b62 · outbound

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

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Consistent direct time-of-flight video depth super-resolution

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:01.013470Z

Source-reported events for the cited work

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Observation d3f9a8b7-56f4-4803-8594-8daa330528d6 · outbound

This paper cites libfreenect2: Re- lease 0.2, 2016.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention libfreenect2: Re- lease 0.2, 2016

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:00.884822Z

Source-reported events for the cited work

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Observation 42c1cadb-6f5b-4fa3-86d5-b51994cfee94 · outbound

This paper cites Ddrnet: Depth map denoising and refinement for consumer depth cameras using cascaded cnns.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Ddrnet: Depth map denoising and refinement for consumer depth cameras using cascaded cnns

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:00.786788Z

Source-reported events for the cited work

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Observation 316f47fa-a13a-4300-bbb2-f69dc8a92f83 · outbound

This paper cites Graph-based depth video denoising and event detection for sleep monitoring.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Graph-based depth video denoising and event detection for sleep monitoring

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:00.664678Z

Source-reported events for the cited work

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Observation 09563f16-c802-47f5-ad75-3808c9b7373b · outbound

This paper cites Time-of-flight and structured light depth cameras.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Time-of-flight and structured light depth cameras

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:00.574969Z

Source-reported events for the cited work

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Observation 84193b2f-55b0-4475-8976-9cc5ea9fb2b3 · outbound

This paper cites Deep graph laplacian regularization for robust denoising of real images.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Deep graph laplacian regularization for robust denoising of real images

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:00.432187Z

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 21f32c03-a83b-4830-a109-108f3e417075 · outbound

This paper cites Graph-based depth denoising & dequantization for point cloud enhance- ment.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Graph-based depth denoising & dequantization for point cloud enhance- ment

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:00.283282Z

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 599d093e-70eb-49fb-9339-d31bd2f0be86 · outbound

This paper cites As assumed in Sec.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention As assumed in Sec

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:00.160528Z

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 3cb312b7-fb8d-4c8e-916c-63f5d411d847 · outbound

This paper cites For small time steps ∆t = 1, 2, the performances are similar.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention For small time steps ∆t = 1, 2, the performances are similar

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:48:00.047438Z

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 7678fda2-0565-4275-a928-0b3e72f74732 · outbound

This paper cites an unresolved cited work.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:47:59.903394Z

Source-reported events for the cited work

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Observation 60c95b54-f3a2-438f-896a-215fd4959ab6 · outbound

This paper cites In particular, we demon- strate results on synthetic DVToF dataset in Fig.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention In particular, we demon- strate results on synthetic DVToF dataset in Fig

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:59.806077Z

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 e3086a97-7614-4442-8493-c81547bf194d · outbound

This paper cites Please kindly refer to the supple- mentary video for better temporal visualizations.

Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention Please kindly refer to the supple- mentary video for better temporal visualizations

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:47:59.689793Z

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.