Paper Citation Record · LEDGER

Self-Supervised Deep Depth Denoising

As of 15 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:1909.01193.

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

pith.paper-citation-record.v1
1909.01193 v2

Coverage vector

measured 54 of 54 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

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External citation measurements

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Outbound references

Observation cf876301-7ad7-4f70-bfb2-852febb8bc01 · outbound

This paper cites Deep learning for multi-path error removal in ToF sensors.

Self-Supervised Deep Depth Denoising Deep learning for multi-path error removal in ToF sensors

Reference 1

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Observation d081fadf-6f19-493d-ba61-0003f0323cb8 · outbound

This paper cites Alexiadis, Nikolaos Zioulis, Dimitrios Zarpalas, and Petros Daras.

Self-Supervised Deep Depth Denoising Alexiadis, Nikolaos Zioulis, Dimitrios Zarpalas, and Petros Daras

Reference 2

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Observation 2020408c-3ca1-4f37-92b2-0e2ec0230106 · outbound

This paper cites Barron and Jitendra Malik.

Self-Supervised Deep Depth Denoising Barron and Jitendra Malik

Reference 3

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Observation a8e6c1f2-e766-4932-8845-b02746c8f938 · outbound

This paper cites Ro- bust intrinsic and extrinsic calibration of RGB-D cameras.

Self-Supervised Deep Depth Denoising Ro- bust intrinsic and extrinsic calibration of RGB-D cameras

Reference 4

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Observation 1adfbdb7-d592-435b-9e33-284cfcee181f · outbound

This paper cites Noise2Self: Blind denoising by self-supervision.

Self-Supervised Deep Depth Denoising Noise2Self: Blind denoising by self-supervision

Reference 5

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Observation 985eb944-b8e7-4ba6-9bdb-2ac496b742aa · outbound

This paper cites Robust optimization for deep regression.

Self-Supervised Deep Depth Denoising Robust optimization for deep regression

Reference 6

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Observation d4c75a88-3bfe-4236-8e3a-d47344371357 · outbound

This paper cites Fast MRF optimization with application to depth reconstruction.

Self-Supervised Deep Depth Denoising Fast MRF optimization with application to depth reconstruction

Reference 7

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Observation 063a105c-ae5a-4ea2-8a82-af3e1f7954f6 · outbound

This paper cites LiDAR-Video driving dataset: Learning driving policies effectively.

Self-Supervised Deep Depth Denoising LiDAR-Video driving dataset: Learning driving policies effectively

Reference 8

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Observation 5a76b510-3a80-4350-9e29-85e75763cccd · outbound

This paper cites Fast and accurate deep network learning by Exponential Linear Units (ELUs).

Self-Supervised Deep Depth Denoising Fast and accurate deep network learning by Exponential Linear Units (ELUs)

Reference 9

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Observation cdab1640-4d4b-46ad-ad63-624d0e826f2a · outbound

This paper cites BundleFusion.

Self-Supervised Deep Depth Denoising BundleFusion

Reference 10

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Observation b1a92937-bd48-466b-9742-b10ecfd595ef · outbound

This paper cites Understanding the dif- ﬁculty of training deep feedforward neural networks.

Self-Supervised Deep Depth Denoising Understanding the dif- ﬁculty of training deep feedforward neural networks

Reference 11

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Observation 395b9b1c-babd-4196-8a1d-cce193353b6e · outbound

This paper cites Learning dynamic guidance for depth image enhancement.

Self-Supervised Deep Depth Denoising Learning dynamic guidance for depth image enhancement

Reference 12

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Observation d2f6a0cc-a2d0-4ba9-a63f-af52e1ea9720 · outbound

This paper cites Real-time geometry, albedo, and motion re- construction using a single RGB-D camera.

Self-Supervised Deep Depth Denoising Real-time geometry, albedo, and motion re- construction using a single RGB-D camera

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:55.074141Z

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Observation 3925291d-1cc5-4972-90f7-3004d43a1a9c · outbound

This paper cites Tackling 3D ToF artifacts through learning and the FLAT dataset.

Self-Supervised Deep Depth Denoising Tackling 3D ToF artifacts through learning and the FLAT dataset

Reference 14

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Observation bc11f384-cc2a-4755-beb6-1574f90f0672 · outbound

This paper cites Robust image ﬁltering using joint static and dynamic guidance.

Self-Supervised Deep Depth Denoising Robust image ﬁltering using joint static and dynamic guidance

Reference 15

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Observation 2b276620-9083-46be-b108-f29ee3f1ef89 · outbound

This paper cites High qual- ity shape from a single RGB-D image under uncalibrated natural illumination.

Self-Supervised Deep Depth Denoising High qual- ity shape from a single RGB-D image under uncalibrated natural illumination

Reference 16

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Observation 428787d7-4862-47cf-be97-ee6f39d13535 · outbound

This paper cites Identity mappings in deep residual networks.

Self-Supervised Deep Depth Denoising Identity mappings in deep residual networks

Reference 17

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Observation 2b856b40-5eb1-4f77-8b28-efd2bae9475a · outbound

This paper cites Joint depth and color camera calibration with distortion correc- tion.

Self-Supervised Deep Depth Denoising Joint depth and color camera calibration with distortion correc- tion

Reference 18

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Observation a9908039-2031-4fb8-b257-659749e6ebdb · outbound

This paper cites Spatial transformer networks.

Self-Supervised Deep Depth Denoising Spatial transformer networks

Reference 19

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Observation d706ccfd-813c-43f6-86ff-396720573486 · outbound

This paper cites Reconstruction-based pair- wise depth dataset for depth image enhancement using CNN.

Self-Supervised Deep Depth Denoising Reconstruction-based pair- wise depth dataset for depth image enhancement using CNN

Reference 20

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Observation a24c44b5-6d22-436c-b59c-830329f63abb · outbound

This paper cites Screened poisson surface reconstruction.

Self-Supervised Deep Depth Denoising Screened poisson surface reconstruction

Reference 21

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Observation 50ba8106-8dd8-41d9-b54c-b571e09190b5 · outbound

This paper cites Intel (R) realsense (TM) stereoscopic depth cameras.

Self-Supervised Deep Depth Denoising Intel (R) realsense (TM) stereoscopic depth cameras

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.932183Z

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Observation fabbafbd-4a59-481e-816b-f40e37900e8a · outbound

This paper cites Kingma and Jimmy Ba.

Self-Supervised Deep Depth Denoising Kingma and Jimmy Ba

Reference 23

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Observation e2d71dcf-faf4-4090-8e85-b8424a1f2095 · outbound

This paper cites Cohen, Dani Lischinski, and Matt Uyttendaele.

Self-Supervised Deep Depth Denoising Cohen, Dani Lischinski, and Matt Uyttendaele

Reference 24

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Observation a5396d53-f2e3-4cc2-aed0-33389193b3ed · outbound

This paper cites Noise2V oid - Learning denoising from single noisy images.

Self-Supervised Deep Depth Denoising Noise2V oid - Learning denoising from single noisy images

Reference 25

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Observation 03ef7ac3-ca32-4320-8c56-7c5544efbfd8 · outbound

This paper cites Data- driven depth map reﬁnement via multi-scale sparse represen- tation.

Self-Supervised Deep Depth Denoising Data- driven depth map reﬁnement via multi-scale sparse represen- tation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.875133Z

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Observation 4de16d44-8f77-486e-b7de-60110de80e0d · outbound

This paper cites Deeper depth prediction with fully convolutional residual networks.

Self-Supervised Deep Depth Denoising Deeper depth prediction with fully convolutional residual networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.858221Z

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Observation 06d28247-6fcd-4952-8573-1747b5d07b06 · outbound

This paper cites The adaptive BerHu penalty in robust regression.

Self-Supervised Deep Depth Denoising The adaptive BerHu penalty in robust regression

Reference 28

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Observation f9ed853f-1756-44f6-9e5b-be1f875b6cc1 · outbound

This paper cites InteriorNet: Mega-scale multi- sensor photo-realistic indoor scenes dataset.

Self-Supervised Deep Depth Denoising InteriorNet: Mega-scale multi- sensor photo-realistic indoor scenes dataset

Reference 29

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Observation 2ed4d9e4-190e-4580-973e-ec20c45abf5f · outbound

This paper cites Joint image ﬁltering with deep convolutional net- works.

Self-Supervised Deep Depth Denoising Joint image ﬁltering with deep convolutional net- works

Reference 30

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Observation 1650fad4-8257-4937-b803-562a8e516b4d · outbound

This paper cites Reda, Kevin J.

Self-Supervised Deep Depth Denoising Reda, Kevin J

Reference 31

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Observation 1988790b-806c-48d9-826a-97567e47c9a5 · outbound

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

Self-Supervised Deep Depth Denoising Depth enhancement via low-rank matrix completion

Reference 32

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Observation 8458630d-8346-404f-9a58-b57a40edbc80 · outbound

This paper cites Kim, Xin Tong, and Diego Gutierrez.

Self-Supervised Deep Depth Denoising Kim, Xin Tong, and Diego Gutierrez

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.772077Z

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Observation a20a57e1-e8b2-4fa8-8f0f-3e16c3a96543 · outbound

This paper cites Plane ﬁtting and depth variance based upsampling for noisy depth map from 3D-ToF cameras in real-time.

Self-Supervised Deep Depth Denoising Plane ﬁtting and depth variance based upsampling for noisy depth map from 3D-ToF cameras in real-time

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.754604Z

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Observation 72b8eb7b-b0ae-4128-b3eb-5f762dbbff97 · outbound

This paper cites Dictionary learning from incomplete data for efﬁcient image restoration.

Self-Supervised Deep Depth Denoising Dictionary learning from incomplete data for efﬁcient image restoration

Reference 35

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Observation 1477bd47-88bc-4663-9785-c8f09bbc60c5 · outbound

This paper cites Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J.

Self-Supervised Deep Depth Denoising Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J

Reference 36

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Observation 97fcfc1a-754e-469f-b8d8-e17d384256cc · outbound

This paper cites Bruckstein.

Self-Supervised Deep Depth Denoising Bruckstein

Reference 37

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Observation e8359fec-0192-4eba-854b-8f7682f34fe3 · outbound

This paper cites Markerless structure-based multi-sensor calibration for free viewpoint video capture.

Self-Supervised Deep Depth Denoising Markerless structure-based multi-sensor calibration for free viewpoint video capture

Reference 38

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This paper cites Automatic differentiation in PyTorch.

Self-Supervised Deep Depth Denoising Automatic differentiation in PyTorch

Reference 39

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

Self-Supervised Deep Depth Denoising U- Net: Convolutional networks for biomedical image segmen- tation

Reference 40

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Observation 96559a6a-1c7f-4322-b217-85b23934d784 · outbound

This paper cites The xbox one system on a chip and Kinect sensor.

Self-Supervised Deep Depth Denoising The xbox one system on a chip and Kinect sensor

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.643032Z

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Self-Supervised Deep Depth Denoising Unresolved cited work

Reference 42

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Observation e4ffddd2-b57d-4b43-b0ad-348357f93a16 · outbound

This paper cites Mutual- structure for joint ﬁltering.

Self-Supervised Deep Depth Denoising Mutual- structure for joint ﬁltering

Reference 43

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Observation 46a99b37-e791-4cba-9db7-0f4ac22e57e0 · outbound

This paper cites A low-cost, ﬂexible and portable volumetric capturing system.

Self-Supervised Deep Depth Denoising A low-cost, ﬂexible and portable volumetric capturing system

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.591778Z

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Self-Supervised Deep Depth Denoising Unresolved cited work

Reference 45

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Observation 20359cba-ff70-4085-9612-5129af1cd719 · outbound

This paper cites A precision analysis of camera distortion models.

Self-Supervised Deep Depth Denoising A precision analysis of camera distortion models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.559136Z

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Observation 95109727-3229-4ac6-be6a-82a19a7ecac7 · outbound

This paper cites CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction.

Self-Supervised Deep Depth Denoising CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.543003Z

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Observation 84d43a2b-e1a5-4dd9-be37-4d323228237a · outbound

This paper cites Bilateral ﬁltering for gray and color images.

Self-Supervised Deep Depth Denoising Bilateral ﬁltering for gray and color images

Reference 48

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Observation 570abb7f-d3ec-4163-b0c3-26b6db153e98 · outbound

This paper cites Layer-structured 3D scene inference via view synthesis.

Self-Supervised Deep Depth Denoising Layer-structured 3D scene inference via view synthesis

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.513346Z

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Observation 4f977ff9-8bc3-4d63-a8dc-fd7efdaec664 · outbound

This paper cites Real- time shading-based reﬁnement for consumer depth cameras.

Self-Supervised Deep Depth Denoising Real- time shading-based reﬁnement for consumer depth cameras

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.490731Z

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Observation e425562b-fddf-48ce-af51-5a761ca9e098 · outbound

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

Self-Supervised Deep Depth Denoising DDRNet: Depth map denoising and reﬁnement for consumer depth cameras using cascaded CNNs

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.470344Z

Source-reported events for the cited work

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Observation d9052ff3-8334-482a-9ac3-0a97e60cf1c2 · outbound

This paper cites Shading-based shape reﬁnement of RGB-D images.

Self-Supervised Deep Depth Denoising Shading-based shape reﬁnement of RGB-D images

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.454195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2d9f3273-2375-41bf-b5b6-4f1a082eb216 · outbound

This paper cites Rolling guidance ﬁlter.

Self-Supervised Deep Depth Denoising Rolling guidance ﬁlter

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.437081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e3936770-c3d7-4f2a-bedb-3d291f383952 · outbound

This paper cites spraying.

Self-Supervised Deep Depth Denoising spraying

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:28:54.419524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.