Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images | Paper Citation Record

Observation 303206b1-584b-4483-8eca-5e1dc90e1e43 · outbound

This paper cites Sscnav: Confidence-aware semantic scene completion for visual semantic navigation,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Sscnav: Confidence-aware semantic scene completion for visual semantic navigation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.923946Z

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Observation 873d5b2c-de1e-453d-89a0-c7759339e460 · outbound

This paper cites Embodiedscan: A holistic multi-modal 3d perception suite towards embodied ai,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Embodiedscan: A holistic multi-modal 3d perception suite towards embodied ai,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.908234Z

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Observation 25a54b77-c06e-4a5b-9556-24eee6543d98 · outbound

This paper cites Stmicroelectronics: Time-of-flight (tof) 8x8 multizone ranging sensor with wide field of view.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Stmicroelectronics: Time-of-flight (tof) 8x8 multizone ranging sensor with wide field of view

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.892514Z

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Observation 81acbd67-8c0f-4c2c-992f-070f5f9cb995 · outbound

This paper cites Deltar: Depth estimation from a light-weight tof sensor and rgb image,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Deltar: Depth estimation from a light-weight tof sensor and rgb image,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.876391Z

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Observation cb2944e1-7666-4120-964b-7a1829e9ec9d · outbound

This paper cites Multi-modal neural radiance field for monocular dense slam with a light-weight tof sensor,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Multi-modal neural radiance field for monocular dense slam with a light-weight tof sensor,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.859945Z

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Observation 64397503-d3a0-4423-94e5-8c08fb1cfe3c · outbound

This paper cites Sgnet: Structure guided network via gradient-frequency awareness for depth map super-resolution,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Sgnet: Structure guided network via gradient-frequency awareness for depth map super-resolution,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.571120Z

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Observation d4477a58-eb21-4800-a925-477c46a0ff8d · outbound

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

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Towards fast and accurate real-world depth super-resolution: Benchmark dataset and baseline,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.832065Z

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Observation 84b3f076-84f2-4771-a7f5-217a3f227831 · outbound

This paper cites Non-local spatial propagation network for depth completion,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Non-local spatial propagation network for depth completion,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.815461Z

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Observation a91004d2-397a-4cd2-a1c8-08f448b97361 · outbound

This paper cites Completionformer: Depth completion with convolutions and vision transformers,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Completionformer: Depth completion with convolutions and vision transformers,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.797563Z

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Observation 17247782-50fc-4fe0-a204-0d5d65a1ca7c · outbound

This paper cites Digging into self-supervised monocular depth estimation,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Digging into self-supervised monocular depth estimation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.592650Z

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Observation b7bafe2c-cd4e-4f51-9222-e7f06fda0ba3 · outbound

This paper cites Self-supervised sparse- to-dense: Self-supervised depth completion from lidar and monocular camera,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Self-supervised sparse- to-dense: Self-supervised depth completion from lidar and monocular camera,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.648172Z

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Observation 5e01a87c-b3c8-4392-823f-28efcdfe3b82 · outbound

This paper cites Depth completion towards different sensor configurations via relative depth map estimation and scale re- covery,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Depth completion towards different sensor configurations via relative depth map estimation and scale re- covery,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.629791Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 551b545c-004e-4ab1-a371-8bab81f7dfbc · outbound

This paper cites Plnet: Plane and line priors for unsupervised indoor depth estimation,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Plnet: Plane and line priors for unsupervised indoor depth estimation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.612797Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 864f76d3-3114-4ba1-a2d3-2a4656a7b222 · outbound

This paper cites Guided image filtering,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Guided image filtering,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.596926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99452b37-b382-45bb-95fd-939fe9d993cf · outbound

This paper cites Deep ordinal regression network for monocular depth estimation,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Deep ordinal regression network for monocular depth estimation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.579850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 34f15b42-6817-4476-9d2c-696f6e2ee3ba · outbound

This paper cites Unsupervised cnn for single view depth estimation: Geometry to the rescue,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Unsupervised cnn for single view depth estimation: Geometry to the rescue,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.563873Z

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Observation 3d5ffa2d-7d1a-4544-80fb-cdab3227dad4 · outbound

This paper cites Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.626270Z

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Observation 006e82f8-e77f-462d-a00e-2f7465e84475 · outbound

This paper cites Unsupervised scale-consistent depth and ego-motion learning from monocular video,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Unsupervised scale-consistent depth and ego-motion learning from monocular video,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.631479Z

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Observation eba78485-7a76-4b86-a875-951e2765341f · outbound

This paper cites Unsupervised monocular depth perception: Focusing on moving objects,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Unsupervised monocular depth perception: Focusing on moving objects,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.536654Z

Source-reported events for the cited work

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Observation 8b4d3cdc-553b-475e-a429-f7c09dc87293 · outbound

This paper cites Depth prediction without the sensors: Leveraging structure for unsupervised learning from monocular videos,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Depth prediction without the sensors: Leveraging structure for unsupervised learning from monocular videos,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.521709Z

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Observation 1c1aafce-6b08-446b-9a31-105956d80f7a · outbound

This paper cites Self-supervised surround-view depth estimation with volumetric feature fusion,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Self-supervised surround-view depth estimation with volumetric feature fusion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.505013Z

Source-reported events for the cited work

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Observation 99ef4f30-4d80-454a-bc35-bdf5ba0b531b · outbound

This paper cites Towards Cross-View-Consistent Self-Supervised Surround Depth Estimation.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Towards Cross-View-Consistent Self-Supervised Surround Depth Estimation

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:06:01.020793Z

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Observation ea5f88dd-669b-4e41-bd1f-2fa034490450 · outbound

This paper cites Surrounddepth: Entangling surrounding views for self- supervised multi-camera depth estimation,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Surrounddepth: Entangling surrounding views for self- supervised multi-camera depth estimation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.489503Z

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Observation a4a78eda-6d5f-4b9f-8f22-739212e944c0 · outbound

This paper cites Exploring efficiency of vision transform- ers for self-supervised monocular depth estimation,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Exploring efficiency of vision transform- ers for self-supervised monocular depth estimation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.473536Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2d668cb2-3052-4919-95b4-7ebdcc8da443 · outbound

This paper cites Single image depth prediction with wavelet decom- position,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Single image depth prediction with wavelet decom- position,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.456196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 882474bb-1f8c-4693-bef9-1641f5e25b61 · outbound

This paper cites Moving indoor: Un- supervised video depth learning in challenging environments,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Moving indoor: Un- supervised video depth learning in challenging environments,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.439690Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2caaf6b1-b3b7-4e67-82ef-5fac3b4526e9 · outbound

This paper cites P 2 net: Patch-match and plane- regularization for unsupervised indoor depth estimation,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images P 2 net: Patch-match and plane- regularization for unsupervised indoor depth estimation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.423120Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7e4c52e6-e877-43df-8330-03bfe656a0d2 · outbound

This paper cites Auto-rectify network for unsupervised indoor depth estimation,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Auto-rectify network for unsupervised indoor depth estimation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.405390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ef7d684-3791-4e5c-b0be-a42620c209b7 · outbound

This paper cites Gasmono: Geometry-aided self-supervised monocular depth estima- tion for indoor scenes,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Gasmono: Geometry-aided self-supervised monocular depth estima- tion for indoor scenes,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.387765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f626c2c-6191-4616-9e08-9b8f9c2e3acb · outbound

This paper cites Unsupervised depth com- pletion from visual inertial odometry,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Unsupervised depth com- pletion from visual inertial odometry,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.370764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2a5c77d5-2d66-436f-b20f-52cccf2f7bc8 · outbound

This paper cites Unsupervised depth completion with cali- brated backprojection layers,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Unsupervised depth completion with cali- brated backprojection layers,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.355991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 211bb879-16af-4185-93c6-049c75ffc631 · outbound

This paper cites Selfdeco: Self-supervised monocular depth completion in challenging indoor environments,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Selfdeco: Self-supervised monocular depth completion in challenging indoor environments,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.340248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0029ebe2-89c2-42c8-a8a7-71d412c16aee · outbound

This paper cites Sparsity invariant cnns,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Sparsity invariant cnns,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.323074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 766645b7-0deb-40e5-8764-83c66058edd4 · outbound

This paper cites Pixel-adaptive convolutional neural networks,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Pixel-adaptive convolutional neural networks,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.718116Z

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Observation 9a817fb8-3153-4147-b933-019e50eeec62 · outbound

This paper cites Monitored distillation for positive congruent depth completion,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Monitored distillation for positive congruent depth completion,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.294451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a81ec7a8-cd6a-486d-a8ba-d9691d5e9392 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.728593Z

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Observation fc71cb6f-fb53-447f-a5d5-29b9acb41e28 · outbound

This paper cites Deep residual learning for image recognition,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Deep residual learning for image recognition,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.733757Z

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Observation 825b532a-2c7b-4a89-8f9d-945dc51643b5 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Imagenet: A large-scale hierarchical image database,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.738706Z

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Unavailable: canonical work link unavailable.

Observation 9abae135-7d5d-4ce1-9403-e1606799d6d0 · outbound

This paper cites Spatial transformer networks,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Spatial transformer networks,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.743416Z

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Observation f0e1f504-262d-4f94-928b-6fd0d2560d3d · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Image quality assessment: from error visibility to structural similarity,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.748294Z

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Observation abfcc7d4-dc13-4731-badb-2346aa2bc24d · outbound

This paper cites Learning depth from monocular videos using direct methods,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Learning depth from monocular videos using direct methods,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.221025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 56eb2ec9-017f-4eeb-89fb-7df979642906 · outbound

This paper cites A class of wasserstein metrics for probability distributions.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images A class of wasserstein metrics for probability distributions

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.203625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bf0f1a13-6d6b-4352-8ee0-9905641801ce · outbound

This paper cites Submanifold Sparse Convolutional Networks.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Submanifold Sparse Convolutional Networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.763160Z

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Observation 1abafa49-2b17-4b48-a6df-1ae45577154b · outbound

This paper cites Spconv: Spatially sparse convolution library,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Spconv: Spatially sparse convolution library,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.769224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f9dae8b-4c43-4f46-b781-8c3bdfad9467 · outbound

This paper cites Clustering by passing messages between data points,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Clustering by passing messages between data points,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.176225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 482247eb-7b6b-4aef-b6c2-195b0addb9ab · outbound

This paper cites Adaptive affinity fields for semantic segmentation,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Adaptive affinity fields for semantic segmentation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.159564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bdc3687e-bbe0-494a-8178-613947d1462f · outbound

This paper cites Attention is all you need,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Attention is all you need,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.786638Z

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Observation d46aedf0-0d32-45a2-bf84-b428ec4ad8f9 · outbound

This paper cites Indoor seg- mentation and support inference from rgbd images,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Indoor seg- mentation and support inference from rgbd images,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.792458Z

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Observation 5754ca80-9038-462e-a55e-2f72d4e3c638 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Pytorch: An imperative style, high-performance deep learning library,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.797601Z

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Observation 014f7e46-49e3-4de5-9060-e8e6e31e13d2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Adam: A Method for Stochastic Optimization

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.803113Z

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Unavailable: canonical work link unavailable.

Observation 28dafc58-2954-4fee-a2f2-b61cc6cc935d · outbound

This paper cites Adabins: Depth estimation using adaptive bins,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Adabins: Depth estimation using adaptive bins,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.809037Z

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Unavailable: canonical work link unavailable.

Observation f8d3cd73-e1f7-4efc-bf0a-acd2850462ff · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Scannet: Richly-annotated 3d reconstructions of indoor scenes,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.814894Z

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Observation 6c068355-b955-4a45-837b-8d086e0a5e1a · outbound

This paper cites Monoindoor: Towards good practice of self-supervised monocular depth estimation for indoor environ- ments,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Monoindoor: Towards good practice of self-supervised monocular depth estimation for indoor environ- ments,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.086543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f98e8dc3-a453-4cf6-84d1-fd006bf1c9d3 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Depth anything: Unleashing the power of large-scale unlabeled data,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.826208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00fb48df-6294-4fcf-97e9-0e855d740025 · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Repurposing diffusion-based image generators for monocular depth estimation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:06:01.054325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6391a463-6ea5-48d6-950e-26daab30b213 · outbound

This paper cites Prompting depth anything for 4k resolution accurate metric depth estimation,.

Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular Images Prompting depth anything for 4k resolution accurate metric depth estimation,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T20:06:00.836853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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