Paper Citation Record · LEDGER

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching

As of 8 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 2 inbound Pith citation observations for arXiv:2505.14414.

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

pith.paper-citation-record.v1
2505.14414 v2

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:13.461313Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:48:44.922501Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:48:45.629059Z

Reference resolution

68 of 68 outbound references displayed

verified exact0
verified fuzzy59
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7d49f88-2bfd-401d-8484-2951e24143c1 · outbound

This paper cites Reversing the cycle: Self-supervised deep stereo through enhanced monocular distillation.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Reversing the cycle: Self-supervised deep stereo through enhanced monocular distillation

Reference 1

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Observation b390d8cf-c798-439f-9e0f-af78e51f3f5b · outbound

This paper cites Multi- view depth estimation by fusing single-view depth prob- ability with multi-view geometry.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Multi- view depth estimation by fusing single-view depth prob- ability with multi-view geometry

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:26.178982Z

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Observation bae24db3-ff9b-4272-8582-b41377514558 · outbound

This paper cites Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail

Reference 3

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Observation 1dac863f-8fad-4c10-80aa-efc4c3ecea55 · outbound

This paper cites Matching-space stereo networks for cross-domain generalization.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Matching-space stereo networks for cross-domain generalization

Reference 4

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Observation 55aee006-4fec-4dec-973e-ec60a23fb3aa · outbound

This paper cites Domain generalized stereo matching via hierarchical visual transformation.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Domain generalized stereo matching via hierarchical visual transformation

Reference 5

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Observation dfa721c1-b364-4d70-9fd7-1d9673acb184 · outbound

This paper cites Revealing the reciprocal relations between self- supervised stereo and monocular depth estimation.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Revealing the reciprocal relations between self- supervised stereo and monocular depth estimation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:25.620199Z

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Observation 30d2664c-4a83-48c7-929f-a319296f0a04 · outbound

This paper cites Mocha-stereo: Motif channel attention network for stereo matching.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Mocha-stereo: Motif channel attention network for stereo matching

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:25.409951Z

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Observation fe081fb2-5f5c-4650-b4ff-4ed74675c6bf · outbound

This paper cites Monster: Marry monodepth to stereo unleashes power.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Monster: Marry monodepth to stereo unleashes power

Reference 8

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Observation c5da2f15-8ed0-4720-9072-f162fc67f614 · outbound

This paper cites Itsa: An information-theoretic approach to automatic shortcut avoid- ance and domain generalization in stereo matching networks.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Itsa: An information-theoretic approach to automatic shortcut avoid- ance and domain generalization in stereo matching networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:25.240493Z

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Observation 49a06419-a742-437c-8404-765d2f978257 · outbound

This paper cites Perceiving layout and knowing distances: The integration, relative potency, and contextual use of different information about depth.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Perceiving layout and knowing distances: The integration, relative potency, and contextual use of different information about depth

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:24.996896Z

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Observation 85f77247-09f0-4903-b527-f8e0fae24916 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:24.770187Z

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Observation b0a4bfd9-6ec6-4c3a-aa9b-9afdf8396f89 · outbound

This paper cites Neural markov random field for stereo matching.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Neural markov random field for stereo matching

Reference 12

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Observation 9c85eaaa-84d6-4b3e-b6f7-410b2e0a38af · outbound

This paper cites On calibration of modern neural networks.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching On calibration of modern neural networks

Reference 13

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Observation b546772e-1981-4659-9c17-c82a691f7204 · outbound

This paper cites Context-enhanced stereo transformer.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Context-enhanced stereo transformer

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:24.192920Z

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Observation abb4db1a-7cbf-438c-a756-f0f772e43f3e · outbound

This paper cites Uncertainty guided adaptive warping for robust and efficient stereo matching.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Uncertainty guided adaptive warping for robust and efficient stereo matching

Reference 15

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Observation d5748c57-6dd9-4e75-953a-edd51808f361 · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:23.818206Z

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Observation c51e9d11-2c3c-4738-b822-1c96ab0d5b8c · outbound

This paper cites Pointfix: Learning to fix domain bias for robust online stereo adaptation.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Pointfix: Learning to fix domain bias for robust online stereo adaptation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:23.485318Z

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Observation 8488f709-0939-48a8-ab08-1574e72c554f · outbound

This paper cites Ground- ing image matching in 3d with mast3r, 2024.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Ground- ing image matching in 3d with mast3r, 2024

Reference 18

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Observation 3875fb0c-2b33-45bf-8278-96c198490ff9 · outbound

This paper cites Los: Local structure-guided stereo matching.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Los: Local structure-guided stereo matching

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:23.183454Z

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Observation 86a588cf-85c6-4bc7-a81b-ca6f79e075c9 · outbound

This paper cites Learning to fuse monocular and multi-view cues for multi- frame depth estimation in dynamic scenes.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Learning to fuse monocular and multi-view cues for multi- frame depth estimation in dynamic scenes

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:22.786153Z

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Observation 815c3882-f05d-48ea-9c72-3f07170046cf · outbound

This paper cites Revisiting stereo depth estimation from a sequence- to-sequence perspective with transformers.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Revisiting stereo depth estimation from a sequence- to-sequence perspective with transformers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:22.348435Z

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Observation 454cbea4-f451-4ad9-b3a2-c412cf23032d · outbound

This paper cites Raft-stereo: Multilevel recurrent field transforms for stereo matching.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Raft-stereo: Multilevel recurrent field transforms for stereo matching

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:21.966019Z

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Observation ea86fe71-fab3-4f92-adfc-236588e515c6 · outbound

This paper cites Graftnet: Towards domain generalized stereo matching with a broad-spectrum and task-oriented feature.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Graftnet: Towards domain generalized stereo matching with a broad-spectrum and task-oriented feature

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:21.444348Z

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Observation fe65e687-1d64-49f7-a027-a7179889bf16 · outbound

This paper cites Multi-label stereo matching for transparent scene depth estimation.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Multi-label stereo matching for transparent scene depth estimation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:21.193436Z

Source-reported events for the cited work

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Observation 2a28a498-0df8-48f8-82ca-38d9d3243a47 · outbound

This paper cites Elfnet: Evidential local-global fusion for stereo matching.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Elfnet: Evidential local-global fusion for stereo matching

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:21.008383Z

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Observation acecd9c6-38a9-4836-aa4e-0aa7a7e3866c · outbound

This paper cites Fu- sion of stereo and still monocular depth estimates in a self- supervised learning context.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Fu- sion of stereo and still monocular depth estimates in a self- supervised learning context

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:20.857467Z

Source-reported events for the cited work

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Observation 3abac942-8f0d-44ba-9eb1-b5c766aebec1 · outbound

This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:20.707385Z

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Observation 33887c6e-0de1-481b-8cf4-270c7fe22f75 · outbound

This paper cites Joint 3d estimation of vehicles and scene flow.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Joint 3d estimation of vehicles and scene flow

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:20.581209Z

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Observation fb9cddb7-0494-44e4-83d2-afbfb0a5391f · outbound

This paper cites Ob- ject scene flow.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Ob- ject scene flow

Reference 29

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Observation 1ec26c7c-8bce-4cd5-93a4-6dd19a1438b0 · outbound

This paper cites Per- formance evaluation of texture measures with classification based on kullback discrimination of distributions.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Per- formance evaluation of texture measures with classification based on kullback discrimination of distributions

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:20.316355Z

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Observation 62a44116-4fe0-47b5-adf9-8d1d24902fbe · outbound

This paper cites Multires- olution gray-scale and rotation invariant texture classification with local binary patterns.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Multires- olution gray-scale and rotation invariant texture classification with local binary patterns

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:20.187984Z

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Observation 2115a316-02fb-4361-aa31-7f4fd61a626c · outbound

This paper cites Can you trust your model’s uncertainty? evaluating predictive uncertainty under dataset shift.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Can you trust your model’s uncertainty? evaluating predictive uncertainty under dataset shift

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:20.065437Z

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Observation b847a77e-c829-44a1-a0d7-d7e5f8f928e0 · outbound

This paper cites Open chal- lenges in deep stereo: the booster dataset.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Open chal- lenges in deep stereo: the booster dataset

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:19.915696Z

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Observation 7ab1d0fb-8ed9-4e7b-b7b1-a7ad25fd00ed · outbound

This paper cites Vi- sion transformers for dense prediction.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Vi- sion transformers for dense prediction

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:19.765659Z

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Observation e7ca1a29-b765-49de-9c7f-c4075b2207f1 · outbound

This paper cites Masked representation learning for domain generalized stereo matching.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Masked representation learning for domain generalized stereo matching

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:19.607307Z

Source-reported events for the cited work

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Observation 55b79454-00f0-42eb-b022-37c729b0da18 · outbound

This paper cites The perception of egocentric distances in virtual environments-a review.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching The perception of egocentric distances in virtual environments-a review

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:19.419961Z

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Observation a8d7b68e-f417-49a7-b614-9e2d2e9ffe25 · outbound

This paper cites Depth estimation using monocular and stereo cues.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Depth estimation using monocular and stereo cues

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:19.219025Z

Source-reported events for the cited work

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Observation 5a5389b7-8a57-4538-9dc5-4ab06bb538fb · outbound

This paper cites High-resolution stereo datasets with subpixel-accurate ground truth.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching High-resolution stereo datasets with subpixel-accurate ground truth

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:19.039545Z

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Observation 294a7c01-2259-4318-8873-714e3f636d70 · outbound

This paper cites A multi-view stereo benchmark with high- resolution images and multi-camera videos.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching A multi-view stereo benchmark with high- resolution images and multi-camera videos

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:18.763431Z

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Observation a7c001a6-20f6-44d3-9e26-3819613cd0fd · outbound

This paper cites Pcw-net: Pyramid combination and warping cost volume for stereo matching.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Pcw-net: Pyramid combination and warping cost volume for stereo matching

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:18.608259Z

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Observation 94616cf7-8ed2-4016-8f8d-2685659e67d3 · outbound

This paper cites Adastereo: An efficient domain-adaptive stereo matching approach.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Adastereo: An efficient domain-adaptive stereo matching approach

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:18.450842Z

Source-reported events for the cited work

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Observation 350b8b56-6129-4ae2-b5aa-20392a1baf21 · outbound

This paper cites Learn- ing to adapt for stereo.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Learn- ing to adapt for stereo

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:18.273600Z

Source-reported events for the cited work

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Observation 2f24f611-2fa1-46d3-a037-941477fb434b · outbound

This paper cites Nerf-supervised deep stereo.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Nerf-supervised deep stereo

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:18.074987Z

Source-reported events for the cited work

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Observation a9245f63-fead-46ea-86f9-c5b4dc363103 · outbound

This paper cites Gated stereo: Joint depth estimation from gated and wide-baseline active stereo cues.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Gated stereo: Joint depth estimation from gated and wide-baseline active stereo cues

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:17.837426Z

Source-reported events for the cited work

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Observation 5b523e99-020b-4866-96dd-f15cf4327f65 · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Dust3r: Geometric 3d vi- sion made easy

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:17.615282Z

Source-reported events for the cited work

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Observation 7465b14c-8da9-48c7-9886-eeca0ced7e29 · outbound

This paper cites Selective-stereo: Adaptive frequency information selection for stereo matching.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Selective-stereo: Adaptive frequency information selection for stereo matching

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:17.404826Z

Source-reported events for the cited work

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Observation 1ae8327a-edf6-4f9a-8949-fafa809a96aa · outbound

This paper cites Flickr1024: A large-scale dataset for stereo image super-resolution.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Flickr1024: A large-scale dataset for stereo image super-resolution

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:17.231259Z

Source-reported events for the cited work

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Observation 3592bf6d-e090-4c66-81b5-14c087a5002b · outbound

This paper cites The human brain in depth: how we see in 3d.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching The human brain in depth: how we see in 3d

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:17.037032Z

Source-reported events for the cited work

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Observation e48e3458-7bb4-4c2e-a023-ad8ba963ec97 · outbound

This paper cites 3d shape perception from combined depth cues in human visual cortex.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching 3d shape perception from combined depth cues in human visual cortex

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:16.805970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 466bfa8f-e00c-4d2c-b321-5c0033eaf664 · outbound

This paper cites FoundationStereo: Zero-Shot Stereo Matching.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching FoundationStereo: Zero-Shot Stereo Matching

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T15:41:11.092144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be6ab7ab-9116-4de7-a67e-a620755ceec8 · outbound

This paper cites Iterative geometry encoding volume for stereo matching.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Iterative geometry encoding volume for stereo matching

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:16.572751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62eacf6f-9b5c-4689-b540-d04ff50c8f63 · outbound

This paper cites Depth anything: Un- leashing the power of large-scale unlabeled data.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Depth anything: Un- leashing the power of large-scale unlabeled data

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:16.351250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5cec3d68-8d1f-40db-8e53-30cb50fb461d · outbound

This paper cites Depth Anything V2.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Depth Anything V2

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T15:41:11.421475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf6308b3-b4d8-423b-b8a9-76c0aed5770b · outbound

This paper cites Metric3d: Towards zero-shot metric 3d prediction from a single image.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:16.146724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4947ccfd-a9f6-42fa-8880-d31038ef6efb · outbound

This paper cites Multi-view stereo by fusing monocular and a combination of depth representation meth- ods.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Multi-view stereo by fusing monocular and a combination of depth representation meth- ods

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:15.915700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 06c3c265-6f06-4832-8142-92e75f1ff54f · outbound

This paper cites Stereo depth es- timation with echoes.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Stereo depth es- timation with echoes

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:15.729640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation acc8e6cb-195f-476e-b9cf-ccb671d1af99 · outbound

This paper cites Domain-invariant stereo matching networks.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Domain-invariant stereo matching networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:15.536804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 066434c2-5923-40c1-89ad-698df5778ca4 · outbound

This paper cites Revisiting domain generalized stereo matching networks from a feature consistency perspective.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Revisiting domain generalized stereo matching networks from a feature consistency perspective

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:15.309990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d7304aa1-3244-425e-a269-97526691efd1 · outbound

This paper cites Two-in-one depth: Bridging the gap between monocular and binocular self- supervised depth estimation.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Two-in-one depth: Bridging the gap between monocular and binocular self- supervised depth estimation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:15.103202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 80c5da79-254b-47a3-acff-2e97e6918f6b · outbound

This paper cites an unresolved cited work.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:41:14.923696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1009931a-c0d0-40f0-ab1a-87ed51ec56b8 · outbound

This paper cites As shown in Figure 6, DepthAnything v2 provides depth maps with better continuity than Marigold, especially in fine-grained regions.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching As shown in Figure 6, DepthAnything v2 provides depth maps with better continuity than Marigold, especially in fine-grained regions

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:14.701851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 77f7e56b-5077-440a-b80d-e8d879f182c2 · outbound

This paper cites From class 0 to 3, the materials be- come increasingly transparent and/or specular.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching From class 0 to 3, the materials be- come increasingly transparent and/or specular

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:14.512886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2790b622-b8d4-47e8-a038-787edabd244d · outbound

This paper cites In our experiments, we use labels with the largest disparity in transparent regions.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching In our experiments, we use labels with the largest disparity in transparent regions

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:14.343706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 11eb90ef-8a0b-40d2-84ab-8008ecc70b83 · outbound

This paper cites To ensure a fair comparison of backbones during inference, we exclude the feature encoder module when evaluating each model’s memory consumption.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching To ensure a fair comparison of backbones during inference, we exclude the feature encoder module when evaluating each model’s memory consumption

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:14.177909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7ea7c963-2ca6-43ec-a3ac-39a650bcbb2b · outbound

This paper cites an unresolved cited work.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Unresolved cited work

Reference 66

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:41:14.005054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0c1e923b-c55f-40c1-9210-001447f23a0e · outbound

This paper cites an unresolved cited work.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching Unresolved cited work

Reference 67

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:41:13.871197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ac940f19-ed76-4f9c-9a95-967d7a32a326 · outbound

This paper cites In the first failure case, our method is confused by the glass door and glass window, where both the transparent surfaces and the behind scene are significant.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching In the first failure case, our method is confused by the glass door and glass window, where both the transparent surfaces and the behind scene are significant

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:41:13.694252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0dc8be3f-9caa-4bbd-8940-5178e722e714 · outbound

This paper cites 5, 6, 2, 3.

Diving into the Fusion of Monocular Priors for Generalized Stereo Matching 5, 6, 2, 3

Reference 227

Resolution: parse uncertain; raw_fallback, observed 2026-08-07T15:41:21.647003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation b438246b-466c-45d4-8a66-79f374bcfbd8 · inbound

Domain Generalized Stereo Matching with Uncertainty-guided Data Augmentation cites this paper.

Domain Generalized Stereo Matching with Uncertainty-guided Data Augmentation Diving into the Fusion of Monocular Priors for Generalized Stereo Matching

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:48:45.676932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 967663df-97f6-41a0-8294-610dfdb927a5 · inbound

STEREOFLOW: Progressive Stereo Matching with StereoDiT and Transition Flow Matching cites this paper.

STEREOFLOW: Progressive Stereo Matching with StereoDiT and Transition Flow Matching Diving into the Fusion of Monocular Priors for Generalized Stereo Matching

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T11:10:13.960367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.