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Paper Citation Record · LEDGER

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation

As of 16 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 0 inbound Pith citation observations for arXiv:2508.13091.

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

pith.paper-citation-record.v1
2508.13091 v1

Coverage vector

measured 98 of 98 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:21:32.240445Z

measured 98 of 98 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

98 of 98 outbound references displayed

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  • verified fuzzy40
  • unresolved57
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ac5c3e8-39ca-4415-a205-5d8fc0ee5814 · outbound

This paper cites Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond

Reference 1

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Observation 729188b3-46df-4850-953d-6f6bdcabf0fa · outbound

This paper cites Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom

Reference 2

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Observation 567c131a-e8c2-41a7-b529-6778243ac2ab · outbound

This paper cites Deep 3d pan via local adaptive” t-shaped” convolutions with global and local adaptive dilations.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Deep 3d pan via local adaptive” t-shaped” convolutions with global and local adaptive dilations

Reference 3

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Observation 7b78c70d-60ce-4f68-9289-94b895fef067 · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 4

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Observation 1f1ab6aa-90c6-4055-a6af-1eb85c836923 · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

Reference 5

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Observation 3c4f567e-8f35-4518-ad37-cd4261dfa648 · outbound

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DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Unresolved cited work

Reference 6

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Observation 620e435e-22fc-4992-bf51-1e8e9ddc530e · outbound

This paper cites Generative novel view synthesis with 3d-aware diffusion models.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Generative novel view synthesis with 3d-aware diffusion models

Reference 7

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Observation 553442d3-d11a-4fcf-83d1-b1a2cbc70a42 · outbound

This paper cites Chang and Y.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Chang and Y

Reference 8

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Observation f06c7012-537a-4121-88e8-95cbbb74d473 · outbound

This paper cites Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

Reference 9

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Observation f8ca1fb4-5215-4f03-b1e1-3633fa1c5c97 · outbound

This paper cites IT3D: Improved Text-to-3D Generation with Explicit View Synthesis.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation IT3D: Improved Text-to-3D Generation with Explicit View Synthesis

Reference 10

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Observation b4a726c6-1b5e-4c6f-b7a5-22d96959ce26 · outbound

This paper cites Hierarchical neural architecture search for deep stereo matching.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Hierarchical neural architecture search for deep stereo matching

Reference 11

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Observation ae9f6b6d-0097-4653-b25d-85271c91adf6 · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Objaverse: A universe of annotated 3d objects

Reference 12

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Observation a82f51d8-09b3-4f16-9c66-acd1fa292133 · outbound

This paper cites Nerdi: Single-view nerf synthesis with language-guided dif- fusion as general image priors.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Nerdi: Single-view nerf synthesis with language-guided dif- fusion as general image priors

Reference 13

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Observation 5208d219-bf92-4d68-b6ae-3c10970fe369 · outbound

This paper cites Mv-diffusion: Motion-aware video diffusion model.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Mv-diffusion: Motion-aware video diffusion model

Reference 14

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Observation 3e73aaab-22b5-4909-bcd8-27a50e1b49bb · outbound

This paper cites Carla: An open urban driv- ing simulator.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Carla: An open urban driv- ing simulator

Reference 15

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Observation 941cb1c6-420f-41cd-8c45-73101e7fb8b6 · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep net- work.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Depth map prediction from a single image using a multi-scale deep net- work

Reference 16

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Observation c4aadada-5074-4df4-a463-dd3fb3e43d69 · outbound

This paper cites Occlusion-aware self- supervised stereo matching with confidence guided raw dis- parity fusion.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Occlusion-aware self- supervised stereo matching with confidence guided raw dis- parity fusion

Reference 17

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Observation 5e01e61b-b428-4ecd-b5b8-12bf50e0cfa2 · outbound

This paper cites Mc-stereo: Multi-peak lookup and cascade search range for stereo matching.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Mc-stereo: Multi-peak lookup and cascade search range for stereo matching

Reference 18

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Observation 30726e0b-13b8-4e41-b241-34cfb9b8c4ae · outbound

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

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 19

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Observation dadb4b2f-5db7-430c-a961-627de9725466 · outbound

This paper cites Vision meets robotics: The kitti dataset.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Vision meets robotics: The kitti dataset

Reference 20

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Observation 0d1da9c4-3d13-4a79-ba40-3a88f336da82 · outbound

This paper cites Unsupervised monocular depth estimation with left- right consistency.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Unsupervised monocular depth estimation with left- right consistency

Reference 21

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Observation 6e51363a-6ace-4e7e-a624-aef7a3f1603d · outbound

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

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Digging into self-supervised monocular depth estimation

Reference 22

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Observation 2c799dec-ffb1-4a41-98bd-515308c83fc3 · outbound

This paper cites Deep 3d pan via local adaptive” t-shaped” convolutions with global and local adaptive dilations.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Deep 3d pan via local adaptive” t-shaped” convolutions with global and local adaptive dilations

Reference 23

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Observation 7ec0a0b5-5734-4b08-9219-2eb176e1e532 · outbound

This paper cites Nerfdiff: Single-image view synthesis with nerf-guided dis- tillation from 3d-aware diffusion.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Nerfdiff: Single-image view synthesis with nerf-guided dis- tillation from 3d-aware diffusion

Reference 24

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Observation 9f10eb2e-2610-45e6-b5f7-1d089a4da429 · outbound

This paper cites Neural markov random field for stereo matching.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Neural markov random field for stereo matching

Reference 25

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Observation a835dab5-6425-48f7-8b49-849679b5f540 · outbound

This paper cites 3d packing for self-supervised monocular depth estimation.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation 3d packing for self-supervised monocular depth estimation

Reference 26

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DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Unresolved cited work

Reference 27

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Observation 048b7697-7c25-4b26-8e36-9ea0b285253b · outbound

This paper cites Stereo processing by semiglobal match- ing and mutual information.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Stereo processing by semiglobal match- ing and mutual information

Reference 28

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Observation ccb61127-608d-4c67-b402-3c8a5a59c06a · outbound

This paper cites Denoising dif- fusion probabilistic models.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Denoising dif- fusion probabilistic models

Reference 29

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Observation fd0f61b9-54a1-4aee-88e5-91be4741fd08 · outbound

This paper cites Em- bedded real-time multi-baseline stereo.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Em- bedded real-time multi-baseline stereo

Reference 30

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Observation 0d5340ac-59b0-49eb-9d3d-6a17e119bd10 · outbound

This paper cites DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation

Reference 31

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Observation b23bee83-cfd4-40f9-af94-ffbec15e09d5 · outbound

This paper cites Unsupervised monocular depth estimation with multi-baseline stereo.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Unsupervised monocular depth estimation with multi-baseline stereo

Reference 32

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Observation ef843f15-cd3c-45cd-a343-3402c48f8187 · outbound

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

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 33

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Source-reported events for the cited work

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Observation e87371c3-2dd1-487b-beba-963b367b24a6 · outbound

This paper cites Stereonet: Guided hierarchical refinement for real-time edge-aware depth prediction.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Stereonet: Guided hierarchical refinement for real-time edge-aware depth prediction

Reference 34

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Observation 0613559f-dbd4-4c4d-8d15-61bb1bb36c12 · outbound

This paper cites Generative scene syn- thesis via incremental view inpainting using rgbd diffusion models.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Generative scene syn- thesis via incremental view inpainting using rgbd diffusion models

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:31.904344Z digest=sha256:13295ed7130f7faad619364dc950400c3b93c86b9290b19ace507f9c85484e0a

Observation 8fa788e7-6f0f-40ba-bbe0-d5c3c7eb8652 · outbound

This paper cites Occlusion aware stereo matching via cooperative unsupervised learning.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Occlusion aware stereo matching via cooperative unsupervised learning

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:31.908464Z digest=sha256:1e774bdb0597a789154ab5cf7b233650dd1b903c24ea22304e1f8ccf2050895c

Observation 6428af22-3725-4416-9d5a-fd7ad9aa8e67 · outbound

This paper cites Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:31.913146Z digest=sha256:a3c0f81a77338796b7d3f516220f9b8ce4aa67eca8380706ba269f90bd257b18

Observation 247eab3e-f905-4975-9abe-156cfcaf9541 · outbound

This paper cites DAHe white dwarfs from the DESI survey.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation DAHe white dwarfs from the DESI survey

Reference 38

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:21:31.918189Z digest=sha256:993bd6aa315383c21f9204df888153df0759666472f4df18df057c9e28f63b6e

Observation a50e901e-ebc8-4650-a160-96c3b571dc4e · outbound

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

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Raft-stereo: Multilevel recurrent field transforms for stereo matching

Reference 39

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raw_fallback, observed 2026-08-15T17:21:33.480816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:31.922135Z digest=sha256:253862d7196b97c880af8bb38207888134e50e2531cddd38dda20ebd1d720baf

Observation fc829ef8-8562-4ae5-8453-7cf9e87f895e · outbound

This paper cites Geometry-aware deep network for single-image novel view synthesis.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Geometry-aware deep network for single-image novel view synthesis

Reference 40

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raw_fallback, observed 2026-08-15T17:21:33.467044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:31.925717Z digest=sha256:8f20fd62c9ec5c87ff655a03934183d9d80b0eb6d5b04d8db9c8959be4a654b8

Observation a3f53eba-4bf1-42f2-98aa-3b0a38fab4d9 · outbound

This paper cites Flow2stereo: Effective self-supervised learning of optical flow and stereo matching.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Flow2stereo: Effective self-supervised learning of optical flow and stereo matching

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-15T17:21:33.449847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:31.930447Z digest=sha256:fbcf4b0b143e09a03a229be81bb99ea378f1e55e0854b10d417f56a2aea7ba8a

Observation d9cb70b7-7910-476e-85bb-69035319dfb7 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object, 2023.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Zero-1-to-3: Zero-shot one image to 3d object, 2023

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:31.934341Z digest=sha256:b430503ab373e0929d29c19d6425e09d9998d4e4fe4e298f10c3a9598e0f3e3d

Observation 1cec0b91-323a-4186-b73b-245b0b49448d · outbound

This paper cites Deceptive-NeRF/3DGS: Diffusion-Generated Pseudo-Observations for High-Quality Sparse-View Reconstruction.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Deceptive-NeRF/3DGS: Diffusion-Generated Pseudo-Observations for High-Quality Sparse-View Reconstruction

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:31.939257Z digest=sha256:908476360e4f949da0fbf5c542f60722e5e9512745e40e91ff484b2065e07f31

Observation 0f71b577-8adb-4f6c-af44-426f81c496f5 · outbound

This paper cites SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:31.943297Z digest=sha256:0dbd0f058b1b1c99ccdd22e808fb33855ca7dbba6de4db91707f6b6e4b310efc

Observation fb170f32-5959-4983-930c-6e17638ac93a · outbound

This paper cites Digging into normal incorporated stereo match- ing.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Digging into normal incorporated stereo match- ing

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:21:33.427347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:31.949831Z digest=sha256:cb47791a95c5507ca6e6b147b65e62a3641c3778833f63e7856cdc0cda38df25

Observation b2eeb317-a5af-407a-a281-169303ca80f1 · outbound

This paper cites Global occlusion-aware transformer for robust stereo matching.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Global occlusion-aware transformer for robust stereo matching

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:21:33.412649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:31.954720Z digest=sha256:35acc02b5e1c982bc707f7710faa4f6346b3c0f8473840ef18dfef63abb5090a

Observation 3d82601b-6fd8-42b5-b491-6a251119ec5e · outbound

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

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 47

Resolution
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raw_fallback, observed 2026-08-15T17:21:33.395439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:31.958898Z digest=sha256:097568665e14cb31ef83f350f04073a20ac56b54f0ebdc9439d771c387f7cc0f

Observation cbd085b7-dc47-46b8-901d-159baa27b30b · outbound

This paper cites Object scene flow for autonomous vehicles.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Object scene flow for autonomous vehicles

Reference 48

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raw_fallback, observed 2026-08-15T17:21:33.377261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:31.963354Z digest=sha256:451f2eac295a47fb4ccb7f5fb15cd7f9dd995b10dad4a24a1146eb4365eebd0f

Observation 4ef06c44-cb9c-4bd4-8cc7-7fc83eb95e3d · outbound

This paper cites Using real-time stereo vision for mobile robot navigation.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Using real-time stereo vision for mobile robot navigation

Reference 49

Resolution
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raw_fallback, observed 2026-08-15T17:21:33.360069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:31.968319Z digest=sha256:c5d0c53a311ca7dee7a1d9a4f924f008df11a1989b20ca301fffa6892807d47c

Observation 6dc89787-c42f-4270-9f9a-11fe7300b80a · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:31.973119Z digest=sha256:18bf39b48261e25b284230d4c6f36ec96cf06f8f6203f729c479d24a27fc7089

Observation b132f491-e961-4d06-a421-9fe8ea2d8581 · outbound

This paper cites Video frame in- terpolation via adaptive separable convolution.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Video frame in- terpolation via adaptive separable convolution

Reference 51

Resolution
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raw_fallback, observed 2026-08-15T17:21:33.345823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:31.980498Z digest=sha256:3f857360a583b58e1b3ca2b8475b24685dcf43862862b471f9cb6c7e74f6dde5

Observation b08d2d83-45d3-4241-9b29-35737532ba4b · outbound

This paper cites Video frame in- terpolation via adaptive separable convolution.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Video frame in- terpolation via adaptive separable convolution

Reference 52

Resolution
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raw_fallback, observed 2026-08-15T17:21:33.332013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:31.986311Z digest=sha256:ad8ef143608ed42e08d0e75d6bdbf158bcbdf81a6348ab16195f56a4ae045836

Observation ff195b7f-505f-419c-8bad-47f02e8fe14b · outbound

This paper cites A multiple-baseline stereo.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation A multiple-baseline stereo

Reference 53

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raw_fallback, observed 2026-08-15T17:21:33.317344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:31.994586Z digest=sha256:683815b44ed7c73bc2a566f5bc7fcd1059fd2e170cb944f117433678b708492e

Observation 5ea6aba5-ad6e-4fa1-a933-7bf26df972d5 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation DreamFusion: Text-to-3D using 2D Diffusion

Reference 54

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:21:32.002024Z digest=sha256:0a50d58d0048ef7dfcf223c5e233b7cad7cb67a36ad012e5680e4a13819eca33

Observation 259d5e74-fb82-4c58-971a-f4788724ad63 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation High-resolution image synthesis with latent diffusion models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:21:33.300193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.006690Z digest=sha256:dfa25dfec4f5327abb75d52ace18c4e6d0d5d17102e6d2f88997234f66a50117

Observation 2bd63c8d-9b9b-44f4-8713-86d7ac97a249 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 56

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.010981Z digest=sha256:5fbc8f53a92ac89b6c2fff6068f2523b33f044c6b6f6b3aa6da4400aef041a1d

Observation 795b1d4c-2c59-4882-856b-201209d7c59f · outbound

This paper cites DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model

Reference 57

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.015634Z digest=sha256:b376e3a8b551fb531399063325190058c1eb5f6f41660372e18764cb89d7ce99

Observation 81181b27-7645-493f-bce0-d6ef1d405bab · outbound

This paper cites Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.021951Z digest=sha256:21fa5939df68695d788b813815eb346444ca2deddd78da66f9f4c35041bd32e3

Observation 780f2ef5-65e9-4395-9c31-438cc75b1842 · outbound

This paper cites Cfnet: Cascade and fused cost volume for robust stereo matching.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Cfnet: Cascade and fused cost volume for robust stereo matching

Reference 59

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verified fuzzy
raw_fallback, observed 2026-08-15T17:21:33.270903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.029003Z digest=sha256:6af3d5294544a235381f70150733aff7dfd283f5cee3f766a83c15a7de735943

Observation b55350e4-302a-49e0-8ae4-2b7d97eac72f · outbound

This paper cites Denoising Diffusion Implicit Models.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Denoising Diffusion Implicit Models

Reference 60

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:21:32.034568Z digest=sha256:a2055228b825e2053a23b6cb392a76f707b4bafab4de9978aedc263e06f9871c

Observation 65fcea6e-a861-4f3a-94a1-0342ec32d9f2 · outbound

This paper cites Vision-based markerless registration using stereo vi- sion and an augmented reality surgical navigation system: a pilot study.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Vision-based markerless registration using stereo vi- sion and an augmented reality surgical navigation system: a pilot study

Reference 61

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raw_fallback, observed 2026-08-15T17:21:33.253913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.039959Z digest=sha256:4af81f3bba726a7572ab120f233fbaeba761e2ae972f65bc95845470c4cdfac0

Observation caf7cf6f-9966-4811-a18c-ed240f688051 · outbound

This paper cites Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data

Reference 62

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.044196Z digest=sha256:d0def80e690f01df3058f3ea985d28c98527422bd7c351d67f17806c06c025d7

Observation 31d1fdaf-b78f-400b-98d5-20c091f1ed8c · outbound

This paper cites MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.049163Z digest=sha256:0e30aafcda758e80cef16c458fba3058c3f98b09be6627818799ef9a5d367df3

Observation 188c437e-169c-4385-9660-51320a7b72e3 · outbound

This paper cites Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision

Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.054302Z digest=sha256:2b71ab564798dc60085d94f5f6a7c9dd355e46b907faac6bbb9bb64a238a7ec1

Observation 3c044eb1-999a-46ba-b191-9fe668ed7afe · outbound

This paper cites TextMesh: Generation of Realistic 3D Meshes From Text Prompts.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation TextMesh: Generation of Realistic 3D Meshes From Text Prompts

Reference 65

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no resolver link, observed 2026-08-15T17:21:32.060585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.060585Z digest=sha256:a600b863aa613173b46a38dd74c4345d372e5f29829ea46a40509129e4fe1561

Observation 84ab7d2e-97e5-4fa7-9d0c-a2ef132b525e · outbound

This paper cites Consistent view synthesis with pose-guided diffusion models.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Consistent view synthesis with pose-guided diffusion models

Reference 66

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no resolver link, observed 2026-08-15T17:21:32.067047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.067047Z digest=sha256:ca2149269adfcb849f49976c372a3ef9b8c9bf11eb51bba735b35200210adc70

Observation 96debb32-17d5-4594-a4d5-46f76b78f752 · outbound

This paper cites Diffusers: State-of-the-art diffu- sion models.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Diffusers: State-of-the-art diffu- sion models

Reference 67

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.073520Z digest=sha256:4b00c8fb64780dee4eaeddaa410c772a28ecda12af7c31102f7bb81a65972754

Observation 851c2378-8464-48f9-ac18-e2786561d34a · outbound

This paper cites Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.078703Z digest=sha256:a048e99b90a8dd40d49ce39a0347199f838e1fe0d684515ec62b6e801054a653

Observation 30df5805-d6ed-4f45-b9df-9b162a52abba · outbound

This paper cites Quality prediction of asymmetrically distorted stereoscopic 3d images.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Quality prediction of asymmetrically distorted stereoscopic 3d images

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-15T17:21:33.189671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.085789Z digest=sha256:b2b07d47c61e21dca2efb6eb1910733b84df6c0ef615c6055269b21f68ca1f38

Observation a9cba24f-19c3-4e88-af30-3debf0d108b1 · outbound

This paper cites Per- ceptual depth quality in distorted stereoscopic images.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Per- ceptual depth quality in distorted stereoscopic images

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-15T17:21:33.167101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.090164Z digest=sha256:14163eea5a1f3a4c5bbd87f7ab0c380edf15d944d61cedf2c62d44636471597c

Observation fc575c51-1b4a-414b-866c-09c9a3852f17 · outbound

This paper cites Parallax attention for unsupervised stereo correspondence learning.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Parallax attention for unsupervised stereo correspondence learning

Reference 71

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.094540Z digest=sha256:6b3e8f7216f34d2e279a3d10a6d4f2db2e20295acc66302184da8a8c280bf3eb

Observation afc6c5bc-31be-4af3-b9a0-92a6eea7bfc1 · outbound

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

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Image quality assessment: from error visibility to structural similarity

Reference 72

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.099530Z digest=sha256:3cb3cdc85428374ccaac87c564fe4002f02b0a0d56d4afc89fe105e274a197d3

Observation 35d5273a-cf21-4da5-a75f-3d9c846a85e9 · outbound

This paper cites ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Reference 73

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.105943Z digest=sha256:10e6454df548f386ac19576dc249983ef39b49341d9a4692881592aa78589d00

Observation b97768ef-836a-4c05-8d7a-2a1bba1cc7c6 · outbound

This paper cites Novel View Synthesis with Diffusion Models.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Novel View Synthesis with Diffusion Models

Reference 74

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source=pdf_text observed=2026-08-15T17:21:32.111050Z digest=sha256:713c47b9f3a1b583cf8e2d1e2eba27acbf8a3418813a5edc5a75e2b67c0c6ce6

Observation 628298d8-2775-4005-ab6d-35c83ebd3717 · outbound

This paper cites Self-supervised monocular depth hints.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Self-supervised monocular depth hints

Reference 75

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raw_fallback, observed 2026-08-15T17:21:33.115130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.120869Z digest=sha256:2539800e35e1341e1ccffb6d0b96cb2520b702d860cac50c46d745df6830a7a0

Observation 818d673d-2426-4de3-846a-708c24086593 · outbound

This paper cites HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation

Reference 76

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.126195Z digest=sha256:3001e605acb4b57021f3992ab6d20fdb64f3cffe812bbe8fa9d55420833a40c8

Observation f51f76be-1b29-4931-b404-335f38d68766 · outbound

This paper cites 3D-aware Image Generation using 2D Diffusion Models.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation 3D-aware Image Generation using 2D Diffusion Models

Reference 77

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no resolver link, observed 2026-08-15T17:21:32.133448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.133448Z digest=sha256:e1a486c4a2718bdc7bccf59d9599d6b989d077121deeb0fcb080afd1e3e11331

Observation fd4b6956-508f-4fa6-9f79-40d2d3317bad · outbound

This paper cites Deep3d: Fully automatic 2d-to-3d video conversion with deep convo- lutional neural networks.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Deep3d: Fully automatic 2d-to-3d video conversion with deep convo- lutional neural networks

Reference 79

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.143739Z digest=sha256:ea6fb6e89cfe29240d76ea5f28e96a0e4e27e2acff83433ea9f37769c8ea2446

Observation 9c3dd9b7-5624-4399-bca2-745501935f45 · outbound

This paper cites Iterative geometry encoding volume for stereo matching.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Iterative geometry encoding volume for stereo matching

Reference 80

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verified fuzzy
raw_fallback, observed 2026-08-15T17:21:33.075691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.147933Z digest=sha256:c206f5841f5158d427ca6f354f7c141a6cfc9e1e615729492de69ec4ac2c811b

Observation d1222bfd-ce47-4cb9-9dd6-37cff49c731f · outbound

This paper cites Aanet: Adaptive aggregation network for efficient stereo matching.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Aanet: Adaptive aggregation network for efficient stereo matching

Reference 81

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raw_fallback, observed 2026-08-15T17:21:33.053836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.152003Z digest=sha256:799bc0e37852b24b5fe09aec9aaf17ae6d7cd07347a570bd1904f7d079b38328

Observation e9145c3b-7c69-4b5b-a61d-f13029094498 · outbound

This paper cites Segstereo: Exploiting semantic infor- mation for disparity estimation.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Segstereo: Exploiting semantic infor- mation for disparity estimation

Reference 82

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raw_fallback, observed 2026-08-15T17:21:33.015171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.157096Z digest=sha256:a9ed9af56bbc1b2dfd0ff84bbaff8925a3e006ac505bc0eea95b66140115790b

Observation 70378a52-86ea-451c-94c8-193a381e7565 · outbound

This paper cites Drivingstereo: A large-scale dataset for stereo matching in autonomous driving scenarios.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Drivingstereo: A large-scale dataset for stereo matching in autonomous driving scenarios

Reference 83

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.162263Z digest=sha256:ca38f8bb017da97b72b4d5704a86df3439b1665365f49d0335614fd6a5fb4e90

Observation c09d242f-7264-47a4-a041-3a7a0c6b0c8e · outbound

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

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 84

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:21:32.167396Z digest=sha256:333fbd5553833202bd1ba85cacdb2233732e87394c6d2ec141d8d44a7b0ef416

Observation 2c3f5425-a632-4416-9c31-062ee21d7062 · outbound

This paper cites Depth Anything V2.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Depth Anything V2

Reference 85

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:21:32.171644Z digest=sha256:0d01f4be60f0f795224cc02b32e947f46ea0f256a8518da36bba3913cb5ae75c

Observation f9ef80eb-9cb6-4b09-9b7b-964ab47d3401 · outbound

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

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Metric3d: Towards zero-shot metric 3d prediction from a single image

Reference 86

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:21:32.177696Z digest=sha256:14c0f34971e98aa9ea394c26ffcdffe3c5cd0bc9ba8db38deae17c33b063d797

Observation 333dc313-0786-41e8-9a11-d2098d094b4a · outbound

This paper cites Dreamsparse: Escaping from plato’s cave with 2d frozen diffusion model given sparse views.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Dreamsparse: Escaping from plato’s cave with 2d frozen diffusion model given sparse views

Reference 87

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raw_fallback, observed 2026-08-15T17:21:32.962399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.182552Z digest=sha256:5a19c974132ffb393618756d194969ceea0df98ac0ff5a94bc02b9ea571a748e

Observation cfa6e9e1-776e-4f75-8aca-ff913274eec7 · outbound

This paper cites Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation

Reference 88

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:21:32.187076Z digest=sha256:0a5334e5b2d915fe15bf000c23e8a692d2882e451c007a5fcc4f7e32104f4c04

Observation 2be47de2-0ca1-4852-8a5a-2068c6dcc450 · outbound

This paper cites Back to basics: Unsupervised learning of optical flow via brightness constancy and motion smoothness.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Back to basics: Unsupervised learning of optical flow via brightness constancy and motion smoothness

Reference 89

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raw_fallback, observed 2026-08-15T17:21:32.948148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.191569Z digest=sha256:33a95c25a4a8c27acacf35e2a1c20751fa245c2fe08385cd2f6580d4c90bff7f

Observation aa31e185-7e2e-4465-91d6-969a082d7517 · outbound

This paper cites Yu, Fereshteh Forghani, Konstantinos G.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Yu, Fereshteh Forghani, Konstantinos G

Reference 90

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raw_fallback, observed 2026-08-15T17:21:32.933830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.196590Z digest=sha256:6eb6e758237961627336082f88591665e80f2d46bbf16ab65005dcac3b27eb66

Observation c7e58724-0e61-4aa8-9322-118e5054b25f · outbound

This paper cites Zhang, V.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Zhang, V

Reference 91

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raw_fallback, observed 2026-08-15T17:21:32.917929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.201430Z digest=sha256:638e0f8fa6ce90e414e47a4c112e256cff3ad0e9b12b69990bfacdc3450e0d95

Observation 1d31d72b-dd6d-4424-bb32-39d9efc14fac · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Adding conditional control to text-to-image diffusion models

Reference 92

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T17:21:32.205689Z digest=sha256:489904cd4f33769465eefabe32d55632232035c984450692aeeb315d840ffa4d

Observation de1bf361-97c7-4d4e-baf0-ca298739c798 · outbound

This paper cites Ednet: Efficient disparity estimation with cost volume combination and attention-based spatial residual.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Ednet: Efficient disparity estimation with cost volume combination and attention-based spatial residual

Reference 93

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.210162Z digest=sha256:d3821a3f026fe9f7b6a94e1fb951b00d40a4ba531a194694abcfde048afd7d12

Observation ddecd0b5-e1a5-47bc-88ea-9f656f88a968 · outbound

This paper cites Loss functions for image restoration with neural networks.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Loss functions for image restoration with neural networks

Reference 94

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.214352Z digest=sha256:125c75b28cad907430af60780363eae6321ed1ad560ff52dbff3d7bfa22804f1

Observation 7cf6b98c-9085-4356-893b-4e984b84214a · outbound

This paper cites Un- supervised learning of stereo matching.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Un- supervised learning of stereo matching

Reference 95

Resolution
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raw_fallback, observed 2026-08-15T17:21:32.846113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.220996Z digest=sha256:addd3a235204debd13ebd5ea6dd848e9cc40aa57b2d05c4877b8033a6312f10b

Observation 93b9168d-1199-4087-91f1-f0a24d9c4ae6 · outbound

This paper cites Self-Supervised Monocular Depth Estimation with Internal Feature Fusion.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Self-Supervised Monocular Depth Estimation with Internal Feature Fusion

Reference 96

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.225893Z digest=sha256:705e237ec4c15246d960746e5cfe8489d07097d1704a0aa653b3a15feb393076

Observation 574f853f-da95-4fbc-b39b-bf05c930415b · outbound

This paper cites Self-distilled feature ag- gregation for self-supervised monocular depth estimation.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Self-distilled feature ag- gregation for self-supervised monocular depth estimation

Reference 97

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raw_fallback, observed 2026-08-15T17:21:32.823856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.231166Z digest=sha256:866cdbca016dd0a53d029f61706c2c728e9f95337246aad6efd8921e83ef6d47

Observation c87535b1-5cc7-45a8-b043-c789f5aa8533 · outbound

This paper cites Sparsefusion: Dis- tilling view-conditioned diffusion for 3d reconstruction.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation Sparsefusion: Dis- tilling view-conditioned diffusion for 3d reconstruction

Reference 98

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raw_fallback, observed 2026-08-15T17:21:32.805360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T17:21:32.235423Z digest=sha256:96f5b56707d5948e36a7d3115f7231a891a314fbaec1ec0f46b1b65e809b5a7e

Observation 42b097eb-7832-41e2-ad1e-b2bb0e31b0f8 · outbound

This paper cites HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance.

DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance

Reference 99

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:21:32.240445Z digest=sha256:20a95a4e937b696281a3074a626e8fabc5a74959fd365d1a35bc32b5a6e89e5f

Pith citing papers

No inbound Pith citation observations are available.