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Paper Citation Record · LEDGER

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones

As of 14 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2411.19271.

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

pith.paper-citation-record.v1
2411.19271 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:25:59.682695Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

63 of 63 outbound references displayed

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  • verified fuzzy48
  • unresolved14
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4af132e-7372-4641-bfdc-f8b87cfee025 · outbound

This paper cites https:// learn.microsoft.com/en- us/azure/kinect- dk/depth-camera.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones https:// learn.microsoft.com/en- us/azure/kinect- dk/depth-camera

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 73c236f5-b9a2-4133-a12e-c36466a0e717 · outbound

This paper cites Neural rgb-d surface reconstruction.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Neural rgb-d surface reconstruction

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f6d33b00-b16d-42bc-bea0-57dff7269005 · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields, 2022.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Mip-nerf 360: Unbounded anti-aliased neural radiance fields, 2022

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b2f7e277-644c-45c1-9e9a-1bf47e9454b2 · outbound

This paper cites Zoedepth: Zero-shot transfer by com- bining relative and metric depth, 2023.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Zoedepth: Zero-shot transfer by com- bining relative and metric depth, 2023

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1202632c-e014-4766-b7f2-f69dc309f962 · outbound

This paper cites Apple iphone 13 pro lidar accu- racy assessment for engineering applications.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Apple iphone 13 pro lidar accu- racy assessment for engineering applications

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 50bc4d4b-a549-4684-a2ef-365dc67e3769 · outbound

This paper cites VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

Reference 6

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 342bd228-f933-431a-b609-230983cc21e4 · outbound

This paper cites Tmo: Textured mesh acquisition of objects with a mobile device by using differentiable rendering.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Tmo: Textured mesh acquisition of objects with a mobile device by using differentiable rendering

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 767d5aae-3cc2-4f16-ae04-5aeb248321d9 · outbound

This paper cites Nearest neighbor pattern classification.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Nearest neighbor pattern classification

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ddf12412-dc6c-475f-8c37-5c43fb57a4b8 · outbound

This paper cites A volumetric method for building complex models from range images.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones A volumetric method for building complex models from range images

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation cbc4fadc-aded-4218-8be9-43b9a1447eb8 · outbound

This paper cites High-quality surface reconstruction using gaussian surfels.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones High-quality surface reconstruction using gaussian surfels

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 498ac9e3-af3a-4007-bfc7-01de6e765ceb · outbound

This paper cites Depth-supervised nerf: Fewer views and faster training for free.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Depth-supervised nerf: Fewer views and faster training for free

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 56ca4ed0-644b-424a-94e5-59df1d173f2e · outbound

This paper cites Depth-supervised NeRF: Fewer views and faster training for free.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Depth-supervised NeRF: Fewer views and faster training for free

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 022ece7f-d9e0-4f2f-9744-d23cf4b185b5 · outbound

This paper cites Transmvs- net: Global context-aware multi-view stereo network with transformers.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Transmvs- net: Global context-aware multi-view stereo network with transformers

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.590043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.438179Z digest=sha256:a96daff323b596bc3c73e873bd2617c48a987f65ba4a47882f6cc377def87837

Observation a9fbb425-73f0-433a-ab95-e79c2198bd8d · outbound

This paper cites Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a932bb6b-a9b6-4f22-b746-6fe58c84a022 · outbound

This paper cites Multi-view stereo for com- munity photo collections.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Multi-view stereo for com- munity photo collections

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.447673Z digest=sha256:1bb5ba7a64a89cec47db0641e4b6d9cb285a266e16e32a0f1c65c25022d385b1

Observation 2a227aa0-9472-4876-b7de-de50bd8f9017 · outbound

This paper cites Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering, 2023.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Sugar: Surface-aligned gaussian splatting for efficient 3d mesh reconstruction and high-quality mesh rendering, 2023

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6401f965-0951-4797-8d0f-be1e80d6792d · outbound

This paper cites Rgb-d mapping: Using kinect-style depth cameras for dense 3d modeling of indoor environments.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Rgb-d mapping: Using kinect-style depth cameras for dense 3d modeling of indoor environments

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 05a119db-860b-4045-a2c0-fc865c343950 · outbound

This paper cites Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T10:25:59.463465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:25:59.463465Z digest=sha256:1a05bd177e0835cf4528a6ad16d0c5842156336fea7e271bb9bb0d2d6ebf38eb

Observation 4d1322b6-8f00-4f9d-87f5-b706f3d41482 · outbound

This paper cites 2d gaussian splatting for geometrically accu- rate radiance fields.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones 2d gaussian splatting for geometrically accu- rate radiance fields

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c1ec86cd-012f-44d4-9ae9-c09b33e420f1 · outbound

This paper cites Newcombe, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Dustin Freeman, Andrew J.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Newcombe, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Dustin Freeman, Andrew J

Reference 20

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d7e6bece-95c7-489d-9cd6-f9df137a2f86 · outbound

This paper cites an unresolved cited work.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Unresolved cited work

Reference 21

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unresolved
raw_fallback, observed 2026-08-12T10:26:00.463148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.478387Z digest=sha256:386bb5e4102c4e4919e3e8132e82b7abbaf7b87d58803ae02eb5830c015fe4f7

Observation 402c570f-5771-4d70-b968-7797e579b452 · outbound

This paper cites Screened poisson surface reconstruction.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Screened poisson surface reconstruction

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.489062Z digest=sha256:2684fb41c63f1216735162dbcaac31f022063c5ba734e5d07fd09f73db555bf5

Observation 53466579-37a7-4213-bcc9-152ae0e0a911 · outbound

This paper cites Pois- son surface reconstruction.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Pois- son surface reconstruction

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.419537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.493659Z digest=sha256:d2de4a9ba6c21fd141f298f34d5e4067c7f7f9ae195524b686e8ee4d857f4d9b

Observation 1aee4b5b-c712-42cc-9004-f36f865315f7 · outbound

This paper cites Unconstrained isosurface extraction on arbitrary oc- trees.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Unconstrained isosurface extraction on arbitrary oc- trees

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.403408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.498310Z digest=sha256:c075d32918e79680c40033d9064435435b5efb555f13b2cdff0bea336cca161d

Observation 0676f788-e0c7-4b02-8a6a-cf5c100c8d91 · outbound

This paper cites Unconstrained isosurface extraction on arbitrary oc- trees.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Unconstrained isosurface extraction on arbitrary oc- trees

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.384848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b0e776cd-2474-454b-8ad9-7f9aecaad02d · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones 3d gaussian splatting for real-time radiance field rendering

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.362633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fad6d179-4921-444e-be6a-06c28b34df17 · outbound

This paper cites Accuracy and resolution of kinect depth data for indoor mapping appli- cations.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Accuracy and resolution of kinect depth data for indoor mapping appli- cations

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.346125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.512758Z digest=sha256:9c878817b229bdaeb21aad372be083933e5bcd0c5a3742da9d2e260aa5bba677

Observation 658546ef-a7d7-4121-add3-caab96c712ec · outbound

This paper cites Marching cubes: A high resolution 3d surface construction algorithm.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Marching cubes: A high resolution 3d surface construction algorithm

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.328391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.517330Z digest=sha256:3756d2768eaa063ed8f446e1412e2e9a4f9ed8447608013063ddadd36bae6337

Observation 4787d1c3-db48-4b91-af91-f48a201087a8 · outbound

This paper cites Melekhov, J.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Melekhov, J

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.310809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.522010Z digest=sha256:965d024022f6b41ea2a944a646b9e6061d7d4ea50f2e4a20cb50f133436029e0

Observation 68336bbc-8ac2-4ddf-994e-3af66b9bc311 · outbound

This paper cites Real-time visibility-based fusion of depth maps.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Real-time visibility-based fusion of depth maps

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.294106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.526589Z digest=sha256:00b0f284ee1dbf8092bc93c53599235b0af8d479aa81df93764648680d6f507a

Observation 188152f3-80b9-4f04-a6a6-3fc37723878c · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Srinivasan, Matthew Tancik, Jonathan T

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T10:25:59.531264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:25:59.531264Z digest=sha256:4d6ddf3d9a2ec4635bff461d1596202e0f0be9c829dab3df470291aa67302059

Observation 51d7d730-25be-4b5c-9ec3-93e3d60ba8e9 · outbound

This paper cites Instant neural graphics primitives with a multires- olution hash encoding.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Instant neural graphics primitives with a multires- olution hash encoding

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.266148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.535429Z digest=sha256:295ea4d87d51b13600e797e900d4296343855d8531cb23663eab4494c7e60059

Observation 32a28232-f525-4746-84a5-6c5617ba5523 · outbound

This paper cites H2O-SDF: Two-phase learning for 3d indoor reconstruction using object surface fields, 2024.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones H2O-SDF: Two-phase learning for 3d indoor reconstruction using object surface fields, 2024

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.250084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.539820Z digest=sha256:21a7dfc85add855887b5ae0c7b13c0e6ced4b5097201279496e60e253d65ef32

Observation 826443ab-0c7d-4c9c-a855-bd54fa790962 · outbound

This paper cites InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T10:25:59.544332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:25:59.544332Z digest=sha256:1e24a0e7b8f329d7650298947844a833bd466f93ab951b228cc0acbcce743bca

Observation ce1ead87-19ee-4865-9ffd-c1c3fda42f99 · outbound

This paper cites Stopthe- pop: Sorted gaussian splatting for view-consistent real-time rendering, 2024.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Stopthe- pop: Sorted gaussian splatting for view-consistent real-time rendering, 2024

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.232546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.549879Z digest=sha256:74b80722acac32670c0dd3f66b840205424e4846b84f058fefd737ce044b45d0

Observation 869a7597-95d5-414a-a19e-170322550240 · outbound

This paper cites Nerfmeshing: Distilling neural radiance fields into geometrically-accurate 3d meshes.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Nerfmeshing: Distilling neural radiance fields into geometrically-accurate 3d meshes

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.216354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.554362Z digest=sha256:1ca5f0f6c281212d78251ee887734620c7a4dd43fae146c512e1243b1e2b9f38

Observation d8c32132-ad3f-47b2-a707-249ee29d0b2e · outbound

This paper cites Mushroom: Multi-sensor hybrid room dataset for joint 3d reconstruction and novel view synthesis.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Mushroom: Multi-sensor hybrid room dataset for joint 3d reconstruction and novel view synthesis

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.200764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.559088Z digest=sha256:2b3844219a1cd0d18cbe00783d79887d136ec4f4b202eba00740496fa862d38d

Observation ce25e5d3-84a2-41d8-a0df-e77f91fd8ed6 · outbound

This paper cites Octnetfusion: Learning depth fusion from data.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Octnetfusion: Learning depth fusion from data

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.183374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.563380Z digest=sha256:3a096a734348e88c65a6c5155ff04d1d08c82ca59193eecaeaf24e4e4abc96d0

Observation 60060f26-aa59-4f8a-a286-253a1ebc98fb · outbound

This paper cites Dense depth priors for neural radiance fields from sparse input views.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Dense depth priors for neural radiance fields from sparse input views

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.165394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.567887Z digest=sha256:d3ff441ad0c20a85e5a7781a460234f5f97631be3031c7e984bc9c2159f64112

Observation d2dd4f68-6c54-4e88-92e0-f29dd1260443 · outbound

This paper cites Deep marching tetrahedra: a hybrid represen- tation for high-resolution 3d shape synthesis.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Deep marching tetrahedra: a hybrid represen- tation for high-resolution 3d shape synthesis

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.149242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.572690Z digest=sha256:b1298e74713492eed9ab6eb0e1700e8deda9a220d29ab995900f2dad7b6e48c1

Observation 0e854a5b-6922-46ea-b7a5-3ba622ea02e5 · outbound

This paper cites Nerfstudio: A modular framework for neural radiance field development.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Nerfstudio: A modular framework for neural radiance field development

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.132848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.577258Z digest=sha256:9c5d029130e418734031110c0c44caccbc80c2b4979823af338ccf1c86e16a39

Observation e031dd94-a5ac-4821-a8a3-7579fbc25540 · outbound

This paper cites Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T10:25:59.582393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:25:59.582393Z digest=sha256:62e2367a5e3ab5be1fdaceeb21cc382229e2a90477125a9a250b03f5c6df53ba

Observation 5305449a-9bc2-439e-872f-55c2cd522712 · outbound

This paper cites DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T10:25:59.587498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:25:59.587498Z digest=sha256:343e138a6f505ea4a7dffd2ee1ddfd7d4a0417cdcd68585b04c9ab8fc5e4b917

Observation 7a6ecb9c-998d-4fc9-a8f4-fc493a9c5bac · outbound

This paper cites High accuracy and visibility-consistent dense multiview stereo.IEEE transactions on pattern analysis and machine intelligence, 34(5):889–901, 2011.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones High accuracy and visibility-consistent dense multiview stereo.IEEE transactions on pattern analysis and machine intelligence, 34(5):889–901, 2011

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.116124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.592677Z digest=sha256:9dd43345a0d91e39f78ee6a24e1d3c029d8220a1c40c67ecfbd65107a8d4a922

Observation 38f9618a-b12b-4085-991a-0e1ab7a68eb3 · outbound

This paper cites Go- surf: Neural feature grid optimization for fast, high-fidelity rgb-d surface reconstruction.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Go- surf: Neural feature grid optimization for fast, high-fidelity rgb-d surface reconstruction

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.097519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.597432Z digest=sha256:085441f22a392d2d79a4a9f6f29a3190366dc3638ba7b6255d758ad20261ea8a

Observation 080cc7d6-02ed-4e73-9c5f-c1035a8d7003 · outbound

This paper cites Neuris: Neural reconstruction of indoor scenes using normal priors.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Neuris: Neural reconstruction of indoor scenes using normal priors

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T10:25:59.602066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:25:59.602066Z digest=sha256:4e1a789cfea51ed2a461ce54774547e99cf235c4e0d51954d3ba3c0e40a0b8eb

Observation cc6b98fe-8491-4f04-b93d-a3a8816c0137 · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T10:25:59.607707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:25:59.607707Z digest=sha256:16ac1859b1a4875575fea83637a77e7fcd8b2ff3bcf63270e60651a93311d9a0

Observation 1180654f-3bda-49ad-8125-97cea8f13b4e · outbound

This paper cites Neus2: Fast learning of neural implicit surfaces for multi-view reconstruction.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Neus2: Fast learning of neural implicit surfaces for multi-view reconstruction

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T10:25:59.612900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:25:59.612900Z digest=sha256:93ce12f1dabf495f94f910066e52c43ea1da75d1d4ba3199781ca6a6b44ab5e8

Observation cf4a7582-6c40-4b5d-98bd-fd9f765973cc · outbound

This paper cites Neuralfusion: Online depth fusion in latent space.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Neuralfusion: Online depth fusion in latent space

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.060836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.617567Z digest=sha256:3f4eb9641841946d398507cb556fcb2dcb72afbdab6afe46567d488d86f0d4ff

Observation eeb33b8a-062c-47e9-9588-e04ff839f734 · outbound

This paper cites Nerfingmvs: Guided optimization of neural radiance fields for indoor multi-view stereo.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Nerfingmvs: Guided optimization of neural radiance fields for indoor multi-view stereo

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.043333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.622345Z digest=sha256:1adbf78b922bb37d640068c737963674ef36632dfda8ab43cd884adf1ad3cd66

Observation a00bb2c5-9226-44af-b606-37ec7c8ebe1f · outbound

This paper cites Debsdf: Delving into the details and bias of neural indoor scene reconstruction.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Debsdf: Delving into the details and bias of neural indoor scene reconstruction

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:26:00.022695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.627339Z digest=sha256:99a29d37af4abfc3055ca9adf6dbda2653da073b188f8a4c2619bb2ca3d2c85e

Observation 6743d457-8bb1-47f9-b923-d318d89f2444 · outbound

This paper cites Sparsegs: Real-time 360° sparse view synthesis using gaussian splatting.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Sparsegs: Real-time 360° sparse view synthesis using gaussian splatting

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:25:59.997671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.631772Z digest=sha256:7d92ba67d81e5e0d5d917dbd8cb2cb58d87e977d74f87c0128ab1cfe569c17e8

Observation d8caf0c0-9521-4c67-a38b-d3a1b39f78f4 · outbound

This paper cites Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T10:25:59.636373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:25:59.636373Z digest=sha256:3e158b6a2b5b118991cc8fb742d7305b2fc838d00e39f276bcbf73851c20fdc5

Observation 04ab5049-8c93-4ab6-ad6a-af61c13d6c3b · outbound

This paper cites V ol- ume rendering of neural implicit surfaces.Advances in Neural Information Processing Systems, 34:4805–4815, 2021.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones V ol- ume rendering of neural implicit surfaces.Advances in Neural Information Processing Systems, 34:4805–4815, 2021

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:25:59.981498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.641348Z digest=sha256:33b68351a6d7e11522ba987d1f4910407381a911e75c9ffae2c91e80373d8dfb

Observation 355fecca-c493-41e8-a2ed-2ac0b8adcd5f · outbound

This paper cites Scannet++: A high-fidelity dataset of 3d indoor scenes.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Scannet++: A high-fidelity dataset of 3d indoor scenes

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:25:59.963737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.646495Z digest=sha256:f0806b7566bb34f37cc12efa787fd2075d7813cee7baab5710256eb30b26c25e

Observation 6dcbe706-b0be-42f2-8240-93c6314751ff · outbound

This paper cites Improving Neural Indoor Surface Reconstruction with Mask-Guided Adaptive Consistency Constraints.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Improving Neural Indoor Surface Reconstruction with Mask-Guided Adaptive Consistency Constraints

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:25:59.763211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.651626Z digest=sha256:1f1301ca08cc7297de17c1ecf2800ec5fb6e6fd8c9a1f322977e1bdb353da4db

Observation 60e4ef34-38f8-449a-bb34-1a6b4da13595 · outbound

This paper cites Fast-mvsnet: Sparse-to-dense multi-view stereo with learned propagation and gauss-newton refinement.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Fast-mvsnet: Sparse-to-dense multi-view stereo with learned propagation and gauss-newton refinement

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:25:59.947766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.656916Z digest=sha256:65b7b6ce7217e6e71e210950298f44e00054d57f74f5794d8a5c70dc82affc23

Observation 9abe3cdc-09c3-427e-a1ae-5cf1c8beeac5 · outbound

This paper cites Monosdf: Exploring monocular geomet- ric cues for neural implicit surface reconstruction.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Monosdf: Exploring monocular geomet- ric cues for neural implicit surface reconstruction

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:25:59.931702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.661753Z digest=sha256:86d5eb1de88b60682ed1b81c4a2f67ce3f043444990ff76fcb5ba834d083347c

Observation ddbd860a-5f06-4501-86e1-3482cdcd75cb · outbound

This paper cites Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-12T10:25:59.667027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:25:59.667027Z digest=sha256:878d9694fb4ea214758a323595d536d2e5d8605e44957042689e1b87514101db

Observation 927637dd-edd1-4ef9-abb5-ce21e028c33f · outbound

This paper cites Dense scene reconstruc- tion with points of interest.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Dense scene reconstruc- tion with points of interest

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:25:59.913761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.672521Z digest=sha256:a63ce2c06ba1d33fc336871432eaaae50c26ab90b4c09b1370425be23f6c8639

Observation 252563a6-2a79-4301-a5aa-9aa5c3669e6c · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Open3D: A Modern Library for 3D Data Processing

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-12T10:25:59.677610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:25:59.677610Z digest=sha256:3477398feeb51d014d147d4fb28cc4a4992c25e232cbf899869fcbb98442f1fc

Observation d0e67271-644c-4ac7-af1f-5153d89aead4 · outbound

This paper cites an unresolved cited work.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones Unresolved cited work

Reference 1986

Resolution
unresolved
no resolver link, observed 2026-08-12T10:25:59.483741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:25:59.483741Z digest=sha256:6b8da4f5948f75a9b5e5628bf1549525f07ea959c2997c48e3af2a8be096b2e5

Observation 61e6fcde-08dc-49fc-a203-a5bc00daf8b7 · outbound

This paper cites We also give further details about the mesh- ing strategies in Appendix B.

AGS-Mesh: Adaptive Gaussian Splatting and Meshing with Geometric Priors for Indoor Room Reconstruction Using Smartphones We also give further details about the mesh- ing strategies in Appendix B

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:25:59.897730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T10:25:59.682695Z digest=sha256:bd17b6757c2334c6cb9dedb5693e2ce511c965b98b696f354d336fdc6a26b70d

Pith citing papers

No inbound Pith citation observations are available.