Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:27:45.021014Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 4 inbound Pith citation observations for arXiv:2412.03428.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T22:27:45.021014Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:36:14.010771Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T11:46:55.557907Z
60 of 60 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 41c39351-de3e-4242-919a-aa603511da3d · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Pixelwise view selection for unstructured multi-view stereo
Reference 1
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Observation 208ce337-22af-4c69-888a-613acab4ffa7 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Ef- ficient deep learning for stereo matching
Reference 2
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Observation 23c42e19-f2d9-4aeb-a44f-8db22e455817 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Mvsnet: Depth inference for unstructured multi-view stereo
Reference 3
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Observation 4506ce90-805c-4fa7-a717-69a25818878b · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction
Reference 4
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Observation 3b6419ee-d035-4563-b9d3-89d6c3f17410 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Neuris: Neural reconstruction of indoor scenes using normal priors
Reference 5
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Observation b7ac60de-5172-4c8d-b680-ed7e67dcbb5e · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Monosdf: Exploring monocu- lar geometric cues for neural implicit surface reconstruc- tion
Reference 6
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Observation c69a366a-490c-42a0-ba5c-9c02ce5cfb01 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Edge-aware neural im- plicit surface reconstruction
Reference 7
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Observation 38e2112d-a020-450b-840f-57233d740cb0 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Fine-detailed neural indoor scene reconstruction using multi-level importance sampling and multi-view con- sistency
Reference 8
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Observation 138eabb6-1352-4c88-9a8c-caf444dfa72b · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction 3d gaussian splatting for real-time radiance field rendering
Reference 9
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Observation 44d5b71c-9119-42dc-a6f5-429b36fe8e72 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Reference 10
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Observation e6cc2a91-2c02-4b6f-a69d-ddfe4a37e726 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Patchmatch: A randomized correspon- dence algorithm for structural image editing
Reference 11
Source-reported events for the cited work
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Observation 60d5caa7-e9a0-41ff-a95d-cfd96a347429 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Gipuma: Massively parallel multi-view stereo reconstruc- tion
Reference 12
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Observation 97f12601-3b8c-4e34-9a69-faebb057fd50 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Accurate, dense, and robust multiview stereopsis
Reference 13
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Observation 7a7c332d-5866-459c-b295-ce62d0d69610 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Screened poisson sur- face reconstruction
Reference 14
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Observation 2bdccf06-a21d-4a6e-a325-2721f267e83a · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction A probabilistic framework for space carving
Reference 15
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Observation 4ff8adf3-e965-48fe-b5e3-fb83bb05f441 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Poxels: Probabilistic voxelized volume reconstruction
Reference 16
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Observation c7da1797-7933-46bf-a4f0-2e2f862d7027 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Photorealistic scene reconstruction by voxel coloring
Reference 17
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Observation 4ab56e19-3037-47f4-8243-cc01ef576358 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Dist: Rendering deep implicit signed distance function with differentiable sphere tracing
Reference 18
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Observation 12a022a7-0d67-43d1-be7e-6096a9fa1e91 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Demon: Depth and motion network for learning monocular stereo
Reference 19
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Observation 26641a1a-c4d5-4b95-88d4-e35aaf35b82d · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Learning to com- pare image patches via convolutional neural networks
Reference 20
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Observation 5550fca2-5637-4e39-b0cc-dbebc0320cfc · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Octnetfusion: Learning depth fusion from data
Reference 21
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Observation 8b776450-56c1-4ad6-82b2-426e15b15c2e · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Deepmvs: Learning multi- view stereopsis
Reference 22
Source-reported events for the cited work
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Observation bdc8eb3d-7c75-4f99-85ab-ca88ea3b4e8f · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Recurrent mvsnet for high-resolution multi-view stereo depth inference
Reference 23
Source-reported events for the cited work
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Observation 13ecb45f-b77d-4b83-ad1f-676f777c8578 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Fast-mvsnet: Sparse-to- dense multi-view stereo with learned propagation and gauss- newton refinement
Reference 24
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Observation 4cfddd99-87c8-4070-b0e6-62ae4dd559c8 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Visibility-aware Multi-view Stereo Network
Reference 25
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Observation 8b189758-ed28-45c5-adf2-552788cdaaf6 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Nerf: 9 Representing scenes as neural radiance fields for view syn- thesis
Reference 26
Source-reported events for the cited work
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Observation c53aea8b-8f61-4188-b8c7-cc1593685566 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields
Reference 27
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Observation 9fe6ca56-aad0-4809-b783-15a3ed159f0a · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Point- nerf: Point-based neural radiance fields
Reference 28
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Observation d1e9b055-34d9-4ca1-9927-872387cf330d · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Zip-nerf: Anti-aliased grid-based neural radiance fields
Reference 29
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Observation bfe07b6b-e39d-4e74-94d3-cc1719309091 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Instant neural graphics primitives with a mul- tiresolution hash encoding
Reference 30
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Observation 719dfda7-e559-4b7e-9565-ea66e5251855 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Neural sparse voxel fields
Reference 31
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Observation fe6178b8-9c3c-46aa-832b-d10c1a9a3324 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Plenoxels: Radiance fields without neural networks
Reference 32
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Observation 8923f1d3-403d-403e-9eb7-75c555b2e1be · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Tensorf: Tensorial radiance fields
Reference 33
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Observation 4e61c79b-543e-4623-86b9-c9150e89452d · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Neuralangelo: High-fidelity neural surface reconstruction
Reference 34
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Observation fa58463c-b4f1-4180-b192-f60d100d18a0 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Depth-supervised nerf: Fewer views and faster train- ing for free
Reference 35
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Observation 515dc3e6-3bd4-4efd-9100-d22fef4e225e · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Nerfingmvs: Guided optimization of neural radiance fields for indoor multi-view stereo
Reference 36
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Observation b78552ab-4ecf-4806-b370-a67c723d2615 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Reg- nerf: Regularizing neural radiance fields for view synthesis from sparse inputs
Reference 37
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Observation f66b28fe-5f2f-4747-9316-6a318dc70383 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Sparsenerf: Distilling depth ranking for few-shot novel view synthesis
Reference 38
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Observation 8feb6c5c-09ee-4688-b00b-13287d5a84f1 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Corresnerf: Image correspondence priors for neural radiance fields
Reference 39
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Observation 014113fd-5682-4bf3-af06-4e72f7486b33 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Differentiable volumetric rendering: Learn- ing implicit 3d representations without 3d supervision
Reference 40
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Observation 96c86fa5-2278-4ac3-ad80-685af5f42f85 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction
Reference 41
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Observation 1083dde0-f1ae-4107-963d-cf964338772c · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Multiview neu- ral surface reconstruction by disentangling geometry and ap- pearance
Reference 42
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2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction V ol- ume rendering of neural implicit surfaces
Reference 43
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Observation 1353a88e-3e5b-43f4-a149-a68e9932a3c5 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Geo-neus: Geometry-consistent neural implicit surfaces learning for multi-view reconstruction
Reference 44
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Observation c9f83d78-49cb-4179-8091-6410d6ea65af · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Critical regu- larizations for neural surface reconstruction in the wild
Reference 45
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2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Neural 3d scene reconstruction with the manhattan-world assumption
Reference 46
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Reference 47
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2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing
Reference 48
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2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction GaussianRoom: Improving 3D Gaussian Splatting with SDF Guidance and Monocular Cues for Indoor Scene Reconstruction
Reference 49
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Reference 50
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2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
Reference 51
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Reference 52
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Observation 72b1b6e9-bdb4-4616-9eb9-85a63aeac3e5 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction RaDe-GS: Rasterizing Depth in Gaussian Splatting
Reference 53
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Observation 07f626ec-a942-4a90-89d5-e0507d6dc105 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Depth Pro: Sharp Monocular Metric Depth in Less Than a Second
Reference 54
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Reference 55
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2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Es- timating and exploiting the aleatoric uncertainty in surface normal estimation
Reference 56
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Reference 57
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2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction Scannet++: A high-fidelity dataset of 3d in- door scenes
Reference 58
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Observation 89a820e5-29e5-4540-9833-aad3ccbb2a30 · outbound
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Reference 59
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Observation 3a694996-421b-4353-9cc2-4c457b0a0796 · outbound
2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction A volumetric method for building complex models from range images
Reference 60
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Observation 1707178e-1027-45a2-a4cc-2229aa88bcce · inbound
OmniIndoor3D: Comprehensive Indoor 3D Reconstruction 2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction
Reference 53
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Reference 37
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Reference 45
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Reference 42
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