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Paper Citation Record · LEDGER

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models

As of 20 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2505.15185.

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

pith.paper-citation-record.v1
2505.15185 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:22.448848Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

56 of 56 outbound references displayed

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  • verified fuzzy29
  • unresolved27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47319b17-e97c-42ef-aff9-b6529e2890e6 · outbound

This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 1

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Source-reported events for the cited work

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Observation b59e2529-8500-405a-8e69-42fdd1a53b49 · outbound

This paper cites Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c201661e-c17c-4790-9dd1-9d8fc7da7387 · outbound

This paper cites Tensorf: Tensorial radiance fields.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Tensorf: Tensorial radiance fields

Reference 3

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Source-reported events for the cited work

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Observation d77ac2b9-fc4e-4c02-a4e7-dadb22372b3b · outbound

This paper cites A survey on 3d gaussian splatting.arXiv, 2024.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models A survey on 3d gaussian splatting.arXiv, 2024

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e5cd933c-9285-46ae-891f-294bd8b7b527 · outbound

This paper cites Explicit correspondence matching for generalizable neural radiance fields.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Explicit correspondence matching for generalizable neural radiance fields

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 75ee8773-bfeb-4795-8119-0ee594451d64 · outbound

This paper cites MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 18d838f2-47e2-4d55-bcb2-971dea30f810 · outbound

This paper cites Stereo radiance fields (srf): Learning view syn- thesis for sparse views of novel scenes.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Stereo radiance fields (srf): Learning view syn- thesis for sparse views of novel scenes

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 2026-08-20T06:33:59.587034+00:00.

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Observation 7cf44720-8497-4c0b-9df5-bb8e0db57acd · outbound

This paper cites Learning to render novel views from wide-baseline stereo pairs.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Learning to render novel views from wide-baseline stereo pairs

Reference 8

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Source-reported events for the cited work

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Observation c94510a8-7815-48ab-8c0a-01c63ce84ddb · outbound

This paper cites PixelGaussian: Generalizable 3D Gaussian Reconstruction from Arbitrary Views.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models PixelGaussian: Generalizable 3D Gaussian Reconstruction from Arbitrary Views

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5d759cef-a5ad-4d86-99f0-ccdf4c691853 · outbound

This paper cites Plenoxels: Radiance fields without neural networks.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Plenoxels: Radiance fields without neural networks

Reference 10

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Observation b22b9dd7-1ced-4b58-851b-6743a8792480 · outbound

This paper cites Unsupervised learning of 3d object cate- gories from videos in the wild.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Unsupervised learning of 3d object cate- gories from videos in the wild

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 2026-08-20T06:33:59.587034+00:00.

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Observation c91667a0-aca6-494f-a59b-f3aa1d861ed6 · outbound

This paper cites Large scale multi-view stereopsis evalu- ation.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Large scale multi-view stereopsis evalu- ation

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b41ec7b5-f9d7-4e9b-b613-73fc49525865 · outbound

This paper cites Geonerf: Generalizing nerf with geometry priors.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Geonerf: Generalizing nerf with geometry priors

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f9565cb8-e2b4-4e68-8bf9-b742c1a6593d · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.TOG, 42(4), 2023.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models 3d gaussian splatting for real-time radiance field rendering.TOG, 42(4), 2023

Reference 14

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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 2026-08-20T06:33:59.587034+00:00.

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Observation 02b0e864-4119-490f-b8dd-63d4a56596eb · outbound

This paper cites Infinite nature: Perpetual view generation of natural scenes from a single image.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Infinite nature: Perpetual view generation of natural scenes from a single image

Reference 15

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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 2026-08-20T06:33:59.587034+00:00.

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Observation 4ef7c7d7-4f14-447d-ad4a-daee2bb40aa8 · outbound

This paper cites Neural sparse voxel fields.Advances in Neural Information Processing Systems, 33:15651–15663,.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Neural sparse voxel fields.Advances in Neural Information Processing Systems, 33:15651–15663,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2d05eaf4-6692-4523-aa84-a31c215fc8f3 · outbound

This paper cites MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6237fd36-243e-4377-a590-b41df228c71d · outbound

This paper cites Neural rays for occlusion-aware image-based render- ing.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Neural rays for occlusion-aware image-based render- ing

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2ebeefa6-7193-4e7d-a033-10679be9e5b3 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Swin transformer: Hierarchical vision transformer using shifted windows

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation af070367-b6dc-469b-8668-60348432bcad · outbound

This paper cites Neural Volumes: Learning Dynamic Renderable Volumes from Images.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Neural Volumes: Learning Dynamic Renderable Volumes from Images

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 09a4a410-2c50-492f-9505-ac935047664c · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 21

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Unavailable: canonical work link unavailable.

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Observation 4c51aa1c-e056-4a18-9966-9572565832b8 · outbound

This paper cites Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis

Reference 22

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Unavailable: canonical work link unavailable.

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Observation 05380670-f594-461c-a7a9-fe52c3f6e4cf · outbound

This paper cites Gta: A geometry-aware attention mechanism for multi-view transformers.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Gta: A geometry-aware attention mechanism for multi-view transformers

Reference 23

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Source-reported events for the cited work

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Observation e2945396-88ad-469c-9d49-2249f094f589 · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.ACM transactions on graphics (TOG), 41(4):1–15, 2022.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Instant neural graphics primitives with a mul- tiresolution hash encoding.ACM transactions on graphics (TOG), 41(4):1–15, 2022

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ca1b3afe-3a5f-4c0b-af6c-4df1f7c0fe05 · outbound

This paper cites Rendernet: A deep convolutional network for differentiable rendering from 3d shapes.Advances in neural information processing systems, 31, 2018.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Rendernet: A deep convolutional network for differentiable rendering from 3d shapes.Advances in neural information processing systems, 31, 2018

Reference 25

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Source-reported events for the cited work

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Observation 89393624-06a5-4ee1-9328-f1b4f31cb280 · outbound

This paper cites Reg- nerf: Regularizing neural radiance fields for view synthesis from sparse inputs.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Reg- nerf: Regularizing neural radiance fields for view synthesis from sparse inputs

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 89c2e96f-08a2-4dd5-a548-82421afb953b · outbound

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

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models DreamFusion: Text-to-3D using 2D Diffusion

Reference 27

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Source-reported events for the cited work

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Observation 40a4d4eb-12b5-49b6-b529-0fb1938b512d · outbound

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MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Unresolved cited work

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b138030f-1f1b-4c1c-b29f-2d385576a52c · outbound

This paper cites Vi- sion transformers for dense prediction.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Vi- sion transformers for dense prediction

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eba8e457-56ac-47c6-b0ee-f7ef86beaad7 · outbound

This paper cites Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 30

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Source-reported events for the cited work

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Observation 23335a8c-edd8-49c9-acdc-7e6b99857aa2 · outbound

This paper cites Scene representation transformer: Geometry-free novel view syn- thesis through set-latent scene representations.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Scene representation transformer: Geometry-free novel view syn- thesis through set-latent scene representations

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 54c8dd37-d68b-4409-87ef-08bf0afd1541 · outbound

This paper cites Deep- voxels: Learning persistent 3d feature embeddings.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Deep- voxels: Learning persistent 3d feature embeddings

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-07T15:26:24.541001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9d893512-fa07-498d-b2db-22996ec129f5 · outbound

This paper cites Scene representation networks: Continuous 3d- structure-aware neural scene representations.NeurIPS,.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Scene representation networks: Continuous 3d- structure-aware neural scene representations.NeurIPS,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T15:26:24.413919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 58ca1bc6-f74f-4517-963e-c7cf9d6df9a9 · outbound

This paper cites Implicit neural representa- tions with periodic activation functions.Advances in neural information processing systems, 33:7462–7473, 2020.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Implicit neural representa- tions with periodic activation functions.Advances in neural information processing systems, 33:7462–7473, 2020

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:20.083984Z digest=sha256:7be7b245b299babc44f438647188d7d54e8ceb0848644b66f5cbe5d7fe20c9ab

Observation 26eac5c0-5bf9-49e1-8fed-dc234a269234 · outbound

This paper cites Light field networks: Neu- ral scene representations with single-evaluation rendering.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Light field networks: Neu- ral scene representations with single-evaluation rendering

Reference 35

Resolution
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no resolver link, observed 2026-08-07T15:26:20.232376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:20.232376Z digest=sha256:a7deebfaad660103dd9ca64cdafce5f5a8da244e3b5c20b473a43520a8b752aa

Observation dabfb876-a409-437a-8a71-07f71df76be9 · outbound

This paper cites Generalizable patch-based neural render- ing.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Generalizable patch-based neural render- ing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:24.256723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:20.308732Z digest=sha256:53188cfed9869c58aa7bcb0710db2f240996217e9adb8f841cc9b49c396bf2a1

Observation eb6966ee-1747-4551-bc29-506737b63b03 · outbound

This paper cites Flash3d: Feed-forward gener- alisable 3d scene reconstruction from a single image.arxiv,.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Flash3d: Feed-forward gener- alisable 3d scene reconstruction from a single image.arxiv,

Reference 37

Resolution
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no resolver link, observed 2026-08-07T15:26:20.420234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:20.420234Z digest=sha256:4ebf2370dbc066bdb33edf4d9807ff53d2afb45d74b3853db9cd5d2960ca5522

Observation c10b29ab-95f9-491d-83c4-3a859d5ba141 · outbound

This paper cites Splatter image: Ultra-fast single-view 3d recon- struction.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Splatter image: Ultra-fast single-view 3d recon- struction

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:24.096885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:20.598851Z digest=sha256:800998bd74c39c330e460afbf08d9cd72832db1206b35486190241fa4dbb2de3

Observation d2c00dfc-d818-4e9e-b1f7-91c15dc65ba7 · outbound

This paper cites Block-nerf: Scalable large scene neural view synthesis.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Block-nerf: Scalable large scene neural view synthesis

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:23.900065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:20.783062Z digest=sha256:6f66267461d12bcd02ff63b924e178f4651af8c8a672c665d3ce27a8edb602a0

Observation d911df7e-9dee-4db5-8d35-25b3d57a2f32 · outbound

This paper cites HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:20.974700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:20.974700Z digest=sha256:76a66f234ba7c8a699911653360d5644fa5e6c037e3344d08a6c8fcf1675cc14

Observation a5b9571b-ec12-4389-82c4-2212e88d3896 · outbound

This paper cites Advances in neural rendering.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Advances in neural rendering

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:23.716777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:21.303778Z digest=sha256:89915870502df614f9c02169bb35246d1067e7fbc9a340a22a34817695c1ed03

Observation f87f551e-0f6d-4d9c-9b40-c54ae22002a4 · outbound

This paper cites Ibr- net: Learning multi-view image-based rendering.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Ibr- net: Learning multi-view image-based rendering

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:23.612814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:21.565790Z digest=sha256:0d0a89b5f444253e51c9ba76edffa385ae4f5e02f80a7549ebf3c02bdb97f9c1

Observation 68ad5c2b-b948-424b-801c-5c014a349656 · outbound

This paper cites FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:21.638109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:21.638109Z digest=sha256:7d096d883e264dfa281769a789ecdd358f5dd863876afcb1bd243ef60dbd54b9

Observation 23372d19-b56a-4173-a13f-759c21a54756 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.TIP, 13(4), 2004.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Image quality assessment: from error visibility to structural similarity.TIP, 13(4), 2004

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:23.456454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:21.707781Z digest=sha256:34ffb3c3ca8adf6600bb0cd62160d9bed0bd839fc53af71f0f7e79afd022d69d

Observation 5666613f-a8b7-484c-8000-9d5d4c022422 · outbound

This paper cites latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:21.764106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:21.764106Z digest=sha256:f0b071186d8f5a3106dd7d5c74799b88bf20077d632d16ce1352ceb95180cbc4

Observation 958e51a5-ef43-4bbe-b65c-1a41069ed1fd · outbound

This paper cites Neural fields in visual computing and beyond.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Neural fields in visual computing and beyond

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:23.318087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:21.806981Z digest=sha256:602c505118485c8e30aa8d0eae96e0cb6bb410b32c71fdbabc5b5d707e9db4a0

Observation 12170342-66d7-4bba-a639-32ce2d40d3ec · outbound

This paper cites Murf: Multi-baseline radiance fields.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Murf: Multi-baseline radiance fields

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:23.085608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:21.890412Z digest=sha256:d5761785e74feadf729a5d28caa85781e6dea2b05bca0c73fdc7a79440706790

Observation 0929143c-6f72-4b9f-bb13-90d641665431 · outbound

This paper cites DepthSplat: Connecting Gaussian Splatting and Depth.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models DepthSplat: Connecting Gaussian Splatting and Depth

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:21.956652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:21.956652Z digest=sha256:db52bdf6390ff5d1cd7605413cf3013f70e548beed1fc63fb6600b510027f199

Observation 9fef7519-df74-4cd7-a2d4-c1f26317a9a5 · outbound

This paper cites Vr-nerf: High- fidelity virtualized walkable spaces.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Vr-nerf: High- fidelity virtualized walkable spaces

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:22.000817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:22.000817Z digest=sha256:df1b325475f4b9d415038077db07599abcf7d801ffc5889ec1b9c39ce6bf5d7d

Observation 6816a97b-69dc-4523-96ac-28e40db4bed3 · outbound

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

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Depth anything: Unleashing the power of large-scale unlabeled data

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:22.983648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:22.080121Z digest=sha256:3da35742bcb06b935df67f571b6fd96bd01c063d39718849f5c1352bf779dfb7

Observation e3745454-c5d6-4ca6-ada2-26469f3e0fda · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models pixelnerf: Neural radiance fields from one or few images

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:22.898034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:22.157562Z digest=sha256:62fd96599b3d6d3cbfc7283b243900023b04a86a3a8fa443f3c4742c036c26a0

Observation 52f12f95-3727-43b8-9653-6d7508056086 · outbound

This paper cites TranSplat: Generalizable 3D Gaussian Splatting from Sparse Multi-View Images with Transformers.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models TranSplat: Generalizable 3D Gaussian Splatting from Sparse Multi-View Images with Transformers

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:22.203439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:22.203439Z digest=sha256:4872f80f092230c80a568062fde83c3c16940932d764c0067fa31802453c699b

Observation b7cb3758-f98f-4690-956e-cdb5e5a0802c · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models The unreasonable effectiveness of deep features as a perceptual metric

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:22.273692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:22.273692Z digest=sha256:4821accc9f3264aaa1a18660a4275d64b77d78efd843171d2c41094ac60b84e4

Observation 0a9e7600-87e0-4ea4-9af3-fa29f2097018 · outbound

This paper cites Gps- gaussian: Generalizable pixel-wise 3d gaussian splatting for real-time human novel view synthesis.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Gps- gaussian: Generalizable pixel-wise 3d gaussian splatting for real-time human novel view synthesis

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:22.327749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:22.327749Z digest=sha256:370622a14ad912682cb31a7dc3d403dcd146fce30936b6898f35b31ad92010bf

Observation 5b723435-c855-48f1-a3e9-a0d510d8ca93 · outbound

This paper cites Stereo magnification: learning view syn- thesis using multiplane images.TOG, page 65, 2018.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models Stereo magnification: learning view syn- thesis using multiplane images.TOG, page 65, 2018

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:26:22.741947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T15:26:22.370033Z digest=sha256:28667cfc393ab23d349c5c53a445e04a9a3f7894e840397983038a4c47232e2b

Observation ac99c0d3-2910-4548-8ccc-5fd9338f8089 · outbound

This paper cites FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting.

MonoSplat: Generalizable 3D Gaussian Splatting from Monocular Depth Foundation Models FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:22.448848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:22.448848Z digest=sha256:411638d1d13fce66e3647d3bbcc853dae080c3083a03405cf49ec9d35b52235b

Pith citing papers

No inbound Pith citation observations are available.