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Paper Citation Record · LEDGER

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.22147.

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

pith.paper-citation-record.v1
2607.22147 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:42:17.753100Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

43 of 43 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a694867-591c-4786-b3c8-da30838cf3b3 · outbound

This paper cites Present and future of slam in extreme environments: The darpa subt challenge,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Present and future of slam in extreme environments: The darpa subt challenge,

Reference 1

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Observation 7f99d5b9-5ee0-4815-8d6d-68fd2e10f925 · outbound

This paper cites Slam for autonomous planetary rovers with global localization,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Slam for autonomous planetary rovers with global localization,

Reference 2

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Observation 216d7f1b-0507-4357-a632-8e597e025346 · outbound

This paper cites Challenges of slam in extremely unstructured environments: the dlr planetary stereo, solid- state lidar, inertial dataset,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Challenges of slam in extremely unstructured environments: the dlr planetary stereo, solid- state lidar, inertial dataset,

Reference 3

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Observation f386989d-5da1-4506-b4c4-2c67d9bd982e · outbound

This paper cites What is the best 3d scene representation for robotics? from geometric to foundation models,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis What is the best 3d scene representation for robotics? from geometric to foundation models,

Reference 4

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source=pdf_text observed=2026-08-01T05:42:15.160301Z digest=sha256:3fdfe7b30fd68754fa414b63b721c6c3165a02e479bf08245e7ae505319339c3

Observation 412e8c64-40ff-4b71-a7b4-935d11853e78 · outbound

This paper cites How nerfs and 3d gaussian splatting are reshaping slam: a survey,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis How nerfs and 3d gaussian splatting are reshaping slam: a survey,

Reference 5

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Observation adcd2f91-dd07-4c07-aaa4-c78e277aeece · outbound

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

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis 3d gaussian splatting for real-time radiance field rendering

Reference 6

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source=pdf_text observed=2026-08-01T05:42:15.263141Z digest=sha256:d7bf485b00454ef33323298a18fc8ef8cce590688c4a316cb22c34b8b8bd2cd7

Observation 0aec219d-b009-4d48-b2b4-e730227feff7 · outbound

This paper cites The s3li vulcano dataset: A dataset for multi-modal slam in unstructured planetary environments,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis The s3li vulcano dataset: A dataset for multi-modal slam in unstructured planetary environments,

Reference 7

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Observation 00d45b61-ac55-4e85-9a1e-c8f1759473cd · outbound

This paper cites Visual place recognition: A tutorial [tutorial],.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Visual place recognition: A tutorial [tutorial],

Reference 8

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source=pdf_text observed=2026-08-01T05:42:15.412673Z digest=sha256:888083ecdd9275eac0982be276b772d3032cdc37ee0973386dbfbcde79b54e92

Observation 8a3d7dbb-1001-4612-8697-c2edfc9e972f · outbound

This paper cites Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam,

Reference 9

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source=pdf_text observed=2026-08-01T05:42:15.499126Z digest=sha256:a7d347a5ba5560966ca47326a8309853a7caaff8783717cad4b7e50bb8cbd580

Observation f59e9dd7-86d1-4754-9c07-78161f146b7b · outbound

This paper cites Bags of binary words for fast place recognition in image sequences,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Bags of binary words for fast place recognition in image sequences,

Reference 10

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source=pdf_text observed=2026-08-01T05:42:15.559718Z digest=sha256:6e410a0b6ac0e1a5f4ee508fa30a620262a092e16093f2bdb182ccbdbd847979

Observation 1504fc11-fa32-4835-8a39-3dcf0ec4b961 · outbound

This paper cites Epnp: An accurate o(n) solution to the pnp problem,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Epnp: An accurate o(n) solution to the pnp problem,

Reference 11

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source=pdf_text observed=2026-08-01T05:42:15.643923Z digest=sha256:f222549eb8aa8e3012b5eb1212ebeb13187c5d29ab6b46eb8e891c3f81eb71c0

Observation 2c506b64-7fda-44da-a6fd-fdaeafd54b8b · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 12

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source=pdf_text observed=2026-08-01T05:42:15.693283Z digest=sha256:d7e3cd74e3ec5f47537a6e6a486cb6f09eafa56bd59ead77d969ea31eec7ce36

Observation fafce664-33db-491b-bb9d-74e5bee12e14 · outbound

This paper cites Optimal transport aggregation for visual place recognition,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Optimal transport aggregation for visual place recognition,

Reference 13

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source=pdf_text observed=2026-08-01T05:42:15.805107Z digest=sha256:a0c24888e48d2fb64585d84833ec3f012cdd088bc2283bfcae117ddb877439a4

Observation 8db665d0-a460-4127-b727-1c3c58f38df2 · outbound

This paper cites Vggt: Visual geometry grounded transformer,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Vggt: Visual geometry grounded transformer,

Reference 14

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source=pdf_text observed=2026-08-01T05:42:15.874312Z digest=sha256:a85c38bea1df08155d7643fccf5423c16d2c1ca9769eebe8bf4bb296efb8b3a8

Observation ea1bcedb-8ead-42ba-9f1d-a2b21ec40f16 · outbound

This paper cites VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold

Reference 15

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source=pdf_text observed=2026-08-01T05:42:15.954136Z digest=sha256:2680618d24831d58a1a0906c89005f63a97a25849a01a97781848b30b383d15b

Observation 4815f768-ec15-48a9-b62a-b0ea9a090f03 · outbound

This paper cites Bow3d: Bag of words for real-time loop closing in 3d lidar slam,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Bow3d: Bag of words for real-time loop closing in 3d lidar slam,

Reference 16

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source=pdf_text observed=2026-08-01T05:42:16.018100Z digest=sha256:594a896493bd45136e68dc455256ed6e0eb2d6e5591a3a1c786805e9f28518d8

Observation 0c13f64d-8872-40b9-b677-ad14546e7525 · outbound

This paper cites Lcdnet: Deep loop closure de- tection and point cloud registration for lidar slam,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Lcdnet: Deep loop closure de- tection and point cloud registration for lidar slam,

Reference 17

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source=pdf_text observed=2026-08-01T05:42:16.085116Z digest=sha256:2b212477a2ba5ce1be7c7d6ce250d5c50d10bb58150602b9d503a3d5d9ce472b

Observation 4122f0ae-3e0d-4c90-9111-0b4e26707e25 · outbound

This paper cites Fast and accurate deep loop closing and relocalization for reliable lidar slam,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Fast and accurate deep loop closing and relocalization for reliable lidar slam,

Reference 18

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source=pdf_text observed=2026-08-01T05:42:16.155717Z digest=sha256:094dff9a3353784d72700076a3aa923a002947bb1e5b3f71e5bd16d486aebabe

Observation 45b8cb18-5e41-469d-a3f0-e63e6cbb95f2 · outbound

This paper cites PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

Reference 19

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source=pdf_text observed=2026-08-01T05:42:16.235555Z digest=sha256:1c73544be1e6775927c0e80008396ed35976a718e6c66f888892171ee175673f

Observation 0d46b027-b5b4-4cdf-b375-94a92727d71a · outbound

This paper cites Understanding the limitations of cnn-based absolute camera pose regression,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Understanding the limitations of cnn-based absolute camera pose regression,

Reference 20

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Observation a7c877d6-2323-43a2-97f9-18fccd9d51b6 · outbound

This paper cites Advances in neural rendering,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Advances in neural rendering,

Reference 21

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Observation 21acf39d-dff8-491a-85b7-8a57fc35dfae · outbound

This paper cites View interpolation for image synthesis,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis View interpolation for image synthesis,

Reference 22

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source=pdf_text observed=2026-08-01T05:42:16.441499Z digest=sha256:4bf4d781cf761e129e55a7baf0ae0c43a8ab1e8e5a4ff33ab406d412d67bb69a

Observation 55a73212-845f-464a-b6e6-3b72f138623c · outbound

This paper cites View morphing,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis View morphing,

Reference 23

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source=pdf_text observed=2026-08-01T05:42:16.523175Z digest=sha256:25fbd6e556d0b8b65f62abc1e5f2a6ecb9dcd0a4daf77c6b082725c7bf2d68e0

Observation ac3b1836-855a-4343-a930-aab4db19a2b8 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 24

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source=pdf_text observed=2026-08-01T05:42:16.586647Z digest=sha256:b8352271924c5878f5be11bcc5fc6920158383d582a0c2a293927474033831e5

Observation c37f2f5a-2167-4f54-be9d-18125c32d648 · outbound

This paper cites Mvsgaussian: Fast generalizable gaussian splatting reconstruc- tion from multi-view stereo,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Mvsgaussian: Fast generalizable gaussian splatting reconstruc- tion from multi-view stereo,

Reference 25

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source=pdf_text observed=2026-08-01T05:42:16.649487Z digest=sha256:3492e85979033bb384b72ec360a9224d286a17aeea95746bf5ebd20b4579e7ef

Observation 195c5d1a-7864-4da0-881f-3309c505ebab · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images,

Reference 26

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source=pdf_text observed=2026-08-01T05:42:16.714299Z digest=sha256:db2b9c5af8b8283ca232ca6bbd4f940fffaf754a40d92a0b689046f8ea18f28a

Observation 73661a33-f92d-4e12-af65-2ccea035942a · outbound

This paper cites Sparse2dgs: Sparse-view surface reconstruction using 2d gaussian splatting with dense point cloud,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Sparse2dgs: Sparse-view surface reconstruction using 2d gaussian splatting with dense point cloud,

Reference 27

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source=pdf_text observed=2026-08-01T05:42:16.764378Z digest=sha256:8516c7f05f027da851c366d1cb6f8e75dce677bf660e4369f12d0ce44af46cc8

Observation 479fd362-35fc-47d8-bf3d-4d274468cebc · outbound

This paper cites Drivinggaussian: Composite gaussian splatting for surrounding dy- namic autonomous driving scenes,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Drivinggaussian: Composite gaussian splatting for surrounding dy- namic autonomous driving scenes,

Reference 28

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source=pdf_text observed=2026-08-01T05:42:16.827734Z digest=sha256:1ce569b9bf96f1d144d709cb85dc5a7a3960e03ba9a11d68171c6dd38ec4ec96

Observation f902ef4a-59bf-4a86-84fd-fbdfc90d2469 · outbound

This paper cites Street gaussians: Modeling dynamic urban scenes with gaussian splatting,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Street gaussians: Modeling dynamic urban scenes with gaussian splatting,

Reference 29

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source=pdf_text observed=2026-08-01T05:42:16.874125Z digest=sha256:7d18d086bb528bb4b13a51d9b4f07a4191855cb252e6005716aa9fea41ac00ef

Observation 0b4af51f-c659-4977-a1f4-93baab339e2a · outbound

This paper cites A constrained optimization approach for gaussian splatting from coarsely-posed images and noisy lidar point clouds,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis A constrained optimization approach for gaussian splatting from coarsely-posed images and noisy lidar point clouds,

Reference 30

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source=pdf_text observed=2026-08-01T05:42:16.932557Z digest=sha256:422728aed17afbf406a59b397233f0137ca90309890343f211713ac62b32a6d1

Observation bbcb0870-168e-4428-bb09-f89084b581e5 · outbound

This paper cites iNeRF: Inverting neural radiance fields for pose estimation,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis iNeRF: Inverting neural radiance fields for pose estimation,

Reference 31

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source=pdf_text observed=2026-08-01T05:42:16.997843Z digest=sha256:c9c84df7edb3bd777a0460f41601dd46e195eb9aab0e59fff271cb0f6647bf34

Observation e673e2ad-971a-4799-9a4f-82d92b385c21 · outbound

This paper cites 6dgs: 6d pose estimation from a single image and a 3d gaussian splatting model,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis 6dgs: 6d pose estimation from a single image and a 3d gaussian splatting model,

Reference 32

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source=pdf_text observed=2026-08-01T05:42:17.050130Z digest=sha256:6d0d17ddc1dfe0efd58cce5ca07e237da5d37dc3790ba730157776cf64aa05d9

Observation bafa016d-34b1-4846-9779-1602bbd4e8e5 · outbound

This paper cites Gs-lidar: Generating realistic lidar point clouds with panoramic gaussian splatting,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Gs-lidar: Generating realistic lidar point clouds with panoramic gaussian splatting,

Reference 33

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source=pdf_text observed=2026-08-01T05:42:17.154634Z digest=sha256:d7f8463a188aaad6254cd92e69cad502dc26eaedbcc2b884ce124a4fd780eb65

Observation 059c954c-a598-4a21-b563-1f6bf1bab918 · outbound

This paper cites Splatad: Real-time lidar and camera rendering with 3d gaussian splatting for autonomous driving,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Splatad: Real-time lidar and camera rendering with 3d gaussian splatting for autonomous driving,

Reference 34

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source=pdf_text observed=2026-08-01T05:42:17.191006Z digest=sha256:1151a4307b1b11a48dfd26a7ac97c7e5442fe8db7c83c1fc7aac890185877e89

Observation a66ab8b9-dd2c-4fb8-bc63-479810873c61 · outbound

This paper cites Gaussian splatting slam,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Gaussian splatting slam,

Reference 35

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source=pdf_text observed=2026-08-01T05:42:17.268442Z digest=sha256:4b747e04814a1d5e4ca4df6c89d3f2c452cd10d9e55e0728c6d1f289c357ad8b

Observation 191a92fa-8875-4256-b88e-77e130e2ea31 · outbound

This paper cites Loopsplat: Loop closure by registering 3d gaussian splats,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Loopsplat: Loop closure by registering 3d gaussian splats,

Reference 36

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source=pdf_text observed=2026-08-01T05:42:17.330777Z digest=sha256:d028a0ded13118578ce8ce636afcb716fe7988a14eddf40729d2e051873596b8

Observation f65839e2-d9bf-49fe-97ea-1dadb39c597c · outbound

This paper cites Mm3dgs slam: Multi-modal 3d gaussian splatting for slam using vision, depth, and inertial measurements,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Mm3dgs slam: Multi-modal 3d gaussian splatting for slam using vision, depth, and inertial measurements,

Reference 37

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Observation d8f9558f-b6c7-4ea7-b472-4a8762f4c1b8 · outbound

This paper cites Mvsanywhere: Zero-shot multi-view stereo,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Mvsanywhere: Zero-shot multi-view stereo,

Reference 38

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Observation 4c6f49b5-9350-4c82-84ad-9489c0e81e9a · outbound

This paper cites Multi- modal loop closure detection with foundation models in severely unstructured environments,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Multi- modal loop closure detection with foundation models in severely unstructured environments,

Reference 39

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Observation 9f891523-b2d9-425e-8d51-f81c93804588 · outbound

This paper cites The faiss library,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis The faiss library,

Reference 40

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Observation 2aff043a-a32f-4efa-9130-47eb35266d93 · outbound

This paper cites Multi-modal loop closing in unstructured planetary environments with visually enriched submaps,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Multi-modal loop closing in unstructured planetary environments with visually enriched submaps,

Reference 41

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Observation ff194b63-52fc-42a2-b267-7e1e3e1f74d1 · outbound

This paper cites Superpoint: Self- supervised interest point detection and description,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Superpoint: Self- supervised interest point detection and description,

Reference 42

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Observation 7ab8c551-265e-4ea0-8c45-33932c7c54a4 · outbound

This paper cites Su- perglue: Learning feature matching with graph neural networks,.

Visual Relocalization from Sparse Views in Aliased and Low-Texture Environments via Novel View Synthesis Su- perglue: Learning feature matching with graph neural networks,

Reference 43

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