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Paper Citation Record · LEDGER

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis

As of 22 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 3 inbound Pith citation observations for arXiv:2603.20176.

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

pith.paper-citation-record.v1
2603.20176 v3

Coverage vector

measured 97 of 97 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T21:39:45.781509Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:13:49.906070Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:13:54.001414Z

Reference resolution

97 of 97 outbound references displayed

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  • verified fuzzy0
  • unresolved97
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ca15f7f-135c-42ba-b51a-81751e52cd5f · outbound

This paper cites Adelson and R.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Adelson and R

Reference 1

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:8a6f376d0a3ff8bd8a54587fd3c758d4cdffb031182d1759e0e8c5f330db8029

Observation 564eccf4-b54c-4b25-95d3-9273f0936667 · outbound

This paper cites PyTorch 2: Faster machine learning through dynamic Python bytecode transformation and graph compilation.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis PyTorch 2: Faster machine learning through dynamic Python bytecode transformation and graph compilation

Reference 2

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:f9611cebc7ae2f5e6d0f6a6fae23f62c82d037cf369e894a95c8c8e7bfa894c0

Observation d73b6ebe-b45f-434c-b082-397c133d9b64 · outbound

This paper cites Layer Normalization.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Layer Normalization

Reference 3

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Observation dbf2e0da-45d2-4d63-9233-51c2753f21d7 · outbound

This paper cites Lindell, Zan Gojcic, Sanja Fidler, Huan Ling, Jun Gao, and Xuanchi Ren.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Lindell, Zan Gojcic, Sanja Fidler, Huan Ling, Jun Gao, and Xuanchi Ren

Reference 4

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:c0d2d41487a7be7af7a42c9150541a02d3a23621c21260085f87824eaa111fe6

Observation d73e0c4c-0553-4920-9f31-be10fa633789 · outbound

This paper cites ReCamMaster: camera-controlled gen- erative rendering from a single video.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis ReCamMaster: camera-controlled gen- erative rendering from a single video

Reference 5

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Observation 02da0137-8bd1-40cf-b086-c24234e6eedc · outbound

This paper cites ARK- itscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB-d data.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis ARK- itscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB-d data

Reference 6

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Observation 9b4dd8ac-2886-4173-99ec-bef0c35dcfc6 · outbound

This paper cites Gortler, and Michael F.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Gortler, and Michael F

Reference 7

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:699d928808c3271377246e0d53f747b51ea24a62f72f3bc43e9f346e8291c237

Observation 65c6d4e3-670c-4f1e-aae0-8ab3b15a7173 · outbound

This paper cites Chan, Koki Nagano, Matthew A.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Chan, Koki Nagano, Matthew A

Reference 8

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:3095dafd0d6b2ae91e66224eba9e1eaeedc6fdac2eb4dc812c0f093fadaa8b03

Observation e09bd141-f242-452c-b9bb-68046efeadb1 · outbound

This paper cites pixelSplat: 3D Gaussian splats from image pairs for scalable generalizable 3D reconstruction.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis pixelSplat: 3D Gaussian splats from image pairs for scalable generalizable 3D reconstruction

Reference 9

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:32215f212feff5dd1e299a025952aae5c1b30699c704cfece982c306bf09f1c0

Observation e77b41f6-f782-4527-ac7e-13c4af070678 · outbound

This paper cites MVSNeRF: Fast generalizable radiance field reconstruction from multi-view stereo.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis MVSNeRF: Fast generalizable radiance field reconstruction from multi-view stereo

Reference 10

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:1a39c766682cde5463bd473a27201188e941b8fbf08ccf5cbdac44e17ed8d631

Observation 4a911ded-568a-474a-8384-27ffd5f840f1 · outbound

This paper cites MVSplat: efficient 3D gaussian splatting from sparse multi-view images.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis MVSplat: efficient 3D gaussian splatting from sparse multi-view images

Reference 11

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:003e9501ce9f1c906542c101aab0f43255a4883ff2324eeffdbf656c7214386a

Observation c6cb121f-b719-4dda-88ed-1c1af6785972 · outbound

This paper cites MVS- plat360: Feed-forward 360 Scene Synthesis from Sparse Views.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis MVS- plat360: Feed-forward 360 Scene Synthesis from Sparse Views

Reference 12

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:53d3c39f1ce823c2f44267678b42586d3f0dbcc851fc15e9c0dac20ed057996a

Observation 91fd7140-b6cc-43eb-b8a9-8743c6a49aa1 · outbound

This paper cites FlashAttention-2: Faster attention with better par- allelism and work partitioning.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis FlashAttention-2: Faster attention with better par- allelism and work partitioning

Reference 13

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:78de50d5e7f87b072623d656d63f3c0f7c9a6e29fea3af3051fc98de3d9dfbc3

Observation 52cdc66a-6c18-4a82-a720-e32b61e11116 · outbound

This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher R´e.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Fu, Stefano Ermon, Atri Rudra, and Christopher R´e

Reference 14

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:51cc8a6d5f3e218cb462a5cec76fc6c58ce0f18616dab00136267b95d6ffa385

Observation f05d7fdd-4818-425f-899d-101bf9b6a4cb · outbound

This paper cites Vision transformers need registers.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Vision transformers need registers

Reference 15

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:f93acfac3d830fce99e5624219bf8684b180fcb4e1b08636eaf05ffb660631be

Observation 655af75e-e1e1-4287-9f2b-f98b4d7ed35b · outbound

This paper cites an unresolved cited work.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Unresolved cited work

Reference 16

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:7c9416cbc9ff8e3f7a75452b8d7de75ab7c3beb16c833b204b85d075d35811c0

Observation 5b4c78a4-e196-415b-8f9e-aff01b80fa3c · outbound

This paper cites An image is worth 16×16 words: Transformers for image recognition at scale.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis An image is worth 16×16 words: Transformers for image recognition at scale

Reference 17

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:1e0246550683a103f13491cdc0cc959cf71d054a09e9ff8057ec69c7dab188d2

Observation 000bda6c-1121-41a0-ab12-6e049d16c1c3 · outbound

This paper cites MASt3R-SfM: a fully-integrated solution for unconstrained structure-from-motion.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis MASt3R-SfM: a fully-integrated solution for unconstrained structure-from-motion

Reference 18

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:10a67c677bfa66adb5dd9dc729f2c943dbd92ab1c83740264c6723fd4153ecf9

Observation 61d052c4-fe94-4f25-a10d-79c49ff7be19 · outbound

This paper cites Sigmoid- weighted linear units for neural network function approxima- tion in reinforcement learning.Neural Networks, 107, 2018.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Sigmoid- weighted linear units for neural network function approxima- tion in reinforcement learning.Neural Networks, 107, 2018

Reference 19

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:9bb2e2fc38672fcade9f45692aebc16632cfff86e0133eb422ff0ebf77f5178e

Observation 0e43283a-2f77-4716-8730-1ac6ce17e712 · outbound

This paper cites FlowR: flowing from sparse to dense 3d re- constructions.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis FlowR: flowing from sparse to dense 3d re- constructions

Reference 20

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:aec5f1bb01afcdb89176b9439880f46341b8b41ad7e79511bc9037123ad4a63f

Observation c3b50c63-a025-40c7-be51-10bdb4eb8880 · outbound

This paper cites Barron, and Ben Poole.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Barron, and Ben Poole

Reference 21

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:66c384376ec9ae1fc67197a8d6d5317fdca4271f6682d058997a2354a6cf68fd

Observation d61515f6-cd88-479f-a40f-dff5e6ad930c · outbound

This paper cites Gortler, Radek Grzeszczuk, Richard Szeliski, and Michael F.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Gortler, Radek Grzeszczuk, Richard Szeliski, and Michael F

Reference 22

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:85a3acbeda119745495742a6e988057ae661ff5eae9256036f5ff24392d7d108

Observation a787498e-4fc8-41a4-a70a-20874bd5e444 · outbound

This paper cites NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion

Reference 23

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:65bf030b0fe7895fdf6c36f8f2c518442bcb5ce1cdff4f1da7fb30a95a9a45ab

Observation 77396c25-53e9-49b0-90dd-03a68cb6f1c8 · outbound

This paper cites Query-key normalization for transformers.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Query-key normalization for transformers

Reference 24

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:26311a4b9aca00f2c4f16f6d7c6fc49873b9e2593985a8c839a5d2aee6827322

Observation 5ab5ce7b-3055-421e-928f-47f3dc8ef55b · outbound

This paper cites Denoising diffu- sion probabilistic models.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Denoising diffu- sion probabilistic models

Reference 25

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:668e2938047b6f0fcaff4f20a494d68fc89eda692056850d0cde86aa0acae3d5

Observation 3f69d78a-87a2-4a84-9434-576b12d7c0d4 · outbound

This paper cites Unifying corre- spondence, pose and nerf for generalized pose-free novel view synthesis.Proc.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Unifying corre- spondence, pose and nerf for generalized pose-free novel view synthesis.Proc

Reference 26

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:16e57334f8ed948192bda3206967643bb412c87b13279e9e7d38a035be92088e

Observation 708c8000-a944-4ceb-8ad8-943f047f2b5d · outbound

This paper cites sim- ple diffusion: End-to-end diffusion for high resolution im- ages.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis sim- ple diffusion: End-to-end diffusion for high resolution im- ages

Reference 27

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:ec6d6a5b2f2317f12e1c043ed45f17d4f302422b3dfad1cf79cd3fbd46ea3026

Observation fdab7530-d830-442b-8e90-75bb01bb38ff · outbound

This paper cites Generative camera dolly: Ex- treme monocular dynamic novel view synthesis.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Generative camera dolly: Ex- treme monocular dynamic novel view synthesis

Reference 28

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:6d1b2b55a50de3580d082e7a40a73bf63574ac554c2f48b80e416c958fc3ae3d

Observation 6c66f709-5cd2-414f-981a-26c9b39bc64b · outbound

This paper cites DeepMVS: Learning multi-view stereopsis.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis DeepMVS: Learning multi-view stereopsis

Reference 29

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:95395624c4e8badcb8d6d6601bb970753a8900bcb89ce5e0287112cd2cc253d2

Observation 1737a0ba-99fb-4336-867c-05aa0a093296 · outbound

This paper cites LVT: large- scale scene reconstruction via local view transformers.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis LVT: large- scale scene reconstruction via local view transformers

Reference 30

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:833baa55e389a5b8e808aa02d94ba85efb9b649269ca46aba719a4c62cbd4913

Observation 6270b60e-26ac-4772-a3cd-96a64116e212 · outbound

This paper cites Stable virtual camera: Generative view synthesis with diffusion models.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Stable virtual camera: Generative view synthesis with diffusion models

Reference 31

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:2dc259fbfc069d875834c0aa14416f0c247ad13462180d7a06c37ccde02d8294

Observation c7c47166-5bf7-4755-b8de-eda2aa311581 · outbound

This paper cites RayZer: a self-supervised large view synthesis model.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis RayZer: a self-supervised large view synthesis model

Reference 32

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:b9b41a0208839e37639b9cdb38938788369b50c978301532a1b37d13ca26e491

Observation f0441a93-68ba-4566-87ff-5e38a8a805e0 · outbound

This paper cites AnySplat: feed-forward 3D Gaussian Splatting from unconstrained views.ACM Trans.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis AnySplat: feed-forward 3D Gaussian Splatting from unconstrained views.ACM Trans

Reference 33

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:7bf548ce028fc5359948871ef42c5bb8c19b2ef6e2a82434a0372bce3f8fc8a6

Observation ac7b6cd3-e98e-44df-9031-c65a71fcec44 · outbound

This paper cites LVSM: a large view synthesis model with minimal 3D inductive bias.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis LVSM: a large view synthesis model with minimal 3D inductive bias

Reference 34

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:103209efefeb29863d9763a1608b4bdb8a0c78a71d610f566dbbf7932de67847

Observation ec994c9e-9c8a-4f32-9da5-f71a30fd3638 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Perceptual losses for real-time style transfer and super-resolution

Reference 35

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:593d1805aef23c05ded780ae27a560e2e3102b0c95775fc95e988927248a5796

Observation 7282d3f3-0a65-4e1e-b9e9-a84d2de4cf06 · outbound

This paper cites 3D Gaussian Splatting for real-time radiance field rendering.Proc.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis 3D Gaussian Splatting for real-time radiance field rendering.Proc

Reference 36

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:728a79491b011c5650230fb6d9bcff4146c52236f39b714d55f89d3641589542

Observation abf749c4-5760-4894-a08e-27012247bb2a · outbound

This paper cites 3D Gaussian Splatting for Real-Time Radiance Field Rendering.ACM Trans.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis 3D Gaussian Splatting for Real-Time Radiance Field Rendering.ACM Trans

Reference 37

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:4c03af504b1135f0554b696c74425559fc9435b382f47e3f970ef5947eedf12f

Observation 62cfe695-7651-42ba-888c-f38b4de195c4 · outbound

This paper cites Mitchel, and Vincent Sitzmann.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Mitchel, and Vincent Sitzmann

Reference 38

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:6fbd88d2bf28ae730c53f3fbad52cc70767197d04dd85d91e05998d34339ceba

Observation 3fe543b8-9365-4d6d-b3b4-84279a57e7ac · outbound

This paper cites EDEN: Multimodal Synthetic Dataset of Enclosed garDEN Scenes.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis EDEN: Multimodal Synthetic Dataset of Enclosed garDEN Scenes

Reference 39

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:f676cb42f995aaa12ee12676544aded8f64942d72bdc1550b9a5c023d1b00868

Observation 4bf63af5-ff92-4051-a7c5-405cb06f403d · outbound

This paper cites Ground- ing Image Matching in 3D with MAST3R.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Ground- ing Image Matching in 3D with MAST3R

Reference 40

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:cd13513eac628b325d9ce51398527e94b2b3c81801af335f5e45bf0ef176b3cf

Observation 6c6a6b2c-7d44-4edc-8a0c-6d2986ebd8ac · outbound

This paper cites Pla- taniotis, Sergey Tulyakov, and Jian Ren.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Pla- taniotis, Sergey Tulyakov, and Jian Ren

Reference 41

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:3b46675f3d32d672a8c6f8bf10c0471f68e71fc85efde41c85ffe5580dccc8af

Observation 2c404558-da36-4fcb-ae1b-ef284366c9ea · outbound

This paper cites Vision transformer for nerf-based view synthesis from a single input image.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Vision transformer for nerf-based view synthesis from a single input image

Reference 42

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:4bae6c15d4d3b6afd34e6dbeb678276debd2207e8305c276ee498b0c3b9e95fb

Observation df8b2da1-4286-4d4b-a7f2-d0fe3160010c · outbound

This paper cites Common Diffusion Noise Schedules and Sample Steps are Flawed.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Common Diffusion Noise Schedules and Sample Steps are Flawed

Reference 43

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:adc310050314f226dfa9cfc7205d2c9edf8227a766d504c4f59e64b7d306fe62

Observation 628dfe70-5fc1-4974-b72e-c98fb0acc9ae · outbound

This paper cites DL3DV-10K: a large-scale scene dataset for deep learning-based 3d vision.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis DL3DV-10K: a large-scale scene dataset for deep learning-based 3d vision

Reference 44

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:e3c3859954aad77f4f0ea9931f66ba3a5e3f9eca00198c52a092e179b1055b07

Observation 80b10e27-9f64-4663-a80c-b0c0b26e9501 · outbound

This paper cites ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 45

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:aeb6458541dffb28b983ba3ea72ab84dce92fdf4cefe358072440c33feb8eb0e

Observation 18701615-11d7-4c0b-bba1-0ca07f6bc7cf · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3D object.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Zero-1-to-3: Zero-shot one image to 3D object

Reference 46

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:72b1b7ec2f20ccc5cfbea7de611bce26456fc30eaf1dbc5a7e9a7404098ec158

Observation 4b7d3cdb-eee3-4c85-bf6e-80b2cecf033d · outbound

This paper cites Zhang, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, and David Novotny.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Zhang, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, and David Novotny

Reference 47

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:c15a92bff8fbd426d710ac3178bef5ec39a5f805ac885315639cc61d411b31ba

Observation 763f8c56-b425-4cf1-94fa-02494264f0d4 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Srinivasan, Matthew Tancik, Jonathan T

Reference 48

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:a6309363e7dfbe2d3aac414dd155330b23d2a8fefa63004696294a13d5784028

Observation 9edbeb55-bdd6-41f9-8969-3f747d515d11 · outbound

This paper cites an unresolved cited work.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Unresolved cited work

Reference 49

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:8adc17ab4e4c4fdd37d41ed4b04730ff54b238ae2821f859d843a00139c14961

Observation 1faf4370-ad79-435c-9648-0b92d7300f9c · outbound

This paper cites Scalable diffusion models with transformers.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Scalable diffusion models with transformers

Reference 50

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:1c880fd6b93191420cdd0cdf48fc4c60be6eaaa2a8342423b43f70e72c0d197c

Observation 5abfa323-b4c3-4360-97ab-d43bdd9bb3de · outbound

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

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 51

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:641e78c27a47af5a943e96d8d442cefe19d01ef7c584d69285516332f64dde30

Observation d14ecf13-4f94-443d-911d-1149b51e2ace · outbound

This paper cites GEN3C: 3D-informed world-consistent video generation with precise camera con- trol.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis GEN3C: 3D-informed world-consistent video generation with precise camera con- trol

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:63b78847e0be0a5772db26af164482fbda72a29397804d743762a63e35ea8779

Observation 5a2652f8-7468-4f07-95f5-eba7e01ad203 · outbound

This paper cites Susskind.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Susskind

Reference 53

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:ff2b25b4513347f36543ba9765236ce2da0f5bc56cbcb9fe7cc80e359a1f9a2d

Observation 79863a58-d07d-4f1e-9ac9-b90ec175d158 · outbound

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

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis High-resolution image syn- thesis with latent diffusion models

Reference 54

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:c50596548050c25b6c1d7d386e8f350fce55a63e8c9506e6bcf1e1dcfd4b88b9

Observation ced09647-1aa9-4df8-bdd4-0f2bd3d71868 · outbound

This paper cites Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations

Reference 55

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:260c82dc846134e0efa6f4f8aac6ac79e45eef1322c3d57a424df3207600ab5e

Observation fdca95a8-29e7-47f8-bb08-a54fdd5bde12 · outbound

This paper cites an unresolved cited work.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Unresolved cited work

Reference 56

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:519467731df2cbd1693e154d5cfcb46b826c543b58802123d748078d9ce9c5ed

Observation 60ec6075-9b66-4dcf-b01e-334968be32cb · outbound

This paper cites ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image

Reference 57

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:d4f19bd06537f194412df6fd11c3a29beca5136c8db439e3910b8f377602609e

Observation 961c6a09-224f-40c0-a906-32f6d73f0906 · outbound

This paper cites Structure-from-motion revisited.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Structure-from-motion revisited

Reference 58

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:1b111f4c372690fab0ac20f2ea7aad3634637441a1d475ea02cfceeee48faff6

Observation 6d39d845-9ca7-4c37-8430-429b581bca38 · outbound

This paper cites A benchmark and a baseline for robust multi- view depth estimation.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis A benchmark and a baseline for robust multi- view depth estimation

Reference 59

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:6c59fe1c7921490892a78525174560c3d48d97a2643b5380ca21253c1a75cb3c

Observation 259a6080-6598-42ac-8023-d9f37242cd66 · outbound

This paper cites FlashAttention-3: Fast and accurate attention with asynchrony and low-precision.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis FlashAttention-3: Fast and accurate attention with asynchrony and low-precision

Reference 60

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:0c55f583f925e345ce759788b38b650d798a62ea9ed82206ffffbd3d82d0b332

Observation b1cc3396-fcd4-4b0d-9594-1b64505b889c · outbound

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

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Light field networks: Neu- ral scene representations with single-evaluation rendering

Reference 61

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:4f9c114346946af25ee11aab444d357580ff2caed5ef1b49fbcce9cd15078b35

Observation 38d2bcc0-9d39-4f75-abb1-4ea4d09a69df · outbound

This paper cites Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs

Reference 62

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:4f095975806c3df0715e089ef561e40ed3bf7d6531fc475d443fbec18a6ad7f6

Observation 5ea40a2e-637d-4e86-b331-9a2896204c73 · outbound

This paper cites Denois- ing diffusion implicit models.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Denois- ing diffusion implicit models

Reference 63

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:ee7369c15c029682643589b80172335e0fdc637fdce440274af8f798110954a4

Observation 822dd83f-e394-4f1d-bb7f-a9dd5c5b2391 · outbound

This paper cites Highway networks.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Highway networks

Reference 64

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:f58ef10490a59357f79ec7a40c0d757eca5a69497278860279cd6bb459107af5

Observation 6ba69945-c8a3-41c3-bd1a-e09f87a97433 · outbound

This paper cites Splatter Image: Ultra-fast single-view 3D recon- struction.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Splatter Image: Ultra-fast single-view 3D recon- struction

Reference 65

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:7c90a821c221721af7c3d7c703f70d68942aad54aa0bd8b931e10d972dfb6f62

Observation 579ed18f-8000-4868-a70c-835e4941c349 · outbound

This paper cites Henriques, Christian Rup- precht, and Andrea Vedaldi.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Henriques, Christian Rup- precht, and Andrea Vedaldi

Reference 66

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:6bc29cf63694f732880896d9b675437deaf4ddf29da513a8551be1dcbf43a45d

Observation 541d0da4-4c4e-472a-9063-cb9a97b37f5c · outbound

This paper cites Zhang, Pratul Srinivasan, Ruiqi Gao, Arthur Brussee, Aleksander Holynski, Ricardo Martin-Brualla, Jonathan T.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Zhang, Pratul Srinivasan, Ruiqi Gao, Arthur Brussee, Aleksander Holynski, Ricardo Martin-Brualla, Jonathan T

Reference 67

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:e3cabd690eb5de1e4f80d4ddee31a0701fbb81e05619304e91e59afb165a3f0e

Observation f72b52a0-062a-4d2b-bf7a-1af75112f605 · outbound

This paper cites Camera pose and calibration from 4 or 5 known 3D points.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Camera pose and calibration from 4 or 5 known 3D points

Reference 68

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:db7f51fda72203b679b85b95f85c50632596a05abd89b9c21921485fb22fb502

Observation 5beb3608-a310-48cb-8e7b-98398afd0b90 · outbound

This paper cites an unresolved cited work.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Unresolved cited work

Reference 69

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:4b2d0b71995bc67e2e9dd637083370eda92e14dbd831cedd6de013cb282a3b83

Observation b3665457-aac1-4035-b250-75e7201f9548 · outbound

This paper cites Vggt: Vi- sual geometry grounded transformer.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Vggt: Vi- sual geometry grounded transformer

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:7643c5c286bbfceb7c5cfc94279974eea510d993666009e31e84f89414dd028e

Observation 790a8cdf-ef56-4242-a950-115e857d7bfb · outbound

This paper cites DUSt3R: Geometric 3D vision made easy.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis DUSt3R: Geometric 3D vision made easy

Reference 71

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:9b3f4ff477b53b4184b186e85666a98bf83722a27fe8532a3c715e2563219cf3

Observation 56263a65-14b5-423d-87e7-783df96d4b31 · outbound

This paper cites TartanAir: a dataset to push the limits of visual SLAM.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis TartanAir: a dataset to push the limits of visual SLAM

Reference 72

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:abb602e828173dfbd63b4b872e424276a53421103a98558f7443e0e0acec60a0

Observation 4a01cfe1-a065-4130-8c97-2d3759fab56d · outbound

This paper cites an unresolved cited work.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Unresolved cited work

Reference 73

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:1325cc8a9ab1d5878323de76bfa770aef94e56770a9ca9c0efcda0e6111272ba

Observation 7cd9c062-a9d7-4e33-92a3-7f54093e24e6 · outbound

This paper cites Bovik, Hamid R.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Bovik, Hamid R

Reference 74

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:9a6f255cb32a5591b2506ec58388cc668f1ca58626528ad037d3892a233eeb7b

Observation 74fb4b92-fc99-497b-af45-ec8eaceac3b6 · outbound

This paper cites Novel view synthesis with diffusion models.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Novel view synthesis with diffusion models

Reference 75

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:223f6ce0d23bc26935ff999bb26d6003a49d301552a9d8cada2acba3e07ffe1e

Observation a5423f9d-0093-4dcc-9b26-1285edcddb31 · outbound

This paper cites Srinivasan, Dor Verbin, Jonathan T.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Srinivasan, Dor Verbin, Jonathan T

Reference 76

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:d0f5582a8c4409e17c3c402ed39c4197c17c14ff4422ef43c32782b1ad8efec3

Observation 4e4cb062-24ff-4104-aa8b-b98371138e1b · outbound

This paper cites Barron, and Aleksander Holynski.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Barron, and Aleksander Holynski

Reference 77

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:fd0232e332fd9231669b961cc4e1f63d860764eecfb4a92e65e70a0efcac6515

Observation 34a41326-754c-40c0-ad6d-7de7d499c761 · outbound

This paper cites RGBD objects in the wild: Scaling real-world 3D object learning from RGB-D videos.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis RGBD objects in the wild: Scaling real-world 3D object learning from RGB-D videos

Reference 78

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:c44e748964a89968eff2c07b9b28e73d4af2dac37fd96a34dcc0bf064b11ac18

Observation 8af9d086-6ac9-4e48-b70c-433c8efb26bc · outbound

This paper cites GaussianRoom: improving 3D Gaussian splatting with SDF guidance and monocular cues for indoor scene reconstruc- tion.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis GaussianRoom: improving 3D Gaussian splatting with SDF guidance and monocular cues for indoor scene reconstruc- tion

Reference 79

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:5dc3172fb5f673a6abd3cd119161620ac6719b27ed3d73537007cb7098fc4ab6

Observation c9137cae-de71-4179-8c1e-08547ca79adc · outbound

This paper cites DepthSplat: Connecting Gaussian Splatting and Depth.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis DepthSplat: Connecting Gaussian Splatting and Depth

Reference 80

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:534b6bf23658cd9dcdf2003395cc092ed9b50398b557d2c9f624bf46d82bac1a

Observation ae8fab3e-ccb3-460a-9452-3acf4b4d8f32 · outbound

This paper cites Blendedmvs: A large- scale dataset for generalized multi-view stereo networks.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Blendedmvs: A large- scale dataset for generalized multi-view stereo networks

Reference 81

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:e0143e7d0c60298d32586450a720cbae96e1fd58cdf3917ff4c4b299131137db

Observation 64430a4d-7a37-48d3-b3b7-ae1ca15076d1 · outbound

This paper cites No Pose, No Prob- lem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis No Pose, No Prob- lem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images

Reference 82

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:6ef90182f7f449b81afd745f4d6f072a9c90abf6f0ec4e657f90a961ce830302

Observation 1b3773e5-7f5d-437c-826e-46ebfd178a4c · outbound

This paper cites Yonosplat: You only need one model for feedfor- ward 3d gaussian splatting.Proc.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Yonosplat: You only need one model for feedfor- ward 3d gaussian splatting.Proc

Reference 83

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:5625dff5ff3820fc63c8eb0c7c3e14d81c171c408fab1d2fad1544136cd192a0

Observation 1b13f073-1593-432c-a70a-ddab87fdf548 · outbound

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

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis PixelNeRF: Neural radiance fields from one or few images

Reference 84

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:56ddf2fac9a5815b9762940bbdf8be280941a0ca4747fd4c9ba0a6cbf1408f36

Observation a43202c3-0148-4300-b125-e3f005306f0b · outbound

This paper cites ViewCrafter: taming video diffusion models for high-fidelity novel view synthesis.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis ViewCrafter: taming video diffusion models for high-fidelity novel view synthesis

Reference 85

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:d92b228f38148cdf590380f1c7961a843271f3018a7e3a4c151838258ebf4f57

Observation 10140cf7-d927-47f7-a8ab-584b32b8a9db · outbound

This paper cites Shen, Leonidas J.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Shen, Leonidas J

Reference 86

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:3d9ba8f7f6571017dd60a090601df8bb65fc67dc124dc351255b0fbd6988d4c5

Observation 76300382-0305-47ad-b0c9-7ea2f69029fd · outbound

This paper cites Zhang, Amy Lin, Moneish Kumar, Tzu-Hsuan Yang, Deva Ramanan, and Shubham Tulsiani.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Zhang, Amy Lin, Moneish Kumar, Tzu-Hsuan Yang, Deva Ramanan, and Shubham Tulsiani

Reference 87

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no resolver link, observed 2026-07-13T21:39:45.781509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:62268abcbecc7828518fa2bd825258064ce05f5b2f7d3fe1c34d78657c4f34be

Observation e7be9b4c-d30b-4427-9f55-c3112f48ce2e · outbound

This paper cites GS-LRM: Large Re- construction Model for 3D Gaussian Splatting.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis GS-LRM: Large Re- construction Model for 3D Gaussian Splatting

Reference 88

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:6a187a7121cd7db16f64f9dc9075f1be34d69f421e97e520b7f6e12f8936cad6

Observation 129d0462-304c-43ff-8eaa-9acff0e2a4e2 · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Efros, Eli Shecht- man, and Oliver Wang

Reference 89

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:bcb26cb82c73d276790cc04e343a1d564d126a73f43a261e3886333f5de715d0

Observation bcb8d5da-99fe-422a-aade-5cf04aed6431 · outbound

This paper cites Flare: Feed-forward geometry, appearance and camera estimation from uncalibrated sparse views.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Flare: Feed-forward geometry, appearance and camera estimation from uncalibrated sparse views

Reference 90

Resolution
unresolved
no resolver link, observed 2026-07-13T21:39:45.781509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:dbd585ee97c0241217d82ddee3589c3aec9a4d4e5e56a9f853f21d742aa4afdf

Observation 3d607925-6580-40e7-9bec-b58dafc321eb · outbound

This paper cites Stereo magnification: Learning view syn- thesis using multiplane images.ACM Trans.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Stereo magnification: Learning view syn- thesis using multiplane images.ACM Trans

Reference 91

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:f82ab76f3b37b2f1c6615423de42b0301bf33de035f40e09e73b256a5b34b74b

Observation b946ba80-2f5c-4332-a7b9-e2836598555e · outbound

This paper cites camera token,.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis camera token,

Reference 92

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:1f2974b66d654a167372d19794b19669abdf728fe33ced09022c7feb1cf4deb1

Observation 2cd78e35-de70-45c8-8696-21c85619ced9 · outbound

This paper cites an unresolved cited work.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Unresolved cited work

Reference 93

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:55ffcaed44d5aca4268799300832627027e0397f376f13cc4a023ab0d2ee0f3f

Observation 3966ff34-7bf4-4bb1-a72f-67573ac84237 · outbound

This paper cites full atten- tion.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis full atten- tion

Reference 94

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:74db03763a0cfb6f82976718c1016e03b9b73f541f5b61b555e5e19ccb104bb3

Observation 8bf5638a-4db5-4205-83d9-d4f320616c41 · outbound

This paper cites an unresolved cited work.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis Unresolved cited work

Reference 95

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:47b5b4a6641a8c025d22937186c857fd1cdbd57120053d2beb4ddb1bde938352

Observation 312eb78b-c5d9-490f-bdc1-82f2b7dc8cda · outbound

This paper cites • We choose aλ.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis • We choose aλ

Reference 96

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:1fd838e5fd81d9958ecd969f34068d9ecd90b67924583c9fa23caeac79a6d0c9

Observation 472a04f5-fe27-4c46-b9ba-7ba2c1aefe23 · outbound

This paper cites the null token, keeping only scale parameterλw 1, so that the source cameras are not available to the model, but scale is unambiguous.

LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis the null token, keeping only scale parameterλw 1, so that the source cameras are not available to the model, but scale is unambiguous

Reference 97

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Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:d41d4f6c2275bd8e98509474a57bb1715862a959d3b3085dea96b3299cc8017c

Pith citing papers

Observation e5ec5387-f467-49ec-afe4-b4532a462219 · inbound

RayViT: Ray-Conditioned Visual Representations for Viewpoint-Robust Imitation Learning cites this paper.

RayViT: Ray-Conditioned Visual Representations for Viewpoint-Robust Imitation Learning LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis

Reference 12

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no resolver link, observed 2026-08-03T03:22:40.539262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:22:40.539262Z digest=sha256:4ccd5bc858e8d1ea615fea6510977a72265177d630f21c1170c3e64d9156de6d

Observation 07e4ef64-40fa-40dd-ba9a-7ec2e2d854dc · inbound

InfiniSplat: Implicit Gaussian Decoding for Large-Baseline Monocular View Synthesis cites this paper.

InfiniSplat: Implicit Gaussian Decoding for Large-Baseline Monocular View Synthesis LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis

Reference 35

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unresolved
no resolver link, observed 2026-08-04T07:22:22.285497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:22:22.285497Z digest=sha256:e8dd852c905c5562fa175d9cdff62d25e80432d84142654e8caac62789afcebf

Observation a4e685a1-1d7c-40b2-a4a1-4f0145d87552 · inbound

InfiniSplat: Implicit Gaussian Decoding for Large-Baseline Monocular View Synthesis cites this paper.

InfiniSplat: Implicit Gaussian Decoding for Large-Baseline Monocular View Synthesis LagerNVS: Latent Geometry for Fully Neural Real-time Novel View Synthesis

Reference 35

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verified exact
local_arxiv, observed 2026-08-07T00:13:54.116819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-07T00:13:49.906070Z digest=sha256:f71821bc836994ce4453cb2a976189c9d0c10740f8f9633da9cf4e67c7b3f94e