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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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

  • verified exact0
  • 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=sha256:9bf329b3a8f17fbac7ad5428e5a900735eb956eea46f5c9ae45f18c525028002

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:b76e3738d28900253e1ebd7931832c42c01501ecf5eaab41afc980addbd02128

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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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:6b32083ab4fa7d18b47a6c951a21d775fcdccdd61a901d5f3ef3e4e01840dc82

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=sha256:825abfdd5bf43eeec8e5408965fe40cfb5ce8f9c94fb561448cab9277c6cd87a

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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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:a8b88b34342b236459447087da971904e3d51d705fcdaa56fd65b9444e09b72e

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=sha256:4a4cb357a9a3569c770545c6cf03fc521081582391eda36aff3a084d5461afdf

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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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=sha256:2571f8953c1864b031bcaee435b3e87f2e2bba6a3a6c6804dc68e43790454b09

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=sha256:62933fdb79f0c1b60c9f27813db4964b4839a3980af702d8b33ab11283d37de7

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:bfe6d6367b6932aec95d7b9bc8c0ecb63ef4789135a54ed29f0027d0b868e595

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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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:efca605dda3d5a828736d06240c415a780f090da3df7810b8eaa20a9556dc314

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=sha256:8a07cdc6c3271980fc1dfbadf3bfbe3729830354ecc4872b042fa42ca608b8af

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=sha256:13d95eab86cd156e90b617816ce93451ddb78c006845ce758a3ebb0ea9fc2d75

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=sha256:0f0bd50ad32e46fd0ad24e7cd7d7cd52f3da962bcf2ab5605c34b7dcedfaa8ae

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=sha256:0ff2546d80a7c2e433b9856f8f1ab4640ad77c1fbcd50fc4e45ef432be1ec3c8

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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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=sha256:8c5f89e87042cf82ce1b3842b072f270f04a5e3465eef89bb0f8a47104c6bb71

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:cdd951c852c25b7eabc64123177fe4aacf7a8f36148a6d4662b6536fc149060c

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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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:b90f049f830006791f144d249c5a55884a3b32b259c4f97c7cd83eb7872963ad

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=sha256:10769d9ceed03f120e6a60c394bf83b5d481f06dfa1c81c46c545a3c166cac53

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=sha256:99d6e4e5170fd1fc637d4609815d1ca9d435e642b4230c69904463d462e04a3d

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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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:c6f9b46ffd1f57015ba27239f8a4f7841a855ba2322d1bdf6504069456557c95

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=sha256:82c4c6c07168b6ffa2f9d1333e41422cd825cf3140b2ba57d6e0a111c1c5e75f

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:d14f1313b34708a1cf5279a1ba188bda10a8353fa2abd39b01cdf8ac6e26dc82

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:d9efd73ee825660c0f9b23b5426a041b4fc2ab47e589c7b1bb3da57ff25c0e3d

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=sha256:332fe3ba7bab340d35fabcf0ba1667cd458684717c8a6be5b389025cf24f8797

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=sha256:6f37cb2a74a7401d776ccac9300b050e5a8fb10aaa6d83b5d97b334cdb091a81

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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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=sha256:371604955e3b4c20c98c3b283a53057ba7989c251f224a62dd5b5c9df1f3a44d

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=sha256:06f51df9ff519c4cf03e430578ac76586395c8e1af29bb23034f8e0e279188eb

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:de1a12ef97c5f23e898a37d1c54e8b6e196440741e8cd9d8c5e33ad57d1d2773

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=sha256:10c86dedce84e49028aa76bc919a1093eb1d37a83d6de345889a9c4a1a49c84a

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=sha256:7389996b4937abff74b1c3ac5f1839bc15ae91d5b8d21b10305db30de308d0a2

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:abb9e7ff3e50e7d294e6ae9fab7ebf7dd82f5ab4cc9c549bf3dc4f9285acf6f6

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=sha256:8bcae7592a672da7f1f3d0f21921610d8242c60c971f4bcd5d938bdb18be9744

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=sha256:89ba766fb3f348dc33897a9e37d9c5356a0116594c76f2a59065d710893d60f1

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-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:c022857242f5414eb5d630c948102736acbd940f87d85eb1d72aee756bcc4697

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:caf12a0eaa62be6cce5508167243919c71d7315e6d5907b81651f94f1ff048d2

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:cf99cc85e9a9f303ed5c968cbbf61018fce6efdb3a339bb9be581e122c9f929e

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-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:c9a73fef8aa543f5444c8b985072bb79183f8a5eff81fc7f214df2ddc91cf13e

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-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:c4709927f15d2e61eb716a0ec7362a092ff68f6aa920ae8ad25ee2dc2993272b

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-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:9f7510444aee303b6b1e867666bfb1ab2642346f318311d4e080e15985cbe41f

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=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:bce612f2a9aab6e74f01bc753ae072566af64c954c2e8bb0001db99ff285f449

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:e9f97b5a54cd13910e0e072dcdffdce4bd22fdd29b7c29fca1d11e47b72c112f

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=sha256:0f6f7054fc82a3dcc4708570ac1f1b9c16031b50c5902b8825b1c512de3c968e

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:fe7f42e76deceb81b350cbdef7c89465dc79568d35a0c8770aba9e01301a01a2

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-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:d358f746ab5431323c50cc4b9fefb7bcedbbc1365887b25fa8b9489dc384d0cf

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-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:0210b99fb5dfce992eb0ead3289e0a0c2ea7de37c374e39ceaf97c5dde7fa918

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=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:e1c923f808c5ac8b5f69093f32a5403d5b931a24fd2d9a1816e7ec5bd03f34b6

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=sha256:7fe7b8458dcc14425a25b26ebd6565abe564621d90a29c55edda0057a8f21227

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-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:d5f4bb654d75dfeacc8d1463c394b471a56e9367177b0c415db68f0931f41c6f

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:dbf64e023478d41f887305acfee61003495dda91022316e8dba673afc754f5e3

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:a0b38434889407ad3682efea3764fe8bd20b65e157f51b3c867f4cce6c5a54f6

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-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:67ccccbcc4b7fc1af812edfe6bb6768c09efa17b9ed9425d24a6dff984776350

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:ec411b98722bad479a0a76db14a6ca3ae60406b6ec8365dd7d21f8f1d9ea0fbd

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:d6cd8ed07771b9e367e0805fd889daa6be939ec837b0fc162f6ac71ff30ab301

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=sha256:4843baabf60662e79593ae5e7345070802fa396d395272a203eeabee633b7191

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:eda21fc32be532ab3df4966a5a52f7bab874048e4505b0267098a4617e2b45f1

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:c0801589965e946bdca7d04662b6f1a0e4839225f82c0025724802f10b8f949e

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=sha256:40817aec0dabe7997d183a8161bb1be04206282c5b8e56f91fdee7eb2d4c0309

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=sha256:378f2df692196f1dedf7f10cb3e90c4eb545669b33ca817ccede3c86120d9e45

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:af1558529b49ecf008cec23fb07290c0be58bd72d75cd512c8423977568f5c0b

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:e472da78ddf38a93c52ef368ca1ec71b0900b090811460c99dd11684992dda51

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=sha256:45754d9205b6749bd4f07f62693b4b778f98e5f4b83b0a93c2855bc9e80ad4b5

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:75eab0b298ea231f3ea08cb6342bf3e227b38dce5574344f880e89922030c15a

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:a3b60ea0e6ed63a974ebba7522b37102aa51a652ea60a624deac1b50b434952b

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-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:16c26f88359469e255da939785426e29cafe76a43d13bcfffc3562b719137656

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:cdc578715adaef6d43f959c452c64707445b48903588abcdc981e3bfd87a8870

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:966808d8a4aa178d5b5cc6dcf7b91888f3edaf5e1607e78339287f891f47d86e

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-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:5e2bdbd11156e3dc53bf2687fb1ff7d70ac5510620618ac82fd4e48c064b67b1

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:ac0a06db00c98d8e808831ba10e412caf7c594bfaa3e0109c0a3201bdffc9a2f

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=sha256:249c29161ca1d7bab3a9c453f43a0948e17f01d70149a046bd4b808f8d96bb6a

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=sha256:7226f2fe2bd5df30e82951b84e6d0302143ca9b02fe3592e027a81acdda89c6a

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:df995d63b6d77126e6c5401aa6d3785af07134593ee7d31c845b1287a3d32de8

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:ca02b5dbda7e737cfb58b3dc427a4c507ec2e87ba5f0ad381774d09282fc0ca9

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=sha256:27eea6362af3038e3b6387a1fa2b5a70dd1c8d5c5e9886f056cc9001a9921b6e

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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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:ac2126a1bb62f44f7ac727bf25f5fd3be321d45e6e22d4aad4e4ad6570ab334b

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:231d18a778acf8600a2ba33fccc170df9496a0cbf1bfb99ec8db44f774c8b29d

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

Source-reported events for the cited work

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source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:9165906fc2b9c2fb9136fc50f361f140ccc2f54f9af60d96b3b57960a0b83fd3

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=sha256:734e1c33ba7137445393ea664c8e975ec0db2029353edede448f794da3634300

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=sha256:4eaf97645247680416a8c43eb47cc3c7fd76bb4ab53b45dd3aeba9094b5abcc8

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:4addbcb0aa85348df00e116133f054c93e1b23eaac495f53a1860b3f85234632

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

Resolution
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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:cec029f024204ebb80fee5cd60be5af62c708b0b897a138da8e14243b80fd85d

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:e44a5a029b2081d4b3532ec95bd2f0b06f143fe82c5628243800ad061be216d1

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=sha256:213fa3936b93f3326b1ef7e2ca9dc4bd1a9afb76c38410ca99ad028ad417d5b4

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:d629b36ff4b87383ab3e36d3cd76ad449b532859cbe0b4d7077f961f2ae35bbc

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=sha256:23f6485e13d922c13fc9027d189301a678f62af6bc6fe4af97b27d97433bad88

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=sha256:4ec86dc3b27a7025d6e3837fa00cab55408c6f84b9c4fc45c7bcb392c3a6fd8f

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=sha256:55ecbf54b531f8623afa415c34a56ab8759faa529b6f8edc904fc356e9401549

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:23ce59a8107cdcbcf18e9bb2319a852d0bff60ec30623a50de8f1e0dc4c9a13d

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:39:45.781509Z digest=sha256:22c025157894fca653d868d57e7dc45c67a9dd2e13854d5e58128faded44ffe5

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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unresolved
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=sha256:1b07fa8a61a76c2f33b47617301265050a607198d9468f3281f7530f3a65d240

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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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:f88551199c80dae8e98a4e37686a9c60a7c38c79c2af793489041a913f1a6ff4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T00:13:49.906070Z digest=sha256:1a66d124dc0051e20b505bac8f18ede0c2275ac4dbb88945e8d2f6997b91a51a