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Paper Citation Record · LEDGER

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting

As of 17 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 0 inbound Pith citation observations for arXiv:2512.03010.

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

pith.paper-citation-record.v1
2512.03010 v2

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:57:32.678822Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

91 of 91 outbound references displayed

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Outbound references

Observation a7418af9-1118-4286-b253-877ef19b90a1 · outbound

This paper cites Neural point-based graph- ics.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Neural point-based graph- ics

Reference 1

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Observation 75c11ee5-84b7-432a-b49c-f608468faab7 · outbound

This paper cites Es- timating and exploiting the aleatoric uncertainty in surface normal estimation.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Es- timating and exploiting the aleatoric uncertainty in surface normal estimation

Reference 2

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Observation aab7c2a7-89ea-4a41-8807-8a82507f574f · outbound

This paper cites Bagdasarian, Paul Knoll, Yi-Hsin Li, Florian Barthel, Anna Hilsmann, Peter Eisert, and Wieland Morgen- stern.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Bagdasarian, Paul Knoll, Yi-Hsin Li, Florian Barthel, Anna Hilsmann, Peter Eisert, and Wieland Morgen- stern

Reference 3

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Observation 17dc36fa-8125-4e5b-b952-8b1dce583ab3 · outbound

This paper cites MVSFormer: Multi-view stereo by learning robust image features and temperature-based depth.Trans.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting MVSFormer: Multi-view stereo by learning robust image features and temperature-based depth.Trans

Reference 4

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Observation 8ae82935-da7b-46b4-aa75-656b89c12aac · outbound

This paper cites MVSFormer++: Revealing the devil in transformer’s details for multi-view stereo.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting MVSFormer++: Revealing the devil in transformer’s details for multi-view stereo

Reference 5

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Observation 4c47fbb7-4d5d-4c3f-aa91-ad12bbd6a592 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting ShapeNet: An Information-Rich 3D Model Repository

Reference 6

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Observation d5498547-b33e-4562-a7f5-1e5b1a85fd4c · outbound

This paper cites Silhouette-aware warping for image-based rendering.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Silhouette-aware warping for image-based rendering

Reference 7

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Observation e55cdca7-c60f-4815-a729-f99734fe0d5c · outbound

This paper cites NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance

Reference 8

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Observation defdc052-4bc3-4abb-bcb9-30d923d05b0d · outbound

This paper cites A space-sweep approach to true multi- image matching.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting A space-sweep approach to true multi- image matching

Reference 9

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Observation f69aaf29-5b53-47cc-a127-6f4861d787b9 · outbound

This paper cites Letsgo: Large-scale garage modeling and rendering via lidar-assisted gaussian primitives.ACM Trans- actions on Graphics (TOG), 43(6):1–18, 2024.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Letsgo: Large-scale garage modeling and rendering via lidar-assisted gaussian primitives.ACM Trans- actions on Graphics (TOG), 43(6):1–18, 2024

Reference 10

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Observation 6d62e318-3a5d-4d69-9fb5-71068b8fb760 · outbound

This paper cites High-quality surface recon- struction using gaussian surfels.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting High-quality surface recon- struction using gaussian surfels

Reference 11

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Observation 6e2fc479-93b5-4078-bf42-d311fa559786 · outbound

This paper cites Floating textures.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Floating textures

Reference 12

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Observation 6319f946-2854-4f85-8404-7063c6147803 · outbound

This paper cites Comprehensive review of deep learning-based 3d point cloud completion processing and analysis.IEEE Transactions on Intelligent Transportation Systems, 23(12):22862–22883, 2022.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Comprehensive review of deep learning-based 3d point cloud completion processing and analysis.IEEE Transactions on Intelligent Transportation Systems, 23(12):22862–22883, 2022

Reference 13

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Observation 500fa3d4-17c0-414f-a6db-11111b8d69f0 · outbound

This paper cites VET: visual error tomography for point cloud completion and high-quality neural render- ing.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting VET: visual error tomography for point cloud completion and high-quality neural render- ing

Reference 14

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Observation 9dbddc89-a74b-4533-b8bc-a94bbb05b816 · outbound

This paper cites TRIPS: Trilinear Point Splatting for Real-Time Ra- diance Field Rendering.Computer Graphics Forum, 43(2),.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting TRIPS: Trilinear Point Splatting for Real-Time Ra- diance Field Rendering.Computer Graphics Forum, 43(2),

Reference 15

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Observation af81bf25-8c62-42ed-a16f-04b24467f5b6 · outbound

This paper cites Vr- splatting: Foveated radiance field rendering via 3d gaussian splatting and neural points.Proc.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Vr- splatting: Foveated radiance field rendering via 3d gaussian splatting and neural points.Proc

Reference 16

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Observation 525a3032-2f41-441a-84ef-1ce9fec1d909 · outbound

This paper cites Efros, and Xiaolong Wang.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Efros, and Xiaolong Wang

Reference 17

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Observation 4e97b03a-5396-4fde-b64c-59cb36eb6df2 · outbound

This paper cites Multi-view stereo for commu- nity photo collections.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Multi-view stereo for commu- nity photo collections

Reference 18

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Observation 05d93876-0a3e-4af4-bc31-7785e1826374 · outbound

This paper cites Eggs: Edge guided gaussian splatting for ra- diance fields.International Conference on 3D Technologies for the World Wide Web, 2024.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Eggs: Edge guided gaussian splatting for ra- diance fields.International Conference on 3D Technologies for the World Wide Web, 2024

Reference 19

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Observation 9b0c0bec-1e2a-4b98-84f1-cdb225a1f46d · outbound

This paper cites Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering

Reference 20

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Observation f6fa825d-4fc5-4ad3-a749-bd12f4f86d46 · outbound

This paper cites Efficient perspective-correct 3d gaussian splatting using hybrid trans- parency.arXiv, 2024.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Efficient perspective-correct 3d gaussian splatting using hybrid trans- parency.arXiv, 2024

Reference 21

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Observation 5eba3ccf-f676-436e-a235-7190fcf70aac · outbound

This paper cites INPC: Implicit neural point clouds for radiance field rendering.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting INPC: Implicit neural point clouds for radiance field rendering

Reference 22

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Observation 75312bb8-16e6-4349-90a8-d234ed2fd2ac · outbound

This paper cites Inovis: Instant novel-view syn- thesis.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Inovis: Instant novel-view syn- thesis

Reference 23

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Observation 3f305664-e0f8-46f8-b172-8371b25b9ab6 · outbound

This paper cites Cambridge university press,.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Cambridge university press,

Reference 24

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Observation 256c03dd-f6ee-4482-b32b-5c7b2ab4e991 · outbound

This paper cites Scalable inside-out image-based rendering.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Scalable inside-out image-based rendering

Reference 25

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Observation 175d502d-ecd0-49db-bcae-326cdd1aeee6 · outbound

This paper cites Deep blending for free-viewpoint image-based rendering.ACM Transactions on Graphics (TOG), 37(6):1–15, 2018.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Deep blending for free-viewpoint image-based rendering.ACM Transactions on Graphics (TOG), 37(6):1–15, 2018

Reference 26

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Observation ecb17008-ec62-40ed-a2ab-55635a35edae · outbound

This paper cites SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving

Reference 27

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Observation 212b1ceb-54c2-4a5f-ae55-3a63f2bea270 · outbound

This paper cites A comparison of outdoor 3d reconstruction between visual slam and lidar slam.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting A comparison of outdoor 3d reconstruction between visual slam and lidar slam

Reference 28

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Observation 13d22460-ef28-408e-bb9e-4bdc4b5100ec · outbound

This paper cites 2d gaussian splatting for geometrically ac- curate radiance fields.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 29

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Observation cfb6ff40-8a4a-4f5e-b5a5-f72ac04667fa · outbound

This paper cites Vegs: View extrapolation of urban scenes in 3d gaussian splatting using learned priors.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Vegs: View extrapolation of urban scenes in 3d gaussian splatting using learned priors

Reference 30

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Observation 93a6ee4b-e017-451c-8939-c4970d9e5a05 · outbound

This paper cites LI-GS: Gaussian Splatting with LiDAR Incorporated for Accurate Large-Scale Reconstruction.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting LI-GS: Gaussian Splatting with LiDAR Incorporated for Accurate Large-Scale Reconstruction

Reference 31

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Observation 561d456d-9e4d-4edc-82b4-f4c94ec61875 · outbound

This paper cites Perceptual Losses for Real-Time Style Transfer and Super-Resolution.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Reference 32

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Observation 78a850e3-d125-4569-b31d-40a9b6269cac · outbound

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

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42 (4), 2023

Reference 33

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Observation ca63fd02-d99f-428e-9212-9b1370234a0f · outbound

This paper cites A hierarchical 3d gaussian representation for real-time ren- dering of very large datasets.ACM Transactions on Graphics (TOG), 43(4):1–15, 2024.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting A hierarchical 3d gaussian representation for real-time ren- dering of very large datasets.ACM Transactions on Graphics (TOG), 43(4):1–15, 2024

Reference 34

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Observation 68621a7f-69b9-49a6-b225-9acba3bd865d · outbound

This paper cites 3d gaussian splat- ting as markov chain monte carlo.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting 3d gaussian splat- ting as markov chain monte carlo

Reference 35

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source=pdf_text observed=2026-08-03T18:57:25.174724Z digest=sha256:e315e911cd02ac149488a440b1c3a6e6c300930d35e0e2805873e1d34f8c876d

Observation 53848da2-e204-4aed-bb3e-9d464f5c7cc1 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics, 36(4), 2017.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics, 36(4), 2017

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source=pdf_text observed=2026-08-03T18:57:25.253436Z digest=sha256:738c68f66f4a6707553e816e7de82ee7bdb3fa9e95245c6808ca6baffbc37c0e

Observation 7501c867-e2ce-40de-9373-2ff2ce742f89 · outbound

This paper cites Point-based neural rendering with per- view optimization.Computer Graphics Forum, 2021.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Point-based neural rendering with per- view optimization.Computer Graphics Forum, 2021

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source=pdf_text observed=2026-08-03T18:57:25.345324Z digest=sha256:dfb91de9d4ccb44ef924d662b53abe6ab9a26239b24b4e3d5265fba4e6d5cfad

Observation 2d1b4b59-4f93-4df3-917e-9c4d39100463 · outbound

This paper cites Neural point cata- caustics for novel-view synthesis of reflections.ACM Trans- actions on Graphics (TOG), 41(6):1–15, 2022.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Neural point cata- caustics for novel-view synthesis of reflections.ACM Trans- actions on Graphics (TOG), 41(6):1–15, 2022

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source=pdf_text observed=2026-08-03T18:57:25.425539Z digest=sha256:2ca77923c1080e5b026084e7bb4a034bccd394adf5c54382a8f7e5927d5e853d

Observation 40b82930-875e-4991-b761-499a96db14bc · outbound

This paper cites Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion

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source=pdf_text observed=2026-08-03T18:57:25.486254Z digest=sha256:e57fb76be2b03542a4ba829e531086cbd12b5ce92a6e3680feae382f1986d1dd

Observation e6fc3905-7948-481f-965d-0fcb9fcacede · outbound

This paper cites Pu-gan: a point cloud upsampling ad- versarial network.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Pu-gan: a point cloud upsampling ad- versarial network

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source=pdf_text observed=2026-08-03T18:57:25.532881Z digest=sha256:cc257db9987cd6747953f9cc56f49171adec6a1cb9789cb5f3d1db9324b41906

Observation 3bfaabff-06a4-4d39-ac5e-ac30d389a0c8 · outbound

This paper cites Neuralangelo: High-fidelity neural surface reconstruction.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Neuralangelo: High-fidelity neural surface reconstruction

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source=pdf_text observed=2026-08-03T18:57:25.592611Z digest=sha256:c524473a501997a053d1422f7ca084b88511ecd634e3fa4e6f3282648cec7328

Observation f390cd64-57a7-4212-ac6f-6cfb50ee04c1 · outbound

This paper cites KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.Pattern Analysis and Machine Intelligence (PAMI),.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.Pattern Analysis and Machine Intelligence (PAMI),

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source=pdf_text observed=2026-08-03T18:57:25.664337Z digest=sha256:d942f887fbb183efd2f4a5d8f1a6de0ec2a376f105ead8b55225a555f49bbe02

Observation 73e27c9f-b0c0-485f-a5e6-84bdb3a99f52 · outbound

This paper cites Vastgaussian: Vast 3d gaus- sians for large scene reconstruction.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Vastgaussian: Vast 3d gaus- sians for large scene reconstruction

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:57:25.743203Z digest=sha256:52eed518d86d1c1bc3f1bb10c2d59e0fcb3cb62fac9e45671cdba6a47d5a37eb

Observation 49642176-bda2-4ab0-b14d-de9e4b06973e · outbound

This paper cites Dynamic 3d gaussians: Tracking by per- sistent dynamic view synthesis.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Dynamic 3d gaussians: Tracking by per- sistent dynamic view synthesis

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source=pdf_text observed=2026-08-03T18:57:25.810915Z digest=sha256:241b7010ed6b8c52066433203c7ea87771fc108ebab427dc14e2c73d2374efdf

Observation de7fc90f-af10-40bd-b60e-2592e1a9bde8 · outbound

This paper cites McManamon.LiDAR Technologies and Systems.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting McManamon.LiDAR Technologies and Systems

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source=pdf_text observed=2026-08-03T18:57:25.940580Z digest=sha256:35c70f0e8082637c5a142d9330ac6fe20e85da9bde363a04301015d8525c9755

Observation d76396d2-f1c0-4607-9a01-5516857ebeb3 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021

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source=pdf_text observed=2026-08-03T18:57:26.058600Z digest=sha256:9ad4dad05bc49fa4bb4b91c020c064742a9b781f0015be7024eddbd83ba310df

Observation 56682aa2-edc7-4b9e-8961-63854ae94c9f · outbound

This paper cites Compressed 3d gaussian splatting for accelerated novel view synthesis.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Compressed 3d gaussian splatting for accelerated novel view synthesis

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source=pdf_text observed=2026-08-03T18:57:26.195550Z digest=sha256:e6801082a17c7c3286080b5a8f604f106ae9d711bd58643d227ec33556208a63

Observation 0e52da65-8842-4d32-81da-4836dfae1a18 · outbound

This paper cites RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS

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source=pdf_text observed=2026-08-03T18:57:26.260397Z digest=sha256:ede82ff4749f4e44e5a6b6796fdd8cacd632d0a5e768dde9c6615ccef52fcdec

Observation 68bc2ab6-42f0-4dfe-aa78-a20b9d114b03 · outbound

This paper cites Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction

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source=pdf_text observed=2026-08-03T18:57:26.335256Z digest=sha256:afb61beb2fc36f6d403578d78949513bf0290f3b4314bcef1ed2e0c2f51c6b02

Observation f29238ee-55da-4038-8471-f10af6868fb1 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Pointnet: Deep learning on point sets for 3d classification and segmentation

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source=pdf_text observed=2026-08-03T18:57:26.399235Z digest=sha256:f8d20781afbb939e0c51b82360c549da19bfd3d2aea594da1bed3aa655a2448b

Observation a056e4a3-3a88-4053-a0b0-8efacc36e133 · outbound

This paper cites StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering.ACM Trans.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering.ACM Trans

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source=pdf_text observed=2026-08-03T18:57:26.507506Z digest=sha256:ee85ce91638b9dfefde446c6d70c28e0219c10b93c70c8413f71412da1863594

Observation a29d115c-3e5b-410e-96ac-505ae78beef4 · outbound

This paper cites Stable view synthesis.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Stable view synthesis

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source=pdf_text observed=2026-08-03T18:57:26.563396Z digest=sha256:f20fc6ac6703c0da8fd448ae1e08edc52d2e501756c4ece7a11ca686d0ea1545

Observation 0dfa826e-fc60-4f69-af78-3843e9fb4f53 · outbound

This paper cites Adop: Approximate differentiable one-pixel point rendering.ACM Transactions on Graphics (TOG), 41(4):1–14, 2022.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Adop: Approximate differentiable one-pixel point rendering.ACM Transactions on Graphics (TOG), 41(4):1–14, 2022

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source=pdf_text observed=2026-08-03T18:57:26.630996Z digest=sha256:25cb66db1f30158b3be449750d086d5ffc6dd1e492aee7dfea3631771ab18462

Observation d81b3a39-20df-4546-9426-c126f7d5e6c9 · outbound

This paper cites Structure- from-motion revisited.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Structure- from-motion revisited

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source=pdf_text observed=2026-08-03T18:57:26.680515Z digest=sha256:71d7851c5ca00218fdb5357100920a2d5df2290583bf7c8ec90c25ab43822e50

Observation 5fdb2e1f-835b-40cf-8f59-e07644016c8f · outbound

This paper cites Pixelwise view selection for un- structured multi-view stereo.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Pixelwise view selection for un- structured multi-view stereo

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source=pdf_text observed=2026-08-03T18:57:26.764182Z digest=sha256:0b01f948383ff31087d5f5043aafa769917c82921e32b7c7461351124d98115d

Observation dd324989-c3c7-491f-9a3d-023382992794 · outbound

This paper cites Review of image-based rendering techniques.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Review of image-based rendering techniques

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source=pdf_text observed=2026-08-03T18:57:26.878878Z digest=sha256:e6f2c61801682340ce532445d41cac48cdabf4165c813edac47bf483589e5528

Observation 069ed65f-c0dd-497a-81b2-e6d1915acd81 · outbound

This paper cites Photo tourism: exploring photo collections in 3d.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Photo tourism: exploring photo collections in 3d

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source=pdf_text observed=2026-08-03T18:57:27.040069Z digest=sha256:a883a34209bd70bff2d7393ef9bdb4483612e2b93e7fbc15baabf0a37b7d24c0

Observation a761c76c-f76b-4a13-b0df-20dcfefaac25 · outbound

This paper cites A compar- ative analysis of depth-discontinuity and mixed-pixel detec- tion algorithms.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting A compar- ative analysis of depth-discontinuity and mixed-pixel detec- tion algorithms

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source=pdf_text observed=2026-08-03T18:57:27.159577Z digest=sha256:1b2a0d16afae01b44fe2475a49914530a3eb9858f9d8088946bec85f8c0d4982

Observation 04192df7-babb-44ea-bffc-0a7fc4d87348 · outbound

This paper cites Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian Reid, and Silvio Savarese.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian Reid, and Silvio Savarese

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source=pdf_text observed=2026-08-03T18:57:27.264631Z digest=sha256:ed6363aa1e4c7e876e74cc1d58ac669241bf4c39109a0fbb69e11cb9e88ebc98

Observation ee7acea6-271a-4304-a0e4-216af49f5776 · outbound

This paper cites Velodyne LiDAR Inc., 2019.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Velodyne LiDAR Inc., 2019

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source=pdf_text observed=2026-08-03T18:57:27.373577Z digest=sha256:0ea5e2f67f01748194317566cc3a50a10d56321702b45f72882c8beb03355542

Observation 48fa17ca-b533-4500-b145-757e70f6a130 · outbound

This paper cites Pointattn: You only need attention for point cloud completion.Proceedings of the AAAI Con- ference on Artificial Intelligence, 38(6):5472–5480, 2024.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Pointattn: You only need attention for point cloud completion.Proceedings of the AAAI Con- ference on Artificial Intelligence, 38(6):5472–5480, 2024

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source=pdf_text observed=2026-08-03T18:57:27.470674Z digest=sha256:0d48b51db2172f9964a635fc21cdbc0d54f87975f170483ad8ee4d3524e5ac87

Observation ef38e543-c102-45d2-aace-3bfe9b4bea01 · outbound

This paper cites Neus: Learning neural im- plicit surfaces by volume rendering for multi-view recon- struction.Advances in Neural Information Processing Sys- tems, 34:27171–27183, 2021.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Neus: Learning neural im- plicit surfaces by volume rendering for multi-view recon- struction.Advances in Neural Information Processing Sys- tems, 34:27171–27183, 2021

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source=pdf_text observed=2026-08-03T18:57:27.625600Z digest=sha256:86cf4d768c32a9eafd337ece74a85ba98355c9859988b39711ba3727ed8022df

Observation 1b83b005-e498-4b8c-9ac8-d8cc3f3d9320 · outbound

This paper cites Neus2: Fast learning of neural implicit surfaces for multi-view recon- struction.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Neus2: Fast learning of neural implicit surfaces for multi-view recon- struction

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source=pdf_text observed=2026-08-03T18:57:27.729910Z digest=sha256:185e9870944fb22a10803e85e2687fb7a9c37a2477324b240fa8d8eb2a3a6979

Observation cf3ea312-e3d3-4615-8a25-180c0fceb482 · outbound

This paper cites 4d gaussian splatting for real-time dynamic scene rendering.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting 4d gaussian splatting for real-time dynamic scene rendering

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source=pdf_text observed=2026-08-03T18:57:27.853009Z digest=sha256:e9d68344d59bf49c92f26d698cf90d020e75e87494012bf688b77307240849a0

Observation 1980b99d-a703-476b-b2c4-02f9075b6fe7 · outbound

This paper cites Recent advances in 3d gaussian splatting.Computational Visual Media, 10(4):613– 642, 2024.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Recent advances in 3d gaussian splatting.Computational Visual Media, 10(4):613– 642, 2024

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source=pdf_text observed=2026-08-03T18:57:28.252421Z digest=sha256:1f231282e606b649306e342c164a95b2853bf74e2a114744a84e3f603d897686

Observation 827d0340-2eb4-446f-bd06-cd1b6b487b51 · outbound

This paper cites GaussianRoom: Improving 3D Gaussian Splatting with SDF Guidance and Monocular Cues for Indoor Scene Reconstruction.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting GaussianRoom: Improving 3D Gaussian Splatting with SDF Guidance and Monocular Cues for Indoor Scene Reconstruction

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source=pdf_text observed=2026-08-03T18:57:28.524677Z digest=sha256:627a0f0ef77cd1ecd9cb6f20ce56904e03bba7928149735ec92a7c8621a7eb29

Observation aaa5ed19-65d2-4a30-a5be-6e907095f6ca · outbound

This paper cites SnowflakeNet: Point cloud completion by snowflake point deconvolution with skip-transformer.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting SnowflakeNet: Point cloud completion by snowflake point deconvolution with skip-transformer

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source=pdf_text observed=2026-08-03T18:57:28.695189Z digest=sha256:306946d736ad0c3811555172a9aa26a67e590bf86800ec897fdf5793f8bd1bf6

Observation 64439243-157c-444d-9549-3704cf147e1c · outbound

This paper cites Learning compact representations for lidar comple- tion and generation.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Learning compact representations for lidar comple- tion and generation

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source=pdf_text observed=2026-08-03T18:57:28.824722Z digest=sha256:7987ea2691f152b13f7469489a7c4fffafc721cd393fcbbf54ebfb6d7888d8a9

Observation 87733311-14c6-4146-a31e-aea27be93ccc · outbound

This paper cites Multi-scale geometric consistency guided multi-view stereo.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Multi-scale geometric consistency guided multi-view stereo

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source=pdf_text observed=2026-08-03T18:57:29.003097Z digest=sha256:bdeea04cc4775c8a67034406f7e10a70ac38dcd7d84448e4899a9db7248e33b3

Observation db264401-4a0a-499f-940a-06afd79a6c36 · outbound

This paper cites Multi-scale geometric consistency guided and planar prior assisted multi-view stereo.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 45(4):4945–4963,.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Multi-scale geometric consistency guided and planar prior assisted multi-view stereo.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 45(4):4945–4963,

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source=pdf_text observed=2026-08-03T18:57:29.119312Z digest=sha256:b5e8d2e1117413f52273f5638c5f9d363860d107a7aa110499b3ff6c67840750

Observation 24d203a2-91e4-4b8d-88c9-80a2f8076639 · outbound

This paper cites Point-nerf: Point-based neural radiance fields.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Point-nerf: Point-based neural radiance fields

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source=pdf_text observed=2026-08-03T18:57:29.278225Z digest=sha256:8316dd511fb5788641b7d62914b8c307ef96c7840279c13fe200e725368f9b85

Observation 4915b737-ce1f-42bb-ad67-2fcf4dc83809 · outbound

This paper cites Depth completion from sparse li- dar data with depth-normal constraints.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Depth completion from sparse li- dar data with depth-normal constraints

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source=pdf_text observed=2026-08-03T18:57:29.411950Z digest=sha256:f7b02670745e4dd24c01b505275b6d24cede160a09fad98f35ed3059c477ab08

Observation 10bc0617-23b8-472c-aa21-f2265dfa0ec6 · outbound

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

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Depth anything: Unleashing the power of large-scale unlabeled data

Reference 74

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source=pdf_text observed=2026-08-03T18:57:29.689504Z digest=sha256:b655f71fe55e4b8d7a5dc8f22c77cd0c51fd505a3d83f4ee1e0874c4ac816dab

Observation 5878e63e-7a61-4be1-be17-d6169d19bb52 · outbound

This paper cites Mvsnet: Depth inference for unstructured multi-view stereo.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Mvsnet: Depth inference for unstructured multi-view stereo

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source=pdf_text observed=2026-08-03T18:57:30.371986Z digest=sha256:dd7e5cef5189fe23ddd35f5e9a52188f2ee2afa3061b14b940d2869f4707b313

Observation 0498f881-ad7f-4f8d-995f-d60d423ab1e1 · outbound

This paper cites V ol- ume rendering of neural implicit surfaces.Advances in Neu- ral Information Processing Systems, 34:4805–4815, 2021.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting V ol- ume rendering of neural implicit surfaces.Advances in Neu- ral Information Processing Systems, 34:4805–4815, 2021

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source=pdf_text observed=2026-08-03T18:57:30.474373Z digest=sha256:ea1d31c3dc59320a340af709c99e44921ae06a9ff4c7101553d524f4e80296f1

Observation 1b4ace4d-9d63-40d8-a8d7-20837509cbd7 · outbound

This paper cites Bakedsdf: Meshing neural sdfs for real- time view synthesis.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Bakedsdf: Meshing neural sdfs for real- time view synthesis

Reference 77

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source=pdf_text observed=2026-08-03T18:57:30.615399Z digest=sha256:787ad506b2d4df633d48b4f466ef92e9eb51f0d6e37cd20dbc71a6a531948ec1

Observation d862acfa-19fd-468a-a356-cd95e52eb51f · outbound

This paper cites Scannet++: A high-fidelity dataset of 3d indoor scenes.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Scannet++: A high-fidelity dataset of 3d indoor scenes

Reference 78

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source=pdf_text observed=2026-08-03T18:57:30.715107Z digest=sha256:b45a7c12039ded42ee7a02f010030f186feef364e7f90d4d95f00ce6529d63fe

Observation 00278820-6140-4d5d-b19a-218d165bed94 · outbound

This paper cites Up-sampling method for low-resolution lidar point cloud to enhance 3d object detec- tion in an autonomous driving environment.Sensors, 23(1): 322, 2022.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Up-sampling method for low-resolution lidar point cloud to enhance 3d object detec- tion in an autonomous driving environment.Sensors, 23(1): 322, 2022

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source=pdf_text observed=2026-08-03T18:57:30.825708Z digest=sha256:fa2fcd3e7e7685266977e7d0253a85d2bfb32697f429b22d10265670d0d55ec1

Observation 87f09796-58cb-4550-872e-6d7fadabc843 · outbound

This paper cites Pu-net: Point cloud upsampling network.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Pu-net: Point cloud upsampling network

Reference 80

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source=pdf_text observed=2026-08-03T18:57:30.963431Z digest=sha256:75906e6ce197ed6b58ce03ec67de07d003bda3e4172a8382470090027122570b

Observation 1edcafcf-f874-49da-b136-a38a22f27b40 · outbound

This paper cites GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction

Reference 81

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source=pdf_text observed=2026-08-03T18:57:31.136698Z digest=sha256:60a53fb1a886ae988bf8f417d72050f05f29e6c9a22c84d18d7300f8ef72c195

Observation 1702fb86-4059-4101-b8f5-86c75c0aa630 · outbound

This paper cites Pointr: Diverse point cloud comple- tion with geometry-aware transformers.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Pointr: Diverse point cloud comple- tion with geometry-aware transformers

Reference 82

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source=pdf_text observed=2026-08-03T18:57:31.252089Z digest=sha256:dd69ae674f2d5b4865d5abe0b2d364173f10f4c561a462f870b54f91cf6a0acc

Observation b33e1d3a-bc50-46f8-97e0-6f07ed80ffb6 · outbound

This paper cites Sdfstudio: A unified framework for surface reconstruction, 2022.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Sdfstudio: A unified framework for surface reconstruction, 2022

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source=pdf_text observed=2026-08-03T18:57:31.315732Z digest=sha256:9cbe8c9dba8e6c2ac870f8078fe0083ff04767edd84ef9f0932f8f4bd8336203

Observation fd273146-c273-4d6d-b3a4-8b0ae104e0ee · outbound

This paper cites Monosdf: Exploring monocu- lar geometric cues for neural implicit surface reconstruc- tion.Advances in Neural Information Processing Systems (NeurIPS), 2022.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Monosdf: Exploring monocu- lar geometric cues for neural implicit surface reconstruc- tion.Advances in Neural Information Processing Systems (NeurIPS), 2022

Reference 84

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source=pdf_text observed=2026-08-03T18:57:31.440880Z digest=sha256:668f16bba85ea9718f6a87e1c4080cd7565dbe44673884b7924d90a1f6caec76

Observation 03c9940d-ee15-4651-9cc1-7b2a4f2bb9c3 · outbound

This paper cites Mip-splatting: Alias-free 3d gaussian splat- ting.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Mip-splatting: Alias-free 3d gaussian splat- ting

Reference 85

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source=pdf_text observed=2026-08-03T18:57:31.837543Z digest=sha256:4b496d0a39db7298280e6ec44832038453b6691aeeaf574882916eba6ec3b9b5

Observation c23d4531-6ad1-42aa-84e9-429ea983b850 · outbound

This paper cites Gaussian opacity fields: Efficient adaptive surface reconstruction in unbounded scenes.ACM Transactions on Graphics (TOG), 43(6):1–13, 2024.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Gaussian opacity fields: Efficient adaptive surface reconstruction in unbounded scenes.ACM Transactions on Graphics (TOG), 43(6):1–13, 2024

Reference 86

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source=pdf_text observed=2026-08-03T18:57:32.011783Z digest=sha256:c11b9dc5dc454f1c46761a44c68af472bd0a597b0c0145c0fcd4289db1ef2def

Observation 6d83a539-8120-4822-b85e-3dcdfed197c5 · outbound

This paper cites Pcn: Point completion network.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Pcn: Point completion network

Reference 87

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source=pdf_text observed=2026-08-03T18:57:32.108442Z digest=sha256:9e2ba5b846e938f351373df7d5c792b4070844c62e27d5aad594c2bba6de16c4

Observation 4fd1bf08-8527-4157-85e8-497783eca2ea · outbound

This paper cites Tclc-gs: Tightly coupled lidar-camera gaussian splatting for surrounding autonomous driving scenes.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Tclc-gs: Tightly coupled lidar-camera gaussian splatting for surrounding autonomous driving scenes

Reference 88

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source=pdf_text observed=2026-08-03T18:57:32.252308Z digest=sha256:1a60b930d51f6cc5cb0b4e7d39556e1706e458ed329a5af306339c8ac87fb6e6

Observation bdaba979-da01-460d-989e-2a560cc4b29d · outbound

This paper cites Drivinggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Drivinggaussian: Composite gaussian splatting for surrounding dynamic au- tonomous driving scenes

Reference 89

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source=pdf_text observed=2026-08-03T18:57:32.379016Z digest=sha256:840b082417719887f22c55a59ee3f2c9676f37136cae0310d9c8d106675c0faf

Observation dbbc8305-c4d6-4fde-8c28-4ff3d17d8db7 · outbound

This paper cites A survey of point cloud completion.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting A survey of point cloud completion

Reference 90

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source=pdf_text observed=2026-08-03T18:57:32.513458Z digest=sha256:3471ae6f0646160d853dcff5b64cea6e01acd2672577ec3c63dbcc8f63a51807

Observation cf60e2da-23ca-48fa-aef0-25fe7e364e5e · outbound

This paper cites View synthesis with sculpted neural points.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting View synthesis with sculpted neural points

Reference 91

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source=pdf_text observed=2026-08-03T18:57:32.678822Z digest=sha256:e007342bf566ffd96d2f2e257753e708c43cc7cc5477f43da30b91b05bc7f682

Observation 4b6436d1-0461-407c-b02b-d4c1305252e4 · outbound

This paper cites an unresolved cited work.

SurfFill: Completion of LiDAR Point Clouds via Gaussian Surfel Splatting Unresolved cited work

Reference 418

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source=pdf_text observed=2026-08-03T18:57:22.270449Z digest=sha256:8e7207719f6f3c66ea3bb591eb08013b90ff0bb51fa3c40d26b1201a66293bc3

Pith citing papers

No inbound Pith citation observations are available.