Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting | Paper Citation Record

Observation eb291f0f-8b41-41e1-8c3e-700fcd08fe4e · outbound

This paper cites 3D semantic parsing of large-scale indoor spaces.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting 3D semantic parsing of large-scale indoor spaces

Reference 1

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Observation 225870dd-e909-4879-be06-3591d61b23d3 · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields

Reference 2

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Observation 41ac8a2b-e22d-42e3-9d4d-d641b2e498bd · outbound

This paper cites pixelsplat: 3D gaussian splats from im- age pairs for scalable generalizable 3D reconstruction.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting pixelsplat: 3D gaussian splats from im- age pairs for scalable generalizable 3D reconstruction

Reference 3

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Observation aef4c00d-a031-47ad-8405-d6e9ffdaaad9 · outbound

This paper cites Tensorf: Tensorial radiance fields.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Tensorf: Tensorial radiance fields

Reference 4

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Observation b9b4492e-feba-4fbd-9592-3ac13f6c13d2 · outbound

This paper cites Multi-view 3D object detection network for autonomous driving.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Multi-view 3D object detection network for autonomous driving

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.415232Z

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Observation 79c445e5-9132-42dd-a37d-e61393fd9406 · outbound

This paper cites 4Dcon- trast: Contrastive learning with dynamic correspondences for 3D scene understanding.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting 4Dcon- trast: Contrastive learning with dynamic correspondences for 3D scene understanding

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.404601Z

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Observation 83774c42-4302-4bea-8d18-4c7b164958c3 · outbound

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

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Mvsplat: Efficient 3D gaussian splatting from sparse multi-view images

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.394172Z

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Observation 74f34685-b407-48f5-a9c7-48e7932418c6 · outbound

This paper cites 4D spatio-temporal convnets: Minkowski convolutional neural networks.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting 4D spatio-temporal convnets: Minkowski convolutional neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.384201Z

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Observation 33c3dfc4-1e8c-4b8a-bd54-555abb1f0e24 · outbound

This paper cites 4D spatio-temporal convnets: Minkowski convolutional neural networks.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting 4D spatio-temporal convnets: Minkowski convolutional neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.372491Z

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Observation 9723bdad-f9ce-49f0-ba24-84a9d4da6ede · outbound

This paper cites Spconv: Spatially sparse convolution library.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Spconv: Spatially sparse convolution library

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.361537Z

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Observation f1a5c81d-0bad-4194-9f62-e6f337e5b018 · outbound

This paper cites Scannet: Richly-annotated 3D reconstructions of indoor scenes.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Scannet: Richly-annotated 3D reconstructions of indoor scenes

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.350195Z

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Observation 3ac42ad0-e437-44a5-95e1-fae5e810a096 · outbound

This paper cites A point set generation network for 3d object reconstruction from a sin- gle image.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting A point set generation network for 3d object reconstruction from a sin- gle image

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.339055Z

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Observation cc97f1dc-e1e8-434e-bdf7-5ee31242757d · outbound

This paper cites 3D semantic segmentation with submanifold sparse convolutional networks.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting 3D semantic segmentation with submanifold sparse convolutional networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.328743Z

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Observation a7599d8e-ffbc-42fb-9d97-507250f34684 · outbound

This paper cites 3D semantic segmentation with submanifold sparse convolutional networks.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting 3D semantic segmentation with submanifold sparse convolutional networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.316195Z

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Observation 6213c848-bf8c-4276-913a-f4545af48ce7 · outbound

This paper cites Multiple view ge- ometry in computer vision.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Multiple view ge- ometry in computer vision

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T11:11:52.423689Z

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Observation a93ed0c3-d447-47f0-9982-e6ff61ec625f · outbound

This paper cites Masked autoencoders are scalable vision learners.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Masked autoencoders are scalable vision learners

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T11:11:52.427578Z

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Observation d6f2accd-8ba2-4eb2-bbf0-b66d89740ccb · outbound

This paper cites Dyco3d: Robust instance segmentation of 3D point clouds through dynamic convolution.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Dyco3d: Robust instance segmentation of 3D point clouds through dynamic convolution

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.293719Z

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Observation 3e3e3cf3-4f29-4bde-b937-2d819174ccc5 · outbound

This paper cites Masked autoencoder for self-supervised pre-training on lidar point clouds.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Masked autoencoder for self-supervised pre-training on lidar point clouds

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.283145Z

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Observation 7dbecec7-aadf-4b15-bbe3-46c4cbf5c163 · outbound

This paper cites 3D-SIS: 3D se- mantic instance segmentation of rgb-d scans.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting 3D-SIS: 3D se- mantic instance segmentation of rgb-d scans

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.273262Z

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Observation 4bc5c607-3808-477c-bf86-8bcb6f6bcc94 · outbound

This paper cites Exploring data-efficient 3D scene understanding with contrastive scene contexts.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Exploring data-efficient 3D scene understanding with contrastive scene contexts

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.261242Z

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Observation 6374143a-5b2f-445b-ac9e-dcd319df0eb5 · outbound

This paper cites Ponder: Point cloud pre-training via neural rendering.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Ponder: Point cloud pre-training via neural rendering

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.250860Z

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Observation 146c8fc3-bcb7-4e9c-bf00-3e8bc68a87bc · outbound

This paper cites Spatio-temporal self-supervised representation learning for 3D point clouds.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Spatio-temporal self-supervised representation learning for 3D point clouds

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.241298Z

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Observation 40faa345-fb5c-46ab-8453-e4e12887a41b · outbound

This paper cites Pointgroup: Dual-set point group- ing for 3D instance segmentation.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Pointgroup: Dual-set point group- ing for 3D instance segmentation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.231667Z

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Observation dc095158-ac9e-45fe-bf0d-7c7e18730a7c · outbound

This paper cites Guided point contrastive learn- 9 ing for semi-supervised point cloud semantic segmentation.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Guided point contrastive learn- 9 ing for semi-supervised point cloud semantic segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.222546Z

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Observation 78d36e6a-8f3b-40ca-879c-7f77ebafdee5 · outbound

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

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting 3D gaussian splatting for real-time radiance field rendering

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.213161Z

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Observation 376cc581-df94-4c79-b44a-d8ab2a821aa5 · outbound

This paper cites PointPillars: Fast encoders for object detection from point clouds.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting PointPillars: Fast encoders for object detection from point clouds

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.204059Z

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Observation 056a7bb3-7530-4359-9858-cfc9f77bcecf · outbound

This paper cites Compact 3D gaussian representation for radiance field.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Compact 3D gaussian representation for radiance field

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.193869Z

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Observation 11886f9b-5204-4181-95cb-abc3d5bf68e4 · outbound

This paper cites Deep continuous fusion for multi-sensor 3D object detection.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Deep continuous fusion for multi-sensor 3D object detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.183922Z

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Observation 81eb7ba4-a845-4324-b2a2-7cc3d2821aad · outbound

This paper cites Semantic context encoding for accurate 3D point cloud segmentation.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Semantic context encoding for accurate 3D point cloud segmentation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.173532Z

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Observation e141a79c-eddb-4938-879c-c3f863d07e4a · outbound

This paper cites Masked discrimi- nation for self-supervised learning on point clouds.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Masked discrimi- nation for self-supervised learning on point clouds

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.163080Z

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Observation 9300b6dd-5405-49d4-9261-220067fb3225 · outbound

This paper cites Cen- tertube: Tracking multiple 3D objects with 4d tubelets in dynamic point clouds.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Cen- tertube: Tracking multiple 3D objects with 4d tubelets in dynamic point clouds

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.152546Z

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Observation 5612a110-14ca-48e1-9e99-326f7d05e3bd · outbound

This paper cites Anchor- point: Query design for transformer-based 3D object detec- tion and tracking.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Anchor- point: Query design for transformer-based 3D object detec- tion and tracking

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.141191Z

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Observation 7c846611-3961-4171-a803-41491e1293eb · outbound

This paper cites Neuraludf: Learning unsigned distance fields for multi-view reconstruction of surfaces with arbitrary topolo- gies.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Neuraludf: Learning unsigned distance fields for multi-view reconstruction of surfaces with arbitrary topolo- gies

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.129438Z

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Observation 14119f15-9375-438c-b3ff-ec07ac1effab · outbound

This paper cites Decoupled Weight Decay Regularization.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Decoupled Weight Decay Regularization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T11:11:52.500593Z

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Observation f5fb6131-a447-4f61-a91f-29c3ae82a97d · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T11:11:52.504844Z

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Observation e44f2fcc-1e96-4ea2-85f2-d2d2fded926a · outbound

This paper cites Scaffold-gs: Structured 3D gaussians for view-adaptive rendering.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Scaffold-gs: Structured 3D gaussians for view-adaptive rendering

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.118826Z

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Observation 1218a18c-3589-44e6-b054-3ee2543d4c07 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Srinivasan, Matthew Tancik, Jonathan T

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.108166Z

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Observation 6aca4ef1-3529-4cf9-80ab-2406ccd98866 · outbound

This paper cites Occupancy-mae: Self-supervised pre-training large- scale lidar point clouds with masked occupancy autoen- coders.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Occupancy-mae: Self-supervised pre-training large- scale lidar point clouds with masked occupancy autoen- coders

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.097500Z

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Observation 50978a1c-7e1b-4ca7-8ee9-b0abe73a21c8 · outbound

This paper cites An end-to- end transformer model for 3D object detection.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting An end-to- end transformer model for 3D object detection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.086796Z

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Observation a6c7f240-3dbc-4950-a72c-711fd40e4bb6 · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Instant neural graphics primitives with a mul- tiresolution hash encoding

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T11:11:52.524393Z

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Observation 9f63a87e-f83b-4e3f-8b43-272953e7164f · outbound

This paper cites Masked autoencoders for point cloud self-supervised learning.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Masked autoencoders for point cloud self-supervised learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.070472Z

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Observation 275f64ce-10fd-4967-9937-fd00cb1333b9 · outbound

This paper cites Deepsdf: Learning con- tinuous signed distance functions for shape representation.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Deepsdf: Learning con- tinuous signed distance functions for shape representation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.053012Z

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Observation 1c330185-f056-413a-8636-0fa0a2f11de0 · outbound

This paper cites Convolutional occupancy networks.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Convolutional occupancy networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.042791Z

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Observation a874da15-a606-49d7-972e-2bf2ec74784d · outbound

This paper cites PointNet: Deep learning on point sets for 3D classification and segmentation.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting PointNet: Deep learning on point sets for 3D classification and segmentation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.032205Z

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Observation 7432641d-9b69-4e6d-8679-bff450f95ecf · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.020709Z

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Observation 365ce634-6665-4e13-8bfe-ae052272aecb · outbound

This paper cites Deep hough voting for 3D object detection in point clouds.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Deep hough voting for 3D object detection in point clouds

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.010321Z

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Observation 57821188-4025-4860-b64f-6ac1813b82b6 · outbound

This paper cites Randomrooms: Unsupervised pre- training from synthetic shapes and randomized layouts for 3D object detection.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Randomrooms: Unsupervised pre- training from synthetic shapes and randomized layouts for 3D object detection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:53.000392Z

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Observation 22bb1668-563c-4956-bffa-193c8e206e99 · outbound

This paper cites Geoudf: Surface reconstruction from 3D point clouds via geometry-guided distance representation.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Geoudf: Surface reconstruction from 3D point clouds via geometry-guided distance representation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.989456Z

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Observation af8dfb93-9930-4316-b5e7-ba7eb5292b8d · outbound

This paper cites PointR- CNN: 3D object proposal generation and detection from 10 point cloud.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting PointR- CNN: 3D object proposal generation and detection from 10 point cloud

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.977851Z

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Observation 389a902d-f071-4777-b857-2e1e5efe724a · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T11:11:52.564140Z

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Observation 3c75dbdb-10e8-478a-8c1d-66a5e393511b · outbound

This paper cites Sun rgb-d: A rgb-d scene understanding benchmark suite.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Sun rgb-d: A rgb-d scene understanding benchmark suite

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T11:11:52.568628Z

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Observation 167efc51-1f23-4eee-9546-95efd9ae6dc0 · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Kpconv: Flexible and deformable convolution for point clouds

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.960790Z

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Observation 7bdac037-b115-4c01-a883-5df3078de398 · outbound

This paper cites Geo- mae: Masked geometric target prediction for self-supervised point cloud pre-training.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Geo- mae: Masked geometric target prediction for self-supervised point cloud pre-training

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.950240Z

Source-reported events for the cited work

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

Observation 583523e4-c1e8-4644-a914-bd7466ca0733 · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T11:11:52.580876Z

Source-reported events for the cited work

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Observation c2f38a00-994c-47c9-9220-af3529bca665 · outbound

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

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting FreeSplat: Generalizable 3D Gaussian Splatting Towards Free-View Synthesis of Indoor Scenes

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T11:11:52.584647Z

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Observation f68f2daf-534b-4d69-8371-89b5c4f298b8 · outbound

This paper cites Masked scene contrast: A scalable framework for unsu- pervised 3D representation learning.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Masked scene contrast: A scalable framework for unsu- pervised 3D representation learning

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.939155Z

Source-reported events for the cited work

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

Observation c3414786-b453-4c0b-b65a-5abff99c9eb8 · outbound

This paper cites Pointcontrast: Unsupervised pre- training for 3D point cloud understanding.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Pointcontrast: Unsupervised pre- training for 3D point cloud understanding

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.929517Z

Source-reported events for the cited work

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

Observation c9a524bf-a8fe-428a-9b5c-2bb5c350bb79 · outbound

This paper cites Point cloud pre- training with natural 3D structures.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Point cloud pre- training with natural 3D structures

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.919650Z

Source-reported events for the cited work

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

Observation 9ad6bc23-7b4e-4240-bcf2-9839941cd953 · outbound

This paper cites Im- plicit autoencoder for point-cloud self-supervised represen- tation learning.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Im- plicit autoencoder for point-cloud self-supervised represen- tation learning

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.908850Z

Source-reported events for the cited work

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

Observation dfa7f08e-bcd3-4e49-b3db-1e7a7bbbef1c · outbound

This paper cites Gd-mae: gen- erative decoder for mae pre-training on lidar point clouds.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Gd-mae: gen- erative decoder for mae pre-training on lidar point clouds

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.898926Z

Source-reported events for the cited work

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

Observation 4aa76c11-576f-4f29-9ca1-ba4aabeb3312 · outbound

This paper cites Pred: pre-training via semantic rendering on lidar point clouds.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Pred: pre-training via semantic rendering on lidar point clouds

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.888141Z

Source-reported events for the cited work

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

Observation e8e43362-ae88-4d59-ab89-95c9e38635ff · outbound

This paper cites Unipad: A universal pre-training paradigm for autonomous driving.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Unipad: A universal pre-training paradigm for autonomous driving

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.877953Z

Source-reported events for the cited work

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

Observation 33d26965-c040-4956-b55b-446d3cf6e170 · outbound

This paper cites 3DSSD: Point-based 3D single stage object detector.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting 3DSSD: Point-based 3D single stage object detector

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.867022Z

Source-reported events for the cited work

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

Observation b572a9a2-1db9-4aa6-b521-b1535ab0e359 · outbound

This paper cites V ol- ume rendering of neural implicit surfaces.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting V ol- ume rendering of neural implicit surfaces

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.855840Z

Source-reported events for the cited work

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

Observation 5a383522-8acd-4e3d-97fc-e5279d3b50b0 · outbound

This paper cites Gspn: Generative shape proposal network for 3D instance segmentation in point cloud.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Gspn: Generative shape proposal network for 3D instance segmentation in point cloud

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.844782Z

Source-reported events for the cited work

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

Observation 5df88edc-e919-489d-ba76-1477bc1f33d4 · outbound

This paper cites Point-bert: Pre-training 3D point cloud transformers with masked point modeling.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Point-bert: Pre-training 3D point cloud transformers with masked point modeling

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.834398Z

Source-reported events for the cited work

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

Observation 2a9dc02f-c387-42d5-a3f0-df550a4a68f0 · outbound

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

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Mip-splatting: Alias-free 3D gaussian splat- ting

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.823770Z

Source-reported events for the cited work

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

Observation 5b585798-836b-4063-86f9-50035d67189e · outbound

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

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting The unreasonable effectiveness of deep features as a perceptual metric

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.813094Z

Source-reported events for the cited work

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

Observation 92a70f3b-e401-4eb5-a128-d8833aa313ae · outbound

This paper cites Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Point-m2ae: multi-scale masked autoencoders for hierarchical point cloud pre-training

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.801188Z

Source-reported events for the cited work

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

Observation c041099b-0e0e-43f0-b1df-44bff8e49e73 · outbound

This paper cites H3dnet: 3D object detection using hybrid geometric prim- itives.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting H3dnet: 3D object detection using hybrid geometric prim- itives

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.789344Z

Source-reported events for the cited work

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

Observation 248ddad5-5df9-4f1f-9705-35d05477dc38 · outbound

This paper cites Self-supervised pretraining of 3D features on any point-cloud.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Self-supervised pretraining of 3D features on any point-cloud

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.778220Z

Source-reported events for the cited work

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

Observation ad6272db-9662-4596-86d8-ac017f748742 · outbound

This paper cites Point transformer.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Point transformer

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.766573Z

Source-reported events for the cited work

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

Observation 58bbbf89-6b61-41f7-be7e-ac15351ed198 · outbound

This paper cites V oxelNet: End-to-end learning for point cloud based 3D object detection.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting V oxelNet: End-to-end learning for point cloud based 3D object detection

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:11:52.754770Z

Source-reported events for the cited work

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

Observation b355a959-56f3-4a7d-b4b3-d4c11e7e04b3 · outbound

This paper cites PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm

Reference 74

Resolution: malformed identifier; no resolver link, observed 2026-08-12T11:11:52.652675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 654f9b0e-c8ac-47bc-bac0-41cda1ea0892 · outbound

This paper cites an unresolved cited work.

Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting Unresolved cited work

Reference 621

Resolution: parse uncertain; no resolver link, observed 2026-08-12T11:11:52.531273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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