G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation | Paper Citation Record

Observation 130b8b03-aa7c-4602-aed0-4865461a7445 · outbound

This paper cites The lov´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation The lov´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Reference 1

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Observation d0d32fd8-5a54-47c1-9c09-5940713502b4 · outbound

This paper cites On a measure of divergence between two multinomial populations.Sankhy ¯a: the indian journal of statistics, pages 401–406, 1946.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation On a measure of divergence between two multinomial populations.Sankhy ¯a: the indian journal of statistics, pages 401–406, 1946

Reference 2

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Observation 3cfd4158-4454-4eb5-a106-2055b8b927ec · outbound

This paper cites Segment any 3d gaussians.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Segment any 3d gaussians

Reference 3

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Observation 4d65d619-c83b-4491-8921-79df1b59dbfa · outbound

This paper cites Matterport3D: Learning from RGB-D Data in Indoor Environments.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Matterport3D: Learning from RGB-D Data in Indoor Environments

Reference 4

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Observation 04eb1ec2-3095-4517-9519-8a8bdac2efbf · outbound

This paper cites Bridging the domain gap: Self-supervised 3d scene under- standing with foundation models.Advances in Neural Infor- mation Processing Systems, 36:79226–79239, 2023.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Bridging the domain gap: Self-supervised 3d scene under- standing with foundation models.Advances in Neural Infor- mation Processing Systems, 36:79226–79239, 2023

Reference 5

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Observation 5fdb65e8-db7a-4f8c-a5f7-987345daed66 · outbound

This paper cites A unified point-based framework for 3d segmentation.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation A unified point-based framework for 3d segmentation

Reference 6

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Observation 153265b1-4881-4d0d-aa1c-fca8e21249c1 · outbound

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

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 7

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Observation 72ca6586-9f07-4aaa-a72e-9e7a164917fe · outbound

This paper cites 3dmv: Joint 3d-multi- view prediction for 3d semantic scene segmentation.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation 3dmv: Joint 3d-multi- view prediction for 3d semantic scene segmentation

Reference 8

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Observation 5890d9f2-bf66-4412-b4fd-1f709b97db1e · outbound

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

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 9

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Observation fcd0ac19-bb63-4bf6-84e5-726583908679 · outbound

This paper cites Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration.ACM Transactions on Graphics (ToG), 36(4): 1, 2017.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration.ACM Transactions on Graphics (ToG), 36(4): 1, 2017

Reference 10

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Observation 1053a211-b529-46e9-9fe7-fb9f7554e270 · outbound

This paper cites Bgpseg: Boundary-guided prim- itive instance segmentation of point clouds.IEEE Transac- tions on Image Processing, 2025.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Bgpseg: Boundary-guided prim- itive instance segmentation of point clouds.IEEE Transac- tions on Image Processing, 2025

Reference 11

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Observation 8e2e7943-f5de-4d10-b588-1dd9412e3b3e · outbound

This paper cites Learning 3d semantic segmentation with only 2d image supervision.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Learning 3d semantic segmentation with only 2d image supervision

Reference 12

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Observation a1b11526-8ef2-4cf8-9cd4-bc0302ad15e4 · outbound

This paper cites Boundary-aware geometric en- coding for semantic segmentation of point clouds.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Boundary-aware geometric en- coding for semantic segmentation of point clouds

Reference 13

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Observation 6a02c143-5ed9-4277-a32f-bbd88a77bc43 · outbound

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

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering

Reference 14

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Observation 7a6ab2ed-e3fd-4fc3-b8a1-05cec05265dd · outbound

This paper cites Deep learning for 3d point clouds: A survey.IEEE transactions on pattern analysis and machine intelligence, 43(12):4338–4364, 2020.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Deep learning for 3d point clouds: A survey.IEEE transactions on pattern analysis and machine intelligence, 43(12):4338–4364, 2020

Reference 15

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Observation db349fb0-dbf5-45f3-96c7-1122d781c19b · outbound

This paper cites All in one: Visual-description-guided unified point cloud segmen- tation.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation All in one: Visual-description-guided unified point cloud segmen- tation

Reference 16

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Observation 77d81f5f-8e1c-4795-b0fc-6f346c0dfcf3 · outbound

This paper cites ReferSplat: Referring Segmentation in 3D Gaussian Splatting.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation ReferSplat: Referring Segmentation in 3D Gaussian Splatting

Reference 17

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Observation 614d3424-68d4-48a6-9694-85847b5bc284 · outbound

This paper cites Bidirectional projection network for cross dimension scene understanding.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Bidirectional projection network for cross dimension scene understanding

Reference 18

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Observation d6f9aac7-1467-4830-b3ec-01e1d7783064 · outbound

This paper cites Jsenet: Joint semantic segmentation and edge detection network for 3d point clouds.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Jsenet: Joint semantic segmentation and edge detection network for 3d point clouds

Reference 19

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Observation 22ccd4a2-495a-4a01-8468-34e3669ff5e2 · outbound

This paper cites Odin: A single model for 2d and 3d segmentation.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Odin: A single model for 2d and 3d segmentation

Reference 20

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Observation 7dc4ca89-e6d5-4af9-99a3-17dc6f5eedd6 · outbound

This paper cites Identity-aware language gaussian splatting for open-vocabulary 3d semantic segmen- tation.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Identity-aware language gaussian splatting for open-vocabulary 3d semantic segmen- tation

Reference 21

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Observation 14f4f2f6-c8ef-422d-bc06-1eed42a35ea1 · outbound

This paper cites Multi-view pointnet for 3d scene understanding.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Multi-view pointnet for 3d scene understanding

Reference 22

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Observation 4648eab7-a101-4f3e-87b9-2a8b080d8334 · outbound

This paper cites an unresolved cited work.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Unresolved cited work

Reference 23

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Observation 631acd9d-cbb5-4ce1-87ab-e169101f3193 · outbound

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

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics, 42 (4), 2023

Reference 24

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Observation be4dd5ca-2bcf-458e-9cd8-b2f327ea0513 · outbound

This paper cites Segment any- thing.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Segment any- thing

Reference 25

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Observation 4bd79443-5858-4697-92de-6cc1ba445616 · outbound

This paper cites Oneformer3d: One transformer for unified point cloud segmentation.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Oneformer3d: One transformer for unified point cloud segmentation

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Observation 7c3e4854-a5b0-44cc-a03b-3c41ecdadce3 · outbound

This paper cites Virtual multi-view fusion for 3d semantic segmentation.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Virtual multi-view fusion for 3d semantic segmentation

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Observation ef7f719d-45cc-4606-95df-23b6e8ae8b74 · outbound

This paper cites Joint learning of 2d- 3d weakly supervised semantic segmentation.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Joint learning of 2d- 3d weakly supervised semantic segmentation

Reference 28

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Observation 2d0b820c-3313-4375-8707-aef03df4554b · outbound

This paper cites Pointcnn: Convolution on x-transformed points.Advances in neural information processing systems, 31, 2018.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Pointcnn: Convolution on x-transformed points.Advances in neural information processing systems, 31, 2018

Reference 29

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Observation 01cf6148-8a6e-466c-8864-07b1276a79a8 · outbound

This paper cites Scenesplat: Gaussian splatting-based scene understanding with vision-language pretraining.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Scenesplat: Gaussian splatting-based scene understanding with vision-language pretraining

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Observation a4f63522-be37-4dad-bfe4-6a83507cc60c · outbound

This paper cites Rea- songrounder: Lvlm-guided hierarchical feature splatting for open-vocabulary 3d visual grounding and reasoning.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Rea- songrounder: Lvlm-guided hierarchical feature splatting for open-vocabulary 3d visual grounding and reasoning

Reference 31

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Observation e3953b06-3928-4dce-893b-4d874c015bd0 · outbound

This paper cites Decoupled Weight Decay Regularization.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Decoupled Weight Decay Regularization

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Observation c252ff3a-3a31-4e42-a3fa-b1b89262c332 · outbound

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

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Scaffold-gs: Structured 3d gaussians for view-adaptive rendering

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Observation c081405f-4ec4-4571-8ccf-43d4c8c4aa3c · outbound

This paper cites A large-scale dataset of gaussian splats and their self-supervised pretrain- ing.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation A large-scale dataset of gaussian splats and their self-supervised pretrain- ing

Reference 34

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Observation 92f20bfe-bec1-41a6-9c2b-29a13a6e4e44 · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation V-net: Fully convolutional neural networks for volumetric medical image segmentation

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Observation 7c3d8c03-c005-4ec8-ae3a-67a789020748 · outbound

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

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Pointnet: Deep learning on point sets for 3d classification and segmentation

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Observation 4e546a6f-006e-4c34-84e6-910ecea635de · outbound

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

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Pointnet++: Deep hierarchical feature learning on point sets in a metric space

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Observation c73cc4de-5cc9-43eb-9229-d757025a14a5 · outbound

This paper cites Langsplat: 3d language gaussian splatting.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Langsplat: 3d language gaussian splatting

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Observation 56fbbd4e-570f-4293-bdb1-1083677d1581 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Learning transferable visual models from natural language supervi- sion

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Observation 324fab19-974b-4b30-a660-28e821483d2d · outbound

This paper cites Learn- ing multi-view aggregation in the wild for large-scale 3d se- mantic segmentation.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Learn- ing multi-view aggregation in the wild for large-scale 3d se- mantic segmentation

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Observation 941061f2-835d-4f89-926e-48f0a0bc28e2 · outbound

This paper cites Edge-aware 3d instance segmentation network with intelligent semantic prior.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Edge-aware 3d instance segmentation network with intelligent semantic prior

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Observation 280123cc-ff15-4f09-b1b1-e1d3d1406922 · outbound

This paper cites Language- grounded indoor 3d semantic segmentation in the wild.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Language- grounded indoor 3d semantic segmentation in the wild

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Observation 364470ef-6f3e-4fbd-9ab8-3d1a6e17e4b3 · outbound

This paper cites Indoorgs: Geometric cues guided gaussian splatting for indoor scene reconstruction.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Indoorgs: Geometric cues guided gaussian splatting for indoor scene reconstruction

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Observation 3a46d219-c330-4ac5-a126-13a5cede0dd0 · outbound

This paper cites Trace3d: Consistent segmen- tation lifting via gaussian instance tracing.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Trace3d: Consistent segmen- tation lifting via gaussian instance tracing

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Observation 851d6be2-3b7f-4913-8bb7-8fc434d3594c · outbound

This paper cites Flashsplat: 2d to 3d gaussian splatting segmentation solved optimally.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Flashsplat: 2d to 3d gaussian splatting segmentation solved optimally

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Observation 392202fe-222e-4859-a9b8-d1f23504d4c8 · outbound

This paper cites Multi-view convolutional neural networks for 3d shape recognition.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Multi-view convolutional neural networks for 3d shape recognition

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Observation 08c1542a-731a-4cc9-80da-78383c7a26de · outbound

This paper cites Contrastive boundary learning for point cloud segmentation.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Contrastive boundary learning for point cloud segmentation

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Observation d1231f6c-8629-4e7b-b40f-7a627b7f5fd8 · outbound

This paper cites Octformer: Octree-based transformers for 3d point clouds.ACM Transactions on Graphics (TOG), 42(4):1–11, 2023.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Octformer: Octree-based transformers for 3d point clouds.ACM Transactions on Graphics (TOG), 42(4):1–11, 2023

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Observation 582b6208-35f6-42f0-b456-94b4f776291b · outbound

This paper cites Unipre3d: Unified pre-training of 3d point cloud models with cross-modal gaussian splatting.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Unipre3d: Unified pre-training of 3d point cloud models with cross-modal gaussian splatting

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Observation f67b84f2-974f-46a7-99f4-a6ba8b5d0d95 · outbound

This paper cites Dc- seg: Decoupled 3d open-set segmentation using gaussian splatting.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Dc- seg: Decoupled 3d open-set segmentation using gaussian splatting

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Observation c42aa2c3-23cc-495a-9f7e-58abc322ab65 · outbound

This paper cites Pointconv: Deep convolutional networks on 3d point clouds.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Pointconv: Deep convolutional networks on 3d point clouds

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Observation 5011292e-6e67-466c-a1b6-ef19bd84e396 · outbound

This paper cites Point transformer v3: Simpler faster stronger.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Point transformer v3: Simpler faster stronger

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Observation d11ec232-ed6d-4ec3-8143-2e4a80f3ea74 · outbound

This paper cites Sonata: Self- supervised learning of reliable point representations.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Sonata: Self- supervised learning of reliable point representations

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Observation 54b99966-7ae9-4f77-86d0-fcd1f4896823 · outbound

This paper cites Opengaussian: Towards point-level 3d gaussian-based open vocabulary understanding.Advances in Neural Information Processing Systems, 37:19114–19138,.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Opengaussian: Towards point-level 3d gaussian-based open vocabulary understanding.Advances in Neural Information Processing Systems, 37:19114–19138,

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Observation 4fca4589-3407-4a76-aa95-87aa6a831c7e · outbound

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

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Pointcontrast: Unsupervised pre- training for 3d point cloud understanding

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T12:20:45.548816Z

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Observation 035a3c5d-034b-4835-847a-ac722f4a6ab5 · outbound

This paper cites In- vestigate indistinguishable points in semantic segmentation of 3d point cloud.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation In- vestigate indistinguishable points in semantic segmentation of 3d point cloud

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T12:20:45.629055Z

Source-reported events for the cited work

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Observation 59fdc0d8-2501-4252-ba8b-dcc211af2504 · outbound

This paper cites 2d-3d interlaced transformer for point cloud segmentation with scene-level supervision.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation 2d-3d interlaced transformer for point cloud segmentation with scene-level supervision

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T12:20:45.759742Z

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Observation 2b1c1601-7368-47cf-a14d-e4c850d23d8b · outbound

This paper cites Gaussian grouping: Segment and edit anything in 3d scenes.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Gaussian grouping: Segment and edit anything in 3d scenes

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T12:20:45.883585Z

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Observation 675be24f-2b2d-4195-8f97-df2c25443851 · outbound

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

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Scannet++: A high-fidelity dataset of 3d in- door scenes

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T12:20:45.994529Z

Source-reported events for the cited work

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Observation afe73196-5af9-4fe1-9190-0acbb10b17bf · outbound

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

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Gaussian opacity fields: Efficient adaptive surface reconstruction in unbounded scenes.ACM Transactions on Graphics (ToG), 43(6):1–13, 2024

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T12:20:46.059035Z

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Observation 59e40cbe-fb2c-4600-a37f-7f154b2e3e7d · outbound

This paper cites Panogs: Gaussian-based panoptic seg- mentation for 3d open vocabulary scene understanding.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Panogs: Gaussian-based panoptic seg- mentation for 3d open vocabulary scene understanding

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T12:20:46.134260Z

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Observation 2f325cc4-c1ed-44f2-bc01-fd190aac1ac4 · outbound

This paper cites Mitigating ambiguities in 3d classification with gaussian splatting.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Mitigating ambiguities in 3d classification with gaussian splatting

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T12:20:46.212349Z

Source-reported events for the cited work

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Observation a5073afd-6e01-4262-9ef4-d75d6af30f0b · outbound

This paper cites Bfanet: Revisiting 3d semantic segmentation with boundary feature analysis.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Bfanet: Revisiting 3d semantic segmentation with boundary feature analysis

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T12:20:46.287845Z

Source-reported events for the cited work

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Observation 0c7d27b8-270b-4a1d-965c-bf9b045600f0 · outbound

This paper cites Understanding imbalanced semantic segmentation through neural collapse.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Understanding imbalanced semantic segmentation through neural collapse

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T12:20:46.362580Z

Source-reported events for the cited work

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Observation 995047e7-6111-434f-bca1-4545d36b39ea · outbound

This paper cites Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T12:20:46.417813Z

Source-reported events for the cited work

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Observation 1dd32b56-564f-46aa-b061-b647ef7917ad · outbound

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

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T12:20:46.468030Z

Source-reported events for the cited work

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Observation 4f992c0f-1dc0-476b-90d8-3e2b35b6533a · outbound

This paper cites Rethinking end- to-end 2d to 3d scene segmentation in gaussian splatting.

G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation Rethinking end- to-end 2d to 3d scene segmentation in gaussian splatting

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T12:20:46.547905Z

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