Paper Citation Record · LEDGER

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction

As of 20 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 3 inbound Pith citation observations for arXiv:2411.15723.

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

pith.paper-citation-record.v1
2411.15723 v4

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Reference resolution

75 of 75 outbound references displayed

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External citation measurements

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Outbound references

Observation 18e1719d-f3b6-4a71-9353-2846cdb9c694 · outbound

This paper cites Sine: Semantic-driven image-based nerf editing with prior-guided editing field.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Sine: Semantic-driven image-based nerf editing with prior-guided editing field

Reference 1

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Observation ba4ebb37-fb3d-443b-9458-59264f506ee8 · outbound

This paper cites Neural-pull: Learning signed distance functions from point clouds by learning to pull space onto surfaces.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Neural-pull: Learning signed distance functions from point clouds by learning to pull space onto surfaces

Reference 2

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Observation 1379e39a-5889-4e21-acb5-5ab10111700e · outbound

This paper cites Reconstruct- ing surfaces for sparse point clouds with on-surface priors.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Reconstruct- ing surfaces for sparse point clouds with on-surface priors

Reference 3

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Observation 446e2e26-f46a-4b0b-b6f6-c2c3cb789e1c · outbound

This paper cites Barron, Ben Mildenhall, Dor Verbin, Pratul P.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Barron, Ben Mildenhall, Dor Verbin, Pratul P

Reference 4

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Observation 324d8389-0ebf-45a7-be0e-0264fcf81b15 · outbound

This paper cites pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis

Reference 5

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Observation 4e872c4f-5023-4389-82c6-7dba89ccd541 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Efficient geometry-aware 3d generative adversarial networks

Reference 6

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Observation f0f24dc0-1c8e-43a8-b6ea-589575f0b44c · outbound

This paper cites PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction

Reference 7

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Observation 31246993-f750-46c6-a92e-b80308a29883 · outbound

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

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction NeuSG: Neural Implicit Surface Reconstruction with 3D Gaussian Splatting Guidance

Reference 8

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Observation cf8aa999-162b-4842-9d2e-80a225b3a48a · outbound

This paper cites VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

Reference 9

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Observation 62aedb2a-38ff-4e2b-aec4-84e095f582c3 · outbound

This paper cites Neurbf: A neural fields repre- sentation with adaptive radial basis functions.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Neurbf: A neural fields repre- sentation with adaptive radial basis functions

Reference 10

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Observation 698c7911-a544-4212-82b3-ce4752f1a30c · outbound

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

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction High-quality surface recon- struction using gaussian surfels

Reference 11

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Observation bc76a755-fab6-40ac-8c45-e6d253d77949 · outbound

This paper cites Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling

Reference 12

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Observation f2ed98d4-15ed-4d64-852e-4a32f2fcb046 · outbound

This paper cites Plenoxels: Radiance fields without neural networks.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Plenoxels: Radiance fields without neural networks

Reference 13

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Observation a84ef201-9e52-4930-b685-b30120724518 · outbound

This paper cites Geo-neus: Geometry-consistent neural implicit sur- faces learning for multi-view reconstruction.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Geo-neus: Geometry-consistent neural implicit sur- faces learning for multi-view reconstruction

Reference 14

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Observation 7f080a27-23a9-448b-b8ec-f2d8f848dab0 · outbound

This paper cites Implicit geometric regularization for learning shapes.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Implicit geometric regularization for learning shapes

Reference 15

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Observation 03cd6017-7242-404c-a8d1-fe567eb0c6c0 · outbound

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

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering

Reference 16

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Observation 5ea56b04-a5ae-49ef-bcb7-726c78027299 · outbound

This paper cites Surface reconstruction from un- organized points.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Surface reconstruction from un- organized points

Reference 17

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Observation e416b3d9-e273-4994-ac86-591dcfac7874 · outbound

This paper cites Iterative poisson surface reconstruc- tion (ipsr) for unoriented points.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Iterative poisson surface reconstruc- tion (ipsr) for unoriented points

Reference 18

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Observation 331d43a3-8e2d-455a-86b6-9b16343e9c95 · outbound

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

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 19

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Observation 2cfe6f51-6d5b-4217-942b-520efff2bf3a · outbound

This paper cites Large scale multi-view stereopsis eval- uation.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Large scale multi-view stereopsis eval- uation

Reference 20

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Observation 719e6301-d925-4a55-85b2-a91b2f56449c · outbound

This paper cites SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction SFDM: Robust Decomposition of Geometry and Reflectance for Realistic Face Rendering from Sparse-view Images

Reference 21

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Observation 9479c606-5dce-4473-ab4a-f360ca0b378f · outbound

This paper cites Tensoir: Tensorial inverse rendering.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Tensoir: Tensorial inverse rendering

Reference 22

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GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Screened poisson sur- face reconstruction

Reference 23

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GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Poisson surface reconstruction

Reference 24

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Observation 88afe445-d2c9-4ec2-8685-c0845c71b309 · outbound

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

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction 3d gaussian splatting for real-time radiance field rendering

Reference 25

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This paper cites Adam: A Method for Stochastic Optimization.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Adam: A Method for Stochastic Optimization

Reference 26

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Observation 475d6f66-f612-4087-b867-ca75d76ea854 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 27

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GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Unresolved cited work

Reference 28

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Observation 75b05b3d-4bb6-47ad-8073-a3b41aec9480 · outbound

This paper cites Real-time volume render- ing with octree-based implicit surface representation.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Real-time volume render- ing with octree-based implicit surface representation

Reference 29

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Observation 48f56785-c010-404a-b115-61536169c793 · outbound

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

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Neuralangelo: High-fidelity neural surface reconstruction

Reference 30

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Observation a1e072f6-eca0-4a84-8cad-94dbbfaa5eae · outbound

This paper cites Sur- face reconstruction from point clouds without normals by parametrizing the gauss formula.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Sur- face reconstruction from point clouds without normals by parametrizing the gauss formula

Reference 31

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Observation fa6cbf15-339d-4618-87d3-39be5b2c6f68 · outbound

This paper cites Sparseneus: Fast generalizable neural sur- face reconstruction from sparse views.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Sparseneus: Fast generalizable neural sur- face reconstruction from sparse views

Reference 32

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Observation b9ff35dc-eb2c-4415-b29c-c446e7c2f735 · outbound

This paper cites Marching cubes: A high resolution 3d surface construction algorithm.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Marching cubes: A high resolution 3d surface construction algorithm

Reference 33

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Observation 8e6e7824-0ba7-4174-a750-5f136ba6818d · outbound

This paper cites 3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction 3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting

Reference 34

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Observation 99411307-c6aa-4ec8-b07d-df8a4d8cd66f · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Occupancy networks: Learning 3d reconstruction in function space

Reference 35

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This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 36

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Observation 4341b0b1-86aa-4aeb-b6bf-936db59ad6b0 · outbound

This paper cites Instant neural graphics primitives with a multires- olution hash encoding.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Instant neural graphics primitives with a multires- olution hash encoding

Reference 37

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Observation efbc1e75-c186-480b-af84-0d5670bca7ed · outbound

This paper cites Multi-level partition of unity implic- its.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Multi-level partition of unity implic- its

Reference 38

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Observation 73dd7346-a4da-4e0f-b3e0-3e729ddc51ee · outbound

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

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Deepsdf: Learning con- tinuous signed distance functions for shape representation

Reference 39

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Observation 9fbba433-536c-40ef-be54-4d6daba43970 · outbound

This paper cites Binary opacity grids: Capturing fine geometric detail for mesh-based view syn- thesis.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Binary opacity grids: Capturing fine geometric detail for mesh-based view syn- thesis

Reference 40

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Observation e994dbfe-e730-4b8b-94c0-5323221839e2 · outbound

This paper cites Pifu: Pixel-aligned implicit function for high-resolution clothed human digitiza- tion.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Pifu: Pixel-aligned implicit function for high-resolution clothed human digitiza- tion

Reference 41

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This paper cites Structure-from-motion revisited.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Structure-from-motion revisited

Reference 42

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Observation 6156a664-e28c-4f63-8344-df3a36365d71 · outbound

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

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Pixelwise view selection for un- structured multi-view stereo

Reference 43

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This paper cites Deep implicit moving least-squares functions for 3d reconstruction.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Deep implicit moving least-squares functions for 3d reconstruction

Reference 44

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Observation 0da2a325-b7b6-4b2f-9de6-2a57a7b8a24c · outbound

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GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Nuvo: Neural uv mapping for unruly 3d representations

Reference 45

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Observation 6df80f47-1ba7-4606-96b6-a5e90d17a310 · outbound

This paper cites Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction

Reference 46

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Observation d5bfebe1-d752-45eb-9c48-c4aad648a666 · outbound

This paper cites Neus: Learning neural im- plicit surfaces by volume rendering for multi-view recon- struction.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Neus: Learning neural im- plicit surfaces by volume rendering for multi-view recon- struction

Reference 47

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Observation 8b846e20-8aa9-4deb-89fa-7bcad41d1b6b · outbound

This paper cites Dual octree graph networks for learning adaptive volumetric shape rep- resentations.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Dual octree graph networks for learning adaptive volumetric shape rep- resentations

Reference 48

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 20cf72ac-361c-47ea-8b60-66727acd24d4 · outbound

This paper cites Hf-neus: Improved surface reconstruction using high-frequency de- tails.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Hf-neus: Improved surface reconstruction using high-frequency de- tails

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.837456Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7aaa24fc-13dc-4d6b-a521-33217f07bc64 · outbound

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

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Neus2: Fast learning of neural implicit surfaces for multi-view recon- struction

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:23.636246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72fb6404-727b-458b-8e7f-890760a4e5d2 · outbound

This paper cites Pet-neus: Positional encoding tri-planes for neural surfaces.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Pet-neus: Positional encoding tri-planes for neural surfaces

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.797195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8d433c0c-a653-4c11-965e-5ccfc7523392 · outbound

This paper cites Adaptive Shells for Efficient Neural Radiance Field Rendering.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Adaptive Shells for Efficient Neural Radiance Field Rendering

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:23.648916Z

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Unavailable: canonical work link unavailable.

Observation 5eb02183-ccee-4de5-ad9a-46f1f1d48304 · outbound

This paper cites Neural-imls: Self-supervised im- plicit moving least-squares network for surface reconstruc- tion.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Neural-imls: Self-supervised im- plicit moving least-squares network for surface reconstruc- tion

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.775596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c09d49f2-49b3-4a92-8fa1-96d5f6fe8c60 · outbound

This paper cites Neural-singular-hessian: Implicit neural representation of unoriented point clouds by enforcing sin- gular hessian.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Neural-singular-hessian: Implicit neural representation of unoriented point clouds by enforcing sin- gular hessian

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.750105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8a5500cf-b8c5-4ae4-b507-61feb274adcd · outbound

This paper cites GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:23.677761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66e0ca69-b378-4c5e-87c9-a9a607577ea9 · outbound

This paper cites Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:23.684564Z

Source-reported events for the cited work

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Observation e1369c4a-c6ef-416c-93d1-058d1a4a4397 · outbound

This paper cites Omniobject3d: Large-vocabulary 3d object dataset for realistic perception, reconstruction and generation.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Omniobject3d: Large-vocabulary 3d object dataset for realistic perception, reconstruction and generation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.725424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 14272579-9374-451c-8a0c-c64754f73d94 · outbound

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

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction GaussianRoom: Improving 3D Gaussian Splatting with SDF Guidance and Monocular Cues for Indoor Scene Reconstruction

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:23.697551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3e8c32d-aa48-4c23-beeb-49fe6f58af78 · outbound

This paper cites Deformable model-driven neural rendering for high-fidelity 3d reconstruction of human heads under low- view settings.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Deformable model-driven neural rendering for high-fidelity 3d reconstruction of human heads under low- view settings

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.702533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3b571cc-d0aa-4ce4-ab47-3f5d0bcc3e2b · outbound

This paper cites Parameterization-driven neu- ral surface reconstruction for object-oriented editing in neu- ral rendering.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Parameterization-driven neu- ral surface reconstruction for object-oriented editing in neu- ral rendering

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.676714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 26b88415-2461-4c0e-826c-9a12b901b7d0 · outbound

This paper cites Globally consistent normal orientation for point clouds by regularizing the winding-number field.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Globally consistent normal orientation for point clouds by regularizing the winding-number field

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.648728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 779eb374-81ae-418f-92b1-38417ed43335 · outbound

This paper cites Multiview neu- ral surface reconstruction by disentangling geometry and ap- pearance.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Multiview neu- ral surface reconstruction by disentangling geometry and ap- pearance

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.626629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1a934494-3add-41b2-80ae-0edcd81f9cce · outbound

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

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction V ol- ume rendering of neural implicit surfaces

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.596955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9dc408c5-3ce9-4c1e-868d-29585aa4bd0d · outbound

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

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:23.736091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d044df51-748d-4948-b968-1d804657a7b5 · outbound

This paper cites Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:23.742082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59095fb9-1735-4273-b11f-328574c3b296 · outbound

This paper cites General Neural Gauge Fields.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction General Neural Gauge Fields

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:02:24.081561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 60be5aeb-81bb-43d4-bcf2-e6b69d51453d · outbound

This paper cites PG-NeuS: Robust and Efficient Point Guidance for Multi-View Neural Surface Reconstruction.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction PG-NeuS: Robust and Efficient Point Guidance for Multi-View Neural Surface Reconstruction

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:02:24.050530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a4a4d90d-4417-4726-9c31-87318f8f73d3 · outbound

This paper cites From transparent to opaque: Rethinking neural implicit surfaces with α-neus.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction From transparent to opaque: Rethinking neural implicit surfaces with α-neus

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.572580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 58de13a7-bb4a-4c8e-ad9d-fe126342996b · outbound

This paper cites Neilf++: Inter-reflectable light fields for geometry and material esti- mation.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Neilf++: Inter-reflectable light fields for geometry and material esti- mation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.551348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3e053f36-9ec7-4873-bf71-b09aa0899212 · outbound

This paper cites Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Spiking GS: Towards High-Accuracy and Low-Cost Surface Reconstruction via Spiking Neuron-based Gaussian Splatting

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:23.771689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b13c2e4-d44a-484f-be39-81244d859eb2 · outbound

This paper cites Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:23.778038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f2531bd-e62a-4473-abe0-693315eb472b · outbound

This paper cites Ner- factor: Neural factorization of shape and reflectance under an unknown illumination.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Ner- factor: Neural factorization of shape and reflectance under an unknown illumination

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:23.784128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7915d32a-e384-4ff1-9984-127501e99063 · outbound

This paper cites Pointavatar: Deformable point-based head avatars from videos.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Pointavatar: Deformable point-based head avatars from videos

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.512199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4111ea65-861b-4273-b7ad-271d1ce05ad6 · outbound

This paper cites an unresolved cited work.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:02:24.485131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b979caff-aa8c-42f4-ab6c-8819e52820e9 · outbound

This paper cites 8 and Fig.

GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction 8 and Fig

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:02:24.461072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 48ca3713-8f50-4131-bf59-6abde7d87274 · inbound

Revisiting Photometric Ambiguity for Accurate Gaussian-Splatting Surface Reconstruction cites this paper.

Revisiting Photometric Ambiguity for Accurate Gaussian-Splatting Surface Reconstruction GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-10T01:19:37.718198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 485d1030-0831-465b-9d30-e556ca5bdd52 · inbound

Gaussian-Voxel Duet: A Dual-Scaffolding Hybrid Representation for Fast and Accurate Monocular Surface Reconstruction cites this paper.

Gaussian-Voxel Duet: A Dual-Scaffolding Hybrid Representation for Fast and Accurate Monocular Surface Reconstruction GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-10T01:19:37.718198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4b45807a-d79a-4129-9630-fb6136dd6795 · inbound

Surfsvr: 2D Surface Priors as 3D Geometric Regularizers for Sparse Voxel Reconstruction cites this paper.

Surfsvr: 2D Surface Priors as 3D Geometric Regularizers for Sparse Voxel Reconstruction GSurf: Learning Signed Distance Fields from Splatting Opaque Gaussians for High-quality 3D Reconstruction

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T00:25:37.079479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.