On the public citation graph
Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis
0 signed · 82 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-58452-8_24openalex-snapshot
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
inferredcites →https://doi.org/10.1007/978-3-031-19824-3_20openalex-snapshot
TensoRF: Tensorial Radiance Fields
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_54openalex-snapshot
Let There Be Color! Large-Scale Texturing of 3D Reconstructions
inferredcites →https://doi.org/10.1007/978-3-319-46487-9_31openalex-snapshot
Pixelwise View Selection for Unstructured Multi-View Stereo
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1109/cvpr.2011.5995693openalex-snapshot
Multi-view reconstruction preserving weakly-supported surfaces
inferredcites →https://doi.org/10.1109/cvpr.2018.00308openalex-snapshot
Deep Marching Cubes: Learning Explicit Surface Representations
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00356openalex-snapshot
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00536openalex-snapshot
Point-NeRF: Point-based Neural Radiance Fields
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00539openalex-snapshot
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00542openalex-snapshot
Plenoxels: Radiance Fields without Neural Networks
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00609openalex-snapshot
Multi-View Mesh Reconstruction with Neural Deferred Shading
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00810openalex-snapshot
Extracting Triangular 3D Models, Materials, and Lighting From Images
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00017openalex-snapshot
Plen-VDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00817openalex-snapshot
Neuralangelo: High-Fidelity Neural Surface Reconstruction
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01590openalex-snapshot
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
inferredcites →https://doi.org/10.1109/cvpr52733.2024.00512openalex-snapshot
SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
inferredcites →https://doi.org/10.1109/iccv48922.2021.00554openalex-snapshot
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
inferredcites →https://doi.org/10.1109/iccv48922.2021.00570openalex-snapshot
PlenOctrees for Real-time Rendering of Neural Radiance Fields
inferredcites →https://doi.org/10.1109/iccv48922.2021.00582openalex-snapshot
Baking Neural Radiance Fields for Real-Time View Synthesis
inferredcites →https://doi.org/10.1109/iccv48922.2021.01408openalex-snapshot
FastNeRF: High-Fidelity Neural Rendering at 200FPS
inferredcites →https://doi.org/10.1109/iccv51070.2023.00305openalex-snapshot
NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction
inferredcites →https://doi.org/10.1109/iccv51070.2023.01626openalex-snapshot
Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
inferredcites →https://doi.org/10.1109/iccv51070.2023.01804openalex-snapshot
Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
inferredcites →https://doi.org/10.1111/cgf.14018openalex-snapshot
A Survey of Temporal Antialiasing Techniques
inferredcites →https://doi.org/10.1111/cgf.14339openalex-snapshot
Point‐Based Neural Rendering with Per‐View Optimization
inferredcites →https://doi.org/10.1145/237170.237269openalex-snapshot
A volumetric method for building complex models from range images
inferredcites →https://doi.org/10.1145/258734.258849openalex-snapshot
Surface simplification using quadric error metrics
inferredcites →https://doi.org/10.1145/344779.344925openalex-snapshot
Surface light fields for 3D photography
inferredcites →https://doi.org/10.1145/3469842openalex-snapshot
Free-viewpoint Indoor Neural Relighting from Multi-view Stereo
inferredcites →https://doi.org/10.1145/3528223.3530127openalex-snapshot
Instant neural graphics primitives with a multiresolution hash encoding
inferredcites →https://doi.org/10.1145/3588432.3591536openalex-snapshot
BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis
inferredcites →https://doi.org/10.1145/3592426openalex-snapshot
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes
inferredcites →https://doi.org/10.1145/3592430openalex-snapshot
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization
inferredcites →https://doi.org/10.1145/3592433openalex-snapshot
3D Gaussian Splatting for Real-Time Radiance Field Rendering
inferredcites →https://doi.org/10.1145/3610548.3618161openalex-snapshot
VMesh: Hybrid Volume-Mesh Representation for Efficient View Synthesis
inferredcites →https://doi.org/10.1145/3610548.3618197openalex-snapshot
Anti-Aliased Neural Implicit Surfaces with Encoding Level of Detail
inferredcites →https://doi.org/10.1145/3618390openalex-snapshot
Adaptive Shells for Efficient Neural Radiance Field Rendering
inferredcites →https://doi.org/10.1145/3641519.3657428openalex-snapshot
2D Gaussian Splatting for Geometrically Accurate Radiance Fields
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-72627-9_25openalex-snapshot
Surface Reconstruction from 3D Gaussian Splatting via Local Structural Hints
inferred← citeshttps://doi.org/10.1007/978-3-031-73650-6_24openalex-snapshot
Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering
inferred← citeshttps://doi.org/10.1007/978-3-032-37095-2_4openalex-snapshot
From Blobs to Spokes: High-Fidelity Surface Reconstruction via Oriented Gaussians
inferred← citeshttps://doi.org/10.1007/978-3-032-37531-5_9openalex-snapshot
Nexels: Neurally-Textured Surfels for Real-Time Novel View Synthesis with Sparse Primitives
inferred← citeshttps://doi.org/10.1007/s00371-026-04423-zopenalex-snapshot
UniGS: unified geometry reconstruction for specular and semi-transparent surfaces via 3D Gaussian splatting
inferred← citeshttps://doi.org/10.1007/s41064-026-00403-zopenalex-snapshot
Aero-NeRF Leveraging Transient Masking and Occupancy-Field DSM Reconstruction
inferred← citeshttps://doi.org/10.1016/j.cad.2026.104106openalex-snapshot
GSurf: Learning signed distance fields from splatting opaque Gaussians for high-quality 3D reconstruction
inferred← citeshttps://doi.org/10.1016/j.cag.2025.104361openalex-snapshot
SDLKF: Signed Distance Linear Kernel Function for surface reconstruction
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133170openalex-snapshot
3D Gaussian splatting for reconstruction: Methods, datasets, and comparisons
inferred← citeshttps://doi.org/10.1109/3dv66043.2025.00018openalex-snapshot
RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real- Time Rendering with 900+ FPS
inferred← citeshttps://doi.org/10.1109/3dv66043.2025.00021openalex-snapshot
INPC: Implicit Neural Point Clouds for Radiance Field Rendering
inferred← citeshttps://doi.org/10.1109/3dv66043.2025.00035openalex-snapshot
Oblique-MERF: Revisiting and Improving MERF for Oblique Photography
inferred← citeshttps://doi.org/10.1109/3dv66043.2025.00083openalex-snapshot
Mesh Extraction for Unbounded Scenes Using Camera-Aware Octrees
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.01509openalex-snapshot
Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.01991openalex-snapshot
Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshes
inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00288openalex-snapshot
Analyzing the Internals of Neural Radiance Fields
inferred← citeshttps://doi.org/10.1109/dicta63115.2024.00108openalex-snapshot
Improved Safety and 3D Scanning with Human-Robot Collaboration
inferred← citeshttps://doi.org/10.1109/icce63647.2025.10929853openalex-snapshot
FLASH: Froxel Based Light-field Acceleration System for High-efficiency GPU Rendering
inferred← citeshttps://doi.org/10.1109/iros58592.2024.10802493openalex-snapshot
Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3538684openalex-snapshot
3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3544760openalex-snapshot
Mesh-Aligned 3D Gaussian Splatting for Multi-Resolution Anti-Aliasing Rendering
inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3700478openalex-snapshot
Toward Immersive Volumetric Space: Capture, Reconstruction, and Application
inferred← citeshttps://doi.org/10.1111/cgf.70014openalex-snapshot
Efficient Perspective‐Correct 3D Gaussian Splatting Using Hybrid Transparency
inferred← citeshttps://doi.org/10.1111/cgf.70179openalex-snapshot
Multiview Geometric Regularization of Gaussian Splatting for Accurate Radiance Fields
inferred← citeshttps://doi.org/10.1111/cgf.70287openalex-snapshot
NePO: Neural Point Octrees for Large‐Scale Novel View Synthesis
inferred← citeshttps://doi.org/10.1145/3675370openalex-snapshot
Frustum Volume Caching for Accelerated NeRF Rendering
inferred← citeshttps://doi.org/10.1145/3721238.3730599openalex-snapshot
SqueezeMe: Mobile-Ready Distillation of Gaussian Full-Body Avatars
inferred← citeshttps://doi.org/10.1145/3721238.3730713openalex-snapshot
Radiance Surfaces: Optimizing Surface Representations with a 5D Radiance Field Loss
inferred← citeshttps://doi.org/10.1145/3728302openalex-snapshot
VR-Splatting: Foveated Radiance Field Rendering via 3D Gaussian Splatting and Neural Points
inferred← citeshttps://doi.org/10.1145/3746027.3755649openalex-snapshot
Robust Gaussian Surface Reconstruction with Semantic Aware Progressive Propagation
inferred← citeshttps://doi.org/10.1145/3757377.3763933openalex-snapshot
SOF: Sorted Opacity Fields for Fast Unbounded Surface Reconstruction
inferred← citeshttps://doi.org/10.1145/3757377.3763957openalex-snapshot
Neural Texture Splatting: Expressive 3D Gaussian Splatting for View Synthesis, Geometry, and Dynamic Reconstruction
inferred← citeshttps://doi.org/10.1145/3799902.3811155openalex-snapshot
Distance Field Rasterization for End-to-End Mesh Reconstruction
inferred← citeshttps://doi.org/10.62051/26c21r61openalex-snapshot
NeRF-based Real-Time Rendering Photo-Realistic Graphics Methods Review
inferred← citeshttps://doi.org/10.7717/peerj-cs.3034openalex-snapshot
A survey on surface reconstruction based on 3D Gaussian splatting
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.