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SDF-constructor: Surfel-Based SDF Construction from Gaussian Primitives

License: CC BY-NC-SA 4.0

This is the rasterization and TSDF reconstruction engine for the paper "GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction".
The project builds upon 2D Gaussian Splatting.

Usage

# Clone with submodules
git clone --recursive https://github.com/DonaldTrump-coder/SDF-constructor.git
cd SDF-constructor
# Install
pip install .

License

This repository contains code under two licenses:

CodeLicenseFile
Original / modified GS & 2DGS code (cuda_rasterizer/, third_party/, rasterize_points.cu, rasterize_points.h, ext.cpp, portions of setup.py)Gaussian-Splatting License (Inria / MPII, research-only)LICENSE.md
Our original contributions (TSDF_forGS/, meshing_surfel_rasterization/)CC BY-NC-SA 4.0LICENSE.md

Both licenses restrict use to non-commercial research purposes. Commercial use requires prior consent from the respective licensors.

Citation

If you find our work useful in your research, please cite both our paper and the upstream works:

@article{tang2026gssa,
title = {GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction},
author = {Tang, Haojun and Zou, Siyuan and Pan, Hongbo and Lu, Yixin and Zhou, Shun},
journal = {Remote Sensing},
year = {2026}
}

Upstream works

@inproceedings{Huang2DGS2024,
title={2D Gaussian Splatting for Geometrically Accurate Radiance Fields},
author={Huang, Binbin and Yu, Zehao and Chen, Anpei and Geiger, Andreas and Gao, Shenghua},
booktitle={SIGGRAPH 2024 Conference Papers},
year={2024},
doi={10.1145/3641519.3657428}
}
@Article{kerbl3Dgaussians,
author={Kerbl, Bernhard and Kopanas, Georgios and Leimk{\"u}hler, Thomas and Drettakis, George},
title={3D Gaussian Splatting for Real-Time Radiance Field Rendering},
journal={ACM Transactions on Graphics},
number={4},
volume={42},
month={July},
year={2023},
url={https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/}
}

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Voxel SDF constructor from Gaussian Surfels

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cpppythonsdf

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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SDF-constructor: Surfel-Based SDF Construction from Gaussian Primitives
License: CC BY-NC-SA 4.0
This is the rasterization and TSDF reconstruction engine for the paper "GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction".

The project builds upon 2D Gaussian Splatting.
Usage
# Clone with submodules
git clone --recursive https://github.com/DonaldTrump-coder/SDF-constructor.git
cd SDF-constructor
# Install
pip install .

License
This repository contains code under two licenses:
CodeLicenseFile
Original / modified GS & 2DGS code (cuda_rasterizer/, third_party/, rasterize_points.cu, rasterize_points.h, ext.cpp, portions of setup.py)Gaussian-Splatting License (Inria / MPII, research-only)LICENSE.md
Our original contributions (TSDF_forGS/, meshing_surfel_rasterization/)CC BY-NC-SA 4.0LICENSE.md
Both licenses restrict use to non-commercial research purposes. Commercial use requires prior consent from the respective licensors.
Citation
If you find our work useful in your research, please cite both our paper and the upstream works:
@article{tang2026gssa,
title = {GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction},
author = {Tang, Haojun and Zou, Siyuan and Pan, Hongbo and Lu, Yixin and Zhou, Shun},
journal = {Remote Sensing},
year = {2026}
}
Upstream works
@inproceedings{Huang2DGS2024,
title={2D Gaussian Splatting for Geometrically Accurate Radiance Fields},
author={Huang, Binbin and Yu, Zehao and Chen, Anpei and Geiger, Andreas and Gao, Shenghua},
booktitle={SIGGRAPH 2024 Conference Papers},
year={2024},
doi={10.1145/3641519.3657428}
}
@Article{kerbl3Dgaussians,
author={Kerbl, Bernhard and Kopanas, Georgios and Leimk{\"u}hler, Thomas and Drettakis, George},
title={3D Gaussian Splatting for Real-Time Radiance Field Rendering},
journal={ACM Transactions on Graphics},
number={4},
volume={42},
month={July},
year={2023},
url={https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/}
}
About
Voxel SDF constructor from Gaussian Surfels
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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SDF-constructor: Surfel-Based SDF Construction from Gaussian Primitives
License: CC BY-NC-SA 4.0
This is the rasterization and TSDF reconstruction engine for the paper "GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction".

The project builds upon 2D Gaussian Splatting.
Usage
# Clone with submodules
git clone --recursive https://github.com/DonaldTrump-coder/SDF-constructor.git
cd SDF-constructor
# Install
pip install .

License
This repository contains code under two licenses:
CodeLicenseFile
Original / modified GS & 2DGS code (cuda_rasterizer/, third_party/, rasterize_points.cu, rasterize_points.h, ext.cpp, portions of setup.py)Gaussian-Splatting License (Inria / MPII, research-only)LICENSE.md
Our original contributions (TSDF_forGS/, meshing_surfel_rasterization/)CC BY-NC-SA 4.0LICENSE.md
Both licenses restrict use to non-commercial research purposes. Commercial use requires prior consent from the respective licensors.
Citation
If you find our work useful in your research, please cite both our paper and the upstream works:
@article{tang2026gssa,
title = {GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction},
author = {Tang, Haojun and Zou, Siyuan and Pan, Hongbo and Lu, Yixin and Zhou, Shun},
journal = {Remote Sensing},
year = {2026}
}
Upstream works
@inproceedings{Huang2DGS2024,
title={2D Gaussian Splatting for Geometrically Accurate Radiance Fields},
author={Huang, Binbin and Yu, Zehao and Chen, Anpei and Geiger, Andreas and Gao, Shenghua},
booktitle={SIGGRAPH 2024 Conference Papers},
year={2024},
doi={10.1145/3641519.3657428}
}
@Article{kerbl3Dgaussians,
author={Kerbl, Bernhard and Kopanas, Georgios and Leimk{\"u}hler, Thomas and Drettakis, George},
title={3D Gaussian Splatting for Real-Time Radiance Field Rendering},
journal={ACM Transactions on Graphics},
number={4},
volume={42},
month={July},
year={2023},
url={https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/}
}
About
Voxel SDF constructor from Gaussian Surfels
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
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SDF-constructor: Surfel-Based SDF Construction from Gaussian Primitives
License: CC BY-NC-SA 4.0
This is the rasterization and TSDF reconstruction engine for the paper "GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction".

The project builds upon 2D Gaussian Splatting.
Usage
# Clone with submodules
git clone --recursive https://github.com/DonaldTrump-coder/SDF-constructor.git
cd SDF-constructor
# Install
pip install .

License
This repository contains code under two licenses:
CodeLicenseFile
Original / modified GS & 2DGS code (cuda_rasterizer/, third_party/, rasterize_points.cu, rasterize_points.h, ext.cpp, portions of setup.py)Gaussian-Splatting License (Inria / MPII, research-only)LICENSE.md
Our original contributions (TSDF_forGS/, meshing_surfel_rasterization/)CC BY-NC-SA 4.0LICENSE.md
Both licenses restrict use to non-commercial research purposes. Commercial use requires prior consent from the respective licensors.
Citation
If you find our work useful in your research, please cite both our paper and the upstream works:
@article{tang2026gssa,
title = {GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction},
author = {Tang, Haojun and Zou, Siyuan and Pan, Hongbo and Lu, Yixin and Zhou, Shun},
journal = {Remote Sensing},
year = {2026}
}
Upstream works
@inproceedings{Huang2DGS2024,
title={2D Gaussian Splatting for Geometrically Accurate Radiance Fields},
author={Huang, Binbin and Yu, Zehao and Chen, Anpei and Geiger, Andreas and Gao, Shenghua},
booktitle={SIGGRAPH 2024 Conference Papers},
year={2024},
doi={10.1145/3641519.3657428}
}
@Article{kerbl3Dgaussians,
author={Kerbl, Bernhard and Kopanas, Georgios and Leimk{\"u}hler, Thomas and Drettakis, George},
title={3D Gaussian Splatting for Real-Time Radiance Field Rendering},
journal={ACM Transactions on Graphics},
number={4},
volume={42},
month={July},
year={2023},
url={https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/}
}
About
Voxel SDF constructor from Gaussian Surfels
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cpppythonsdf
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Readme
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
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SDF-constructor: Surfel-Based SDF Construction from Gaussian Primitives
License: CC BY-NC-SA 4.0
This is the rasterization and TSDF reconstruction engine for the paper "GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction".

The project builds upon 2D Gaussian Splatting.
Usage
# Clone with submodules
git clone --recursive https://github.com/DonaldTrump-coder/SDF-constructor.git
cd SDF-constructor
# Install
pip install .

License
This repository contains code under two licenses:
CodeLicenseFile
Original / modified GS & 2DGS code (cuda_rasterizer/, third_party/, rasterize_points.cu, rasterize_points.h, ext.cpp, portions of setup.py)Gaussian-Splatting License (Inria / MPII, research-only)LICENSE.md
Our original contributions (TSDF_forGS/, meshing_surfel_rasterization/)CC BY-NC-SA 4.0LICENSE.md
Both licenses restrict use to non-commercial research purposes. Commercial use requires prior consent from the respective licensors.
Citation
If you find our work useful in your research, please cite both our paper and the upstream works:
@article{tang2026gssa,
title = {GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction},
author = {Tang, Haojun and Zou, Siyuan and Pan, Hongbo and Lu, Yixin and Zhou, Shun},
journal = {Remote Sensing},
year = {2026}
}
Upstream works
@inproceedings{Huang2DGS2024,
title={2D Gaussian Splatting for Geometrically Accurate Radiance Fields},
author={Huang, Binbin and Yu, Zehao and Chen, Anpei and Geiger, Andreas and Gao, Shenghua},
booktitle={SIGGRAPH 2024 Conference Papers},
year={2024},
doi={10.1145/3641519.3657428}
}
@Article{kerbl3Dgaussians,
author={Kerbl, Bernhard and Kopanas, Georgios and Leimk{\"u}hler, Thomas and Drettakis, George},
title={3D Gaussian Splatting for Real-Time Radiance Field Rendering},
journal={ACM Transactions on Graphics},
number={4},
volume={42},
month={July},
year={2023},
url={https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/}
}
About
Voxel SDF constructor from Gaussian Surfels
Topics
cpppythonsdf
Resources
Readme
License
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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SDF-constructor: Surfel-Based SDF Construction from Gaussian Primitives
License: CC BY-NC-SA 4.0
This is the rasterization and TSDF reconstruction engine for the paper "GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction".

The project builds upon 2D Gaussian Splatting.
Usage
# Clone with submodules
git clone --recursive https://github.com/DonaldTrump-coder/SDF-constructor.git
cd SDF-constructor
# Install
pip install .

License
This repository contains code under two licenses:
CodeLicenseFile
Original / modified GS & 2DGS code (cuda_rasterizer/, third_party/, rasterize_points.cu, rasterize_points.h, ext.cpp, portions of setup.py)Gaussian-Splatting License (Inria / MPII, research-only)LICENSE.md
Our original contributions (TSDF_forGS/, meshing_surfel_rasterization/)CC BY-NC-SA 4.0LICENSE.md
Both licenses restrict use to non-commercial research purposes. Commercial use requires prior consent from the respective licensors.
Citation
If you find our work useful in your research, please cite both our paper and the upstream works:
@article{tang2026gssa,
title = {GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction},
author = {Tang, Haojun and Zou, Siyuan and Pan, Hongbo and Lu, Yixin and Zhou, Shun},
journal = {Remote Sensing},
year = {2026}
}
Upstream works
@inproceedings{Huang2DGS2024,
title={2D Gaussian Splatting for Geometrically Accurate Radiance Fields},
author={Huang, Binbin and Yu, Zehao and Chen, Anpei and Geiger, Andreas and Gao, Shenghua},
booktitle={SIGGRAPH 2024 Conference Papers},
year={2024},
doi={10.1145/3641519.3657428}
}
@Article{kerbl3Dgaussians,
author={Kerbl, Bernhard and Kopanas, Georgios and Leimk{\"u}hler, Thomas and Drettakis, George},
title={3D Gaussian Splatting for Real-Time Radiance Field Rendering},
journal={ACM Transactions on Graphics},
number={4},
volume={42},
month={July},
year={2023},
url={https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/}
}
About
Voxel SDF constructor from Gaussian Surfels
Topics
cpppythonsdf
Resources
Readme
License
Activity
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Watchers
0 watching
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0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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SDF-constructor: Surfel-Based SDF Construction from Gaussian Primitives
License: CC BY-NC-SA 4.0
This is the rasterization and TSDF reconstruction engine for the paper "GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction".

The project builds upon 2D Gaussian Splatting.
Usage
# Clone with submodules
git clone --recursive https://github.com/DonaldTrump-coder/SDF-constructor.git
cd SDF-constructor
# Install
pip install .

License
This repository contains code under two licenses:
CodeLicenseFile
Original / modified GS & 2DGS code (cuda_rasterizer/, third_party/, rasterize_points.cu, rasterize_points.h, ext.cpp, portions of setup.py)Gaussian-Splatting License (Inria / MPII, research-only)LICENSE.md
Our original contributions (TSDF_forGS/, meshing_surfel_rasterization/)CC BY-NC-SA 4.0LICENSE.md
Both licenses restrict use to non-commercial research purposes. Commercial use requires prior consent from the respective licensors.
Citation
If you find our work useful in your research, please cite both our paper and the upstream works:
@article{tang2026gssa,
title = {GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction},
author = {Tang, Haojun and Zou, Siyuan and Pan, Hongbo and Lu, Yixin and Zhou, Shun},
journal = {Remote Sensing},
year = {2026}
}
Upstream works
@inproceedings{Huang2DGS2024,
title={2D Gaussian Splatting for Geometrically Accurate Radiance Fields},
author={Huang, Binbin and Yu, Zehao and Chen, Anpei and Geiger, Andreas and Gao, Shenghua},
booktitle={SIGGRAPH 2024 Conference Papers},
year={2024},
doi={10.1145/3641519.3657428}
}
@Article{kerbl3Dgaussians,
author={Kerbl, Bernhard and Kopanas, Georgios and Leimk{\"u}hler, Thomas and Drettakis, George},
title={3D Gaussian Splatting for Real-Time Radiance Field Rendering},
journal={ACM Transactions on Graphics},
number={4},
volume={42},
month={July},
year={2023},
url={https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/}
}
About
Voxel SDF constructor from Gaussian Surfels
Topics
cpppythonsdf
Resources
Readme
License
Activity
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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SDF-constructor: Surfel-Based SDF Construction from Gaussian Primitives
License: CC BY-NC-SA 4.0
This is the rasterization and TSDF reconstruction engine for the paper "GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction".

The project builds upon 2D Gaussian Splatting.
Usage
# Clone with submodules
git clone --recursive https://github.com/DonaldTrump-coder/SDF-constructor.git
cd SDF-constructor
# Install
pip install .

License
This repository contains code under two licenses:
CodeLicenseFile
Original / modified GS & 2DGS code (cuda_rasterizer/, third_party/, rasterize_points.cu, rasterize_points.h, ext.cpp, portions of setup.py)Gaussian-Splatting License (Inria / MPII, research-only)LICENSE.md
Our original contributions (TSDF_forGS/, meshing_surfel_rasterization/)CC BY-NC-SA 4.0LICENSE.md
Both licenses restrict use to non-commercial research purposes. Commercial use requires prior consent from the respective licensors.
Citation
If you find our work useful in your research, please cite both our paper and the upstream works:
@article{tang2026gssa,
title = {GSSA: Gaussian Surfels with Spatial Awareness for Surface Reconstruction},
author = {Tang, Haojun and Zou, Siyuan and Pan, Hongbo and Lu, Yixin and Zhou, Shun},
journal = {Remote Sensing},
year = {2026}
}
Upstream works
@inproceedings{Huang2DGS2024,
title={2D Gaussian Splatting for Geometrically Accurate Radiance Fields},
author={Huang, Binbin and Yu, Zehao and Chen, Anpei and Geiger, Andreas and Gao, Shenghua},
booktitle={SIGGRAPH 2024 Conference Papers},
year={2024},
doi={10.1145/3641519.3657428}
}
@Article{kerbl3Dgaussians,
author={Kerbl, Bernhard and Kopanas, Georgios and Leimk{\"u}hler, Thomas and Drettakis, George},
title={3D Gaussian Splatting for Real-Time Radiance Field Rendering},
journal={ACM Transactions on Graphics},
number={4},
volume={42},
month={July},
year={2023},
url={https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/}
}
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Voxel SDF constructor from Gaussian Surfels
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