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Gaussian Splat To Blender Nodes

Community
gokayfem
gaussian-splat-to-blender-nodes

Reconstruct Gaussian splat scenes as editable native Blender Geometry Nodes meshes and Shader Node materials. Use for splat-to-procedural reconstruction, matched-camera analysis, semantic scene decomposition, detailed environment recreation, native-scene audits, optional hybrid capture-texture mapping onto reconstructed surfaces, and reference-versus-Blender comparison videos. This is an agent-guided measured workflow, not automatic splat-to-mesh conversion.

Overview

Publishergokayfem
Repositorygaussian-splat-to-blender-nodes
Skill namegaussian-splat-to-blender-nodes
Stars
73
Forks
3
Bundled files
26
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 26 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gokayfem on GitHub. Read the source before you install it.

Installation

Install the Gaussian Splat To Blender Nodes AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/gokayfem/gaussian-splat-to-blender-nodes/tree/main/skills/gaussian-splat-to-blender-nodes
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gokayfem/gaussian-splat-to-blender-nodes.git /tmp/gaussian-splat-to-blender-nodes
mkdir -p .claude/skills
cp -r /tmp/gaussian-splat-to-blender-nodes/skills/gaussian-splat-to-blender-nodes .claude/skills/gaussian-splat-to-blender-nodes
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gaussian Splat To Blender Nodes in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gaussian Splat To Blender Nodes on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gaussian Splat To Blender Nodes is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

World to World Mapping — Gaussian Splat to Blender Nodes

Build an editable scene that explains the reference through geometry, materials and light. Use the splat as measurement and visual evidence. Deliver native source, parameters and honest multi-view comparisons. Default to procedural materials. When captured appearance is requested, use the optional hybrid workflow below and disclose its baked-surface limits.

Prompting a complete project

For a full-scene task, use the prompting workflow and master project brief. They supply the actual brief, capture, part-contract, detail, review and delivery prompt structure with project-specific values left to measure. Read whole-scene capture when building the reference package: it explains the source-viewer, camera, coverage and close-up capture procedure. These prompts work with one agent; delegation and recurring review are optional, separately authorized modes.

Start from evidence

  1. Inspect current artifact versions and preserve user work.
  2. Record asset URL, author/dataset, usage terms, byte size and SHA-256. Viewer software licensing does not establish dataset rights. Keep scans and decoded arrays local.
  3. Identify the actual container and producer. scripts/inspect_asset.py fingerprints assets and reads limited metadata; it does not decode Gaussians into surfaces.
  4. Establish one scan-to-world transform, scale, handedness and camera convention. Save position, target, up, vertical FOV and dimensions. Register stable landmarks first.
  5. Read acquisition and cameras.

Reconstruct coarse to fine

  1. List major objects and occlusions. Separate measurements, estimates and invented hidden surfaces. Prioritize silhouette and spatial relationships.
  2. Create collections: GS_REFERENCE (hidden from rendering), SCENE_PROCEDURAL (or a project-specific equivalent), CAMERAS, LIGHTING, and QA.
  3. Use empty mesh hosts with live GN modifiers. Build meaningful primitives, profiles, curves, branches and instances. Document fitted control points. Instancing every Gaussian as the beauty scene is not procedural reconstruction.
  4. Expose semantic controls with units, bounds and descriptions. Seed stochastic placement. Organize substantial graphs into documented subgroups and labeled frames.
  5. Use Shader Nodes with part-local coordinates and physical feature scales. Splat color contains illumination; it is not automatically material albedo.
  6. Produce an integrated matched-camera checkpoint before adding expensive detail.
  7. Read procedural construction. Build joints, thickness, bevels, apertures, branch hierarchy and edge wear before micro-noise.

Detail without inventing fidelity

More polygons, random noise or instances do not establish similarity. Require visible meso-detail at the intended distance and fine detail in native-resolution crops. Preserve improvements in newer versions. Omissions in isolated part tests are not missing integrated objects.

Inspect the current project's identity-defining features and intended viewing scale. Rough source edges and tiny seams need not block a ready-for-review result. Prioritize visible structure, material assignment and multi-view fidelity over numerical residuals.

Optional hybrid captured appearance

When the requested mode includes captured textures, read hybrid projection and use the hybrid prompt with projection.json. Prepare reconstructed UV mesh copies in Blender, project registered captures with depth/object/source-mask rejection, then assemble packed appearance/mix images with original-material fallback. Per-project configuration supplies all objects, material slots, cameras, world bounds and rejection rules.

Mapped copies are baked evaluated meshes, not live generated GN hosts. Preserve the source and rebake after geometry/UV/frame changes. Captured radiance is an unlit appearance mode; irradiance-divided albedo is only an approximation. Check wrong-object appearance, broad ghosts/stretching, large color mismatch and missing coverage in full matched views. Rank up to three current material issues; fewer or none is fine. Do not import another scene's thresholds or restart edge polishing without a materially visible defect.

Verify what actually exists

  1. Build with --python-exit-code 1. Fail on missing parts, node warnings and invalid links.
  2. Run scripts/audit_blend.py in a disposable background process. It removes the scan in memory and compares evaluated mesh/instance signatures. It never saves the blend. Apply it to live procedural collections; it intentionally rejects baked hybrid hosts. Verify hybrid packed images, UV/slot wiring, fallback and complementary renders separately.
  3. Render with the reference removed. Inspect clay and beauty views, opposite/side/overview cameras and detail crops. Both renderers must use one shared camera manifest.
  4. Record exact source/output hashes. An audit of an old blend does not validate a new one.
  5. Read validation and critique. Rank up to three materially visible differences with region, correction and verification view. Separate actual observations, hypotheses and agent-reported metrics.
  6. If pixel-level independence matters, compare renders before/after scan removal too. The structural audit does not test shader, driver or compositor side effects.

Compare stills and motion

scripts/cameras.py produces world/scan orbit poses. Render world poses with scripts/render_manifest.py; render scan poses in the chosen reference viewer. The reference side is viewer-specific and is not automated here.

scripts/compare.py pairs images and optionally encodes an MP4 with FFmpeg. See comparison videos. Preserve framing and source labels. Never invent missing reference angles. Serialize expensive renders and use immutable outputs.

Tools and delivery

Resolve paths relative to this skill directory. Test Blender without a scan using templates/starter.py. Basic helpers use the standard library; comparisons need Pillow, and hybrid projection needs NumPy, SciPy and Pillow. MP4 encoding requires FFmpeg/libx264. Blender tools target 5.0+; report the version actually tested.

Deliver the editable blend, deterministic source/parameters, camera manifests, provenance, audit JSON and comparisons. Report remaining mismatches and unsupported views. Do not promise perfect reconstruction or declare completion from script success.

The full repository includes an experimental prompts/garden builder and pinned nodekit from gokayfem/video-to-blender. A skill-only install contains the portable tools and starter; clone the repository for Garden.

Do not schedule reviews, contact other agents, publish assets or start API jobs implicitly. Honor user authorization and stop queued work when asked to stop.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Gaussian Splat To Blender Nodes AI skill do?

Reconstruct Gaussian splat scenes as editable native Blender Geometry Nodes meshes and Shader Node materials. Use for splat-to-procedural reconstruction, matched-camera analysis, semantic scene decomposition, detailed environment recreation, native-scene audits, optional hybrid capture-texture mapping onto reconstructed surfaces, and reference-versus-Blender comparison videos. This is an agent-guided measured workflow, not automatic splat-to-mesh conversion.

Why use Gaussian Splat To Blender Nodes on TypingMind?

Because you install it once and use it with any model. Gaussian Splat To Blender Nodes is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gaussian Splat To Blender Nodes in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gokayfem/gaussian-splat-to-blender-nodes/tree/main/skills/gaussian-splat-to-blender-nodes. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gaussian Splat To Blender Nodes?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gaussian Splat To Blender Nodes?

As many as you like. As long as a model supports skills, you can use Gaussian Splat To Blender Nodes with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gaussian Splat To Blender Nodes AI skill free?

Yes. It is published on GitHub by gokayfem under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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