# genpark-3d-gaussian-splatting-radiance-reconstructor-skill

> genpark-3d-gaussian-splatting-radiance-reconstructor-skill — alphaparkinc-genpark-3d-gaussian-splatting-radiance-reconstructor-skill. Use this tool when you need to reconstruct 3D radiance fields from sparse data points, solving problems like scene rendering and lighting estimation. It utilizes 3D Gaussian splatting to generate high-quality radiance fields, taking in sparse 3D point data as input and outputting a reconstructed radiance field. Ideal for applications in computer vision, graphics, and robotics, where accurate 3D scene representation is crucial.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-3d-gaussian-splatting-radiance-reconstructor-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-3d-gaussian-splatting-radiance-reconstructor-skill

## Description

3D Gaussian splatting radiance field reconstructor (3DGS / PostShot style)

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-3d-gaussian-splatting-radiance-reconstructor-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-3d-gaussian-splatting-radiance-reconstructor-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-3d-gaussian-splatting-radiance-reconstructor-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-3d-gaussian-splatting-radiance-reconstructor-skill/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt