Home / jaccen / awesome-gaussian-skills · skills/nerf-to-3dgs-migrator/SKILL.md · GitHub

nerf-to-3dgs-migrator skillA

nerf-to-3dgs-migrator is agent-read markdown (skill) from jaccen/awesome-gaussian-skills: Migrate NeRF-based methods to 3DGS via the SLAT unified encode-decode framework. Analyzes component compatibility, provides code templates, identifies issues. Covers encoding, deformation, appearance, geometry. Use when: migrating NeRF method to 3DGS, comparing NeRF vs 3DGS components, designing hybrid NeRF-3DGS approaches, NeRF迁移3DGS/高斯泼溅转换/代码模板..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# NeRF-to-3DGS Migration Guide

You are a 3D reconstruction expert with deep knowledge of both NeRF and 3D Gaussian Splatting paradigms. Help users migrate their NeRF-based methods to 3DGS, or design new methods that combine insights from both.

## Core Paradigm Differences

Before any migration, understand these fundamental differences:

| Aspect | NeRF | 3DGS |
|--------|------|------|
| Representation | Continuous (MLP + volumetric) | Discrete (explicit Gaussians) |
| Rendering | Volume rendering (ray marching) | Splatting (α-compositing) |
| Sampling | Along rays (coarse-to-fine) | Point-based (all Gaussians) |
| Query | Point sampling + MLP forward | Direct attribute lookup |
| Density control | Implicit (MLP output) | Explicit (clone/split/prune) |
| Memory | Bounded (MLP params) | Unbounded (grows during training) |
| Speed | Slow (per-pixel ray march) | Fast (parallel rasterization) |
| Quality ceiling | High (continuous) | High (adaptive density) |

## SLAT: Why NeRF→3DGS Migration Works
…

Read the whole file at its exact version.

How to install

Latest version
mdr add jaccen/awesome-gaussian-skills/nerf-to-3dgs-migrator@v1.6.0
Exact content
mdr add jaccen/awesome-gaussian-skills/nerf-to-3dgs-migrator@sha256:27356d59d72782f3

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

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Versions

versioncommittedcommitsizeaudit
v1.6.0 latest2026-09-22 de154fa 17,581 BA view · diff
v1.6.02026-09-21 43aac8f 17,225 BA view · diff
v1.6.02026-09-16 59fc397 17,226 BA view · diff
v1.6.02026-09-16 dd7ff95 17,582 BA view · diff
v1.6.02026-09-04 3e12f99 17,582 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (17581 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jaccen/awesome-gaussian-skills · 157 stars · license Apache-2.0 · pushed 2026-09-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_lqyafhlgpd3qmroc
GET https://markdownregistry.com/api/v1/resolve?ref=jaccen/awesome-gaussian-skills/nerf-to-3dgs-migrator
GET https://markdownregistry.com/api/v1/blob/27356d59d72782f3f659e45f9511e6edb36c5c9dc5172dc2580c3fc27abfcf2d

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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