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ZaowuzhiAI

中文 本项目是一个基于 Transformer 架构的 3D 家具生成大模型,支持根据输入关键词(如 衣柜、橱柜)生成对应的家具 3D 结构数据。 该模型可直接生成自定义 JSON 结构,包含家具的 面板尺寸、位置、旋转、类型 等信息,可在 Three.js 等前端框架中直接渲染。 本模型已在 Hugging Face Model Hub 开源,欢迎下载、测试和二次训练。

ArtOtherVersionRevision a780ac1BBewertung

Modellquelle

Art
Other
Dateigröße
59,7–179 MB
Version
vRevision a780ac1
Aktualisiert
9. Okt. 2026
Downloads
9
Quelle
Hugging Face

Quellenbeschreibung

🪑 3D Furniture Generation Model | 3D 家具生成模型

License HuggingFace PyTorch


📌 项目简介 | Introduction

中文
本项目是一个基于 Transformer 架构的 3D 家具生成大模型,支持根据输入关键词(如 衣柜、橱柜)生成对应的家具 3D 结构数据。
该模型可直接生成自定义 JSON 结构,包含家具的 面板尺寸、位置、旋转、类型 等信息,可在 Three.js 等前端框架中直接渲染。
本模型已在 Hugging Face Model Hub 开源,欢迎下载、测试和二次训练。

English
This project is a 3D furniture generation model based on a Transformer architecture.
It supports generating corresponding 3D furniture structural data based on text prompts such as "wardrobe" or "cabinet".
The model directly produces custom JSON structures containing panel size, position, rotation, and type information, which can be rendered directly in front-end frameworks such as Three.js.
The model is open-sourced on Hugging Face Model Hub, and you are welcome to download, test, and fine-tune it.


🚀 功能特点 | Features

中文

  • 结构化输出:生成可直接解析的 JSON 结构
  • 参数化控制:支持输入家具类型、尺寸等参数
  • 高精度坐标:基于归一化训练,精度可达毫米级
  • 可扩展性强:可基于自有家具数据进行增量训练
  • 适配 Three.js:可直接在浏览器中渲染生成的家具模型

English

  • Structured Output – Generates JSON structures that can be directly parsed.
  • Parametric Control – Supports specifying furniture type, size, and other parameters.
  • High-Precision Coordinates – Trained with normalization to achieve millimeter-level accuracy.
  • Highly Extensible – Can be fine-tuned with your own furniture dataset.
  • Three.js Compatible – The generated models can be rendered directly in the browser.

📂 数据示例 | Example Data

{
  "Name": "三门衣柜 / Three-door Wardrobe",
  "Panels": [
    {
      "Type": "左侧板 / Left Side Panel",
      "Size": [0.018, 2.000, 0.600],
      "Position": [0.000, 1.000, 0.300],
      "Rotation": [0.0, 0.0, 0.0]
    }
  ]
}

📧 联系方式 | Contact

中文

如需合作或技术交流,请联系邮箱:[email protected]

English

For collaboration or technical inquiries, please contact: [email protected]

Quellen

1 Quelle
Hugging FacePrimärVersion a780ac1210b87f1767e5358f7c0c1843c85dbff3
huggingface.co/chengyuhancode/ZaowuzhiAI/tree/a780ac1210b87f1767e5358f7c0c1843c85dbff3

Verifiziert 9. Okt.

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Modellartefakte

2 Artefakte

improved_epoch_721.pth

pth · 179 MB · SHA-256 2122b2e13ba3…f147 · Hugging Face

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pytorch_model.bin

bin · 59,7 MB · SHA-256 163ea2dacbaf…2891 · Hugging Face

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Quellenauszüge

3 Auszüge

--- license: apache-2.0 language: - zh pipeline_tag: text-to-3d --- # 🪑 3D Furniture Generation Model | 3D 家具生成模型 ![License](https://img.shields.io/badge/license-Apache--2.0-green) ![HuggingFace](https://img.shields.io/badge/HuggingFace-Model-yellow) ![PyTorch](https://img.shields.io/badge/PyTorch-2.0+-red) --- ## 📌 项目简介 | Introduction **中文** 本项目是一个基于 Transformer 架构的 **3D 家具生成大模型**,支持根据输入关键词(如 `衣柜`、`橱柜`)生成对应的家具 3D 结构数据。 该模型可直接生成自定义 JSON 结构,包含家具的 **面板尺寸、位置、旋转、类型** 等信息,可在 Three.js 等前端框架中直接渲染。 本模型已在 Hugging Face Model Hub 开源,欢迎下载、测试和二次训练。 **English** This project is a **3D furniture generation model** based on a Transformer architecture. It supports generating corresponding 3D furniture structural data based on text prompts such as `"wardrobe"` or `"cabinet"`. The model directly produces custom JSON structures containing **panel size, position, rotation, and type** information, which can be rendered directly in front-end frameworks such as Three.js. The model is open-sourced on Hugging Face Model Hub, and you are welcome to download, test, and fine-tune it. --- ## 🚀 功能特点 | Features **中文** - **结构化输出**:生成可直接解析的 JSON 结构 - **参数化控制**:支持输入家具类型、尺寸等参数 - **高精度坐标**:基于归一化训练,精度可达毫米级 - **可扩展性强**:可基于自有家具数据进行增量训练 - **适配 Three.js**:可直接在浏览器中渲染生成的家具模型 **English** - **Structured Output** – Generates JSON structures that can be directly parsed. - **Parametric Control** – Supports specifying furniture type, size, and other parameters. - **High-Precision Coordinates** – Trained with normalization to achieve millimeter-level accuracy. - **Highly Extensible** – Can be fine-tuned with your own furniture dataset. - **Three.js Compatible** – The generated models can be rendered directly in the browser. --- ## 📂 数据示例 | Example Data ```json { "Name": "三门衣柜 / Three-door Wardrobe", "Panels": [ { "Type": "左侧板 / Left Side Panel", "Size": [0.018, 2.000, 0.600], "Position": [0.000, 1.000, 0.300], "Rotation": [0.0, 0.0, 0.0] } ] } ``` --- ## 📧 联系方式 | Contact ### 中文 如需合作或技术交流,请联系邮箱:**[email protected]** ### English For collaboration or technical inquiries, please contact: **[email protected]**

Source context: 9 downloads · 0 likes · Pipeline text-to-3d · Repo chengyuhancode/ZaowuzhiAI

Source context: 8 downloads · 0 likes · Pipeline text-to-3d · Repo chengyuhancode/ZaowuzhiAI