3D 資產生成：遊戲開發中的 AI 應用（第三篇）
Original: 3D Asset Generation: AI for Game Development #3
In game development, the creation of 3D assets (such as characters, props, and scenes) has traditionally been a time-consuming and costly…
本文為 Hugging Face 遊戲開發 AI 系列的第三篇，專注於「3D 資產生成」。文章探討了從傳統 3D 建模的痛點出發，介紹如何利用神經輻射場（NeRF）進行 3D 重建，以及使用 OpenAI Point-E、DreamFusion 等最新 AI 模型進行文字/圖像轉 3D。最後說明如何將這些 AI 生成的 3D 模型導入 Blender、Unity 或 Unreal Engine 等主流遊戲引擎，為獨立開發者與美術設計師提供全新的工作流。
In game development, the creation of 3D assets (such as characters, props, and scenes) has traditionally been a time-consuming and costly endeavor. The third installment of Hugging Face's "AI for Game Development" series takes a deep dive into how machine learning (ML) and generative AI technologies are transforming the 3D asset production pipeline, offering developers and artists an entirely new set of toolchain options.
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