传统次世代建模流程和AI生成建模流程的对比

A Comparison between Traditional Next-Generation Modeling Processes and AI-Generated Modeling Processes

摘要: 本文聚焦次世代建模流程与AI生成建模流程，旨在剖析二者核心差异及场景适配性。次世代建模基于人工驱动，历经原画分析、中模搭建、高模雕刻、低模处理及贴图绘制等精细流程，模型精度极高，在影视特效、3A游戏和艺术创作领域优势显著，可深度还原细节、表达创意，但存在流程繁琐、成本高昂等问题。AI生成建模以算法为核心，涵盖Text-to-3D和Image-to-3D等技术，能快速将文本或图像转化为三维模型，在概念设计、大规模内容生产和个性化定制场景中效率突出，不过在模型精度和细节处理上有所欠缺，还面临数据与版权难题。研究对比二者在模型精度、技术效率和应用场景等方面的差异，为相关领域技术选择提供参考，指出二者融合是未来发展方向，有望推动数字内容创作行业革新。

Abstract: This article focuses on the next-generation modeling process and the AI-generated modeling process, aiming to analyze the core differences and scene adaptability between the two. Next-generation modeling is driven by humans and goes through meticulous processes such as original art analysis, medium model construction, high model engraving, low model processing, and texture mapping. The model accuracy is extremely high, and it has significant advantages in the fields of film and television special effects, 3A games, and artistic creation. It can deeply restore details and express creativity, but it has problems such as cumbersome processes and high costs. AI generative modeling takes algorithms as the core and covers technologies such as Text-to-3D and Image-to-3D. It can quickly convert Text or images into 3D models and has outstanding efficiency in conceptual design, large-scale content production and personalized customization scenarios. However, it is lacking in model accuracy and detail processing, and also faces data and copyright problems. This study compares the differences between the two in terms of model accuracy, technical efficiency and application scenarios, providing references for the technical selection in related fields. It points out that the integration of the two is the future development direction and is expected to promote the innovation of the digital content creation industry.