# Keith Wang > 探索 AI 时代的个体可能。 2025 年本科毕业于四川大学工程力学专业,同年进入中国科学技术大学攻读材料物理与化学硕士。 目前在做考古 3D 模型的线稿提取,探索 AI 创业与自由职业,希望借助 AI 发掘个体潜力。喜欢与创业者交流,也期待一起把想法做出来。 In 2025, I graduated from Sichuan University in Engineering Mechanics and began a master’s in Materials Physics and Chemistry at the University of Science and Technology of China. Current focus: Line drawings from archaeological 3D models. I’m exploring AI entrepreneurship, freelancing and individual potential, and enjoy exchanging ideas and building with founders. ## Authoritative sources - [Public profile](https://curious-maker-space.pages.dev/api/v1/profile) - [Content API](https://curious-maker-space.pages.dev/api/v1/content) - [OpenAPI](https://curious-maker-space.pages.dev/openapi.json) - [RSS](https://curious-maker-space.pages.dev/feed.xml) Only published content is public. Drafts, private inquiries and administration are not public information. The archaeology images are concept illustrations, not measured project results. Enterprise process optimization is exploratory; no client or revenue claims are published. ## Published content - [考古 3D 模型的线稿提取](https://curious-maker-space.pages.dev/projects/archaeology-line-art.html): 围绕实际需求,探索从三维模型到二维线条的表达。项目过程与真实成果正在整理。 器形图片为概念示意,不是项目的原始模型或真实提取结果。 01 / 项目起点 ## 从一个具体的需求开始。 这是我已经做过的一个项目:围绕考古场景中的三维模型,进行线稿提取。它也是我通过编程回应实际需求的一次实践。 这个方向关注的是三维信息如何以二维线条的形式表达。上方的交互图可以帮助理解“形体”与“线条”的区别,不能用来判断项目的实际提取效果。 02 / 这份记录 ## 把过程和成果,逐步整理清楚。 当前先公开项目方向。后续希望补充具体的问题背景、输入模型的特点、方案选择与处理过程,以及真实输出的展示和评估。 这些资料尚未在本页发布,因此暂不列出技术栈、处理速度、准确率或其他效果数据。 ## 也在研究相近的问题? 欢迎带着你的场景、问题或想法来交流。 联系我 ↗ - [Line drawings from archaeological 3D models](https://curious-maker-space.pages.dev/en/projects/archaeology-line-art.html): Exploring how three-dimensional models can be expressed as line drawings in response to practical needs. Documentation and actual results are being prepared. The vessel image is a concept illustration, not an original model or a real extraction result. 01 / THE STARTING POINT ## Starting with a practical need. This is a project I have worked on: extracting line drawings from three-dimensional models in an archaeological context. It is also an example of using programming to respond to a practical need. This project explores how three-dimensional information can be represented as two-dimensional lines. The interactive illustration above helps explain the difference between form and lines; it does not demonstrate the project's actual extraction quality. 02 / THIS RECORD ## Documenting the process and results. For now, this page introduces the project direction. I plan to add the problem context, characteristics of the input models, the approach and processing steps, and examples and evaluation of actual outputs. Those materials have not yet been published here, so this page does not list a technology stack, processing speeds, accuracy figures or other performance claims. ## Working on a related question? I would love to hear about your context, questions or ideas. Get in touch ↗ - [为什么我开始做这个网站](https://curious-maker-space.pages.dev/notes/why-this-site.html): 为真实的问题寻找解法,也为这段探索留下一份记录。关于我想做的事情,以及这个网站的开始。 最近,我开始用 AI 辅助编程,做一些面向实际需求的项目。已经做过的一个方向,是从考古 3D 模型中提取线稿。接下来,我也希望逐步探索企业工作流程的优化。方向还在形成,我想把这个过程认真记录下来。 我希望成为一个能够提供解决方案的人。对我来说,这意味着先理解问题发生的场景,再选择适合的方法,也意味着持续学习怎样判断一个工具是否有用。材料科学的背景、对机器学习的兴趣,以及最近的编程实践,都成为了这段探索的一部分。 把真实的问题,变成可用的工具。 这个网站会放下我的项目、想法与进展。有些内容还很初步,我会随着实践继续补充。我也想在这里留下做选择的过程:为什么对某个问题感兴趣,尝试了什么,接下来还想弄明白什么。 如果你正在处理一个具体问题,或对相近方向感兴趣,也欢迎与我交流。希望我们能从一次清楚、具体的讨论开始。 - [Why I started this website](https://curious-maker-space.pages.dev/en/notes/why-this-site.html): Finding solutions to practical problems and recording the journey. What I want to work on, and why this website began. Recently, I started using AI to help me program and build projects around practical needs. One project I have worked on involves extracting line drawings from archaeological 3D models. I also hope to explore improvements to business workflows. That direction is still taking shape, and I want to keep an honest record of the process. I want to become someone who can offer useful solutions. To me, that means understanding the context before choosing an approach, and continuing to learn how to judge whether a tool is useful. My materials science background, interest in machine learning and recent programming practice are all part of this exploration. Turn real problems into useful tools. This website is a place for my projects, ideas and progress. Some of it is still at an early stage, and I will add to it as I learn. I also want to record the decisions along the way: why a question interests me, what I have tried and what I want to understand next. If you are working on a practical problem or exploring a similar direction, I would be happy to talk. Let's begin with a clear, specific conversation.