I contribute to live real-estate and cultural-tourism projects at line+ as a visualization and computational-design collaborator — focused on the production pipeline that turns models into client-ready imagery, not abstract research:
我以可视化与计算式设计的身份参与 line+ 的在建地产与文旅项目，重点在于把模型转化为可交付客户的成果管线，而非抽象研究：
D5 rendering pipeline. Built and standardized the studio's D5 lighting, material, and post-production setup so massing models become consistent, client-ready renders quickly and repeatably across a team. · D5 渲染管线：搭建并标准化事务所的 D5 灯光、材质与后期流程，使体量模型能够快速、稳定、可复用地输出为可交付客户的渲染图。
Point-cloud → terrain workflow. Developed a Grasshopper / Rhino workflow that imports survey point-cloud data and meshes it into editable site terrain for design and visualization. · 点云转地形工作流：开发 Grasshopper / Rhino 流程，将测绘点云数据导入并转化为可编辑的场地地形，供设计与可视化使用。
AI image iteration. Drive early-stage concept exploration with Midjourney / Stable Diffusion + ComfyUI, feeding atmosphere and option studies back into the design process. Across these tools I've delivered landscape, residential, and clubhouse visualizations, with bilingual support and Python-based residential-market analysis. · AI 出图迭代：以 Midjourney / Stable Diffusion + ComfyUI 推进早期概念探索，将氛围与方案比选反馈进设计流程。我已交付景观、住宅与会所的可视化成果，并提供双语支持与基于 Python 的住宅市场分析。
See also · 另见: line+ — AI-driven collaboration ↗
Work produced as a project-based collaborator at line+ studio. Project IP © line+ studio; shown with permission and attribution. · 内容为在 line+ 工作室项目制合作期间所作，项目知识产权归 line+ 工作室所有，经许可并署名展示。