levelsio 用 Three.js 光照探针重构行走视频，考虑转型整个产品
levelsio 用 Three.js 光照探针把 AI 生成的行走视频重构出了不错的画面质感，全程只花 5 分钟跑在一台 VPS 上。他说效果比普通的图进图出换风格强得多，甚至打算把 fly.pieter.com 整个产品转向这个玩法。做 3D 场景生成或独立开发的人可以看看他这套流程。
开发者 levelsio（Pieter Levels）在 X 上展示了一条借助 Three.js 光照探针（lighting probes）完成的 AI 重构行走视频，整个生成过程只用了 5 分钟，运行在一台 VPS 上。
他表示效果已经远超基本的图进图出风格转换（image in image out restyling）。他计划今天录制一条演示视频，讲解整套流程如何运作，并放到 fly.
pieter.com 的落地页上。
他还在推文中表示，似乎可以把整个产品转向这个方向来重新增长，并公开向网友征集功能建议。
And this is with lighting probes as suggested by @threejs @mrdoob
Pretty good for an AI reconstruction of a walk through video generated in 5 minutes on a VPS I think!
I think today I'll make a demo video how the whole thing works and put that on https://t.co/067b4q25qy's landing page as it seems I can pivot the entire product to this and grow it again
This seems way more powerful than just basic image in image out restylings
If you have any idea what to add, let me know! 😍
This report is categorized under AITOP's "How-to" desk. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Three.js, levelsio, AI video, indie development.
Source attribution: curated from Pieter Levels (@levelsio).
