English · 中文
I build feature-scale cinematic simulations, USD-native FX pipelines, and AI-assisted visual workflows.
I'm a Senior FX TD at DNEG in London with 9+ years of experience across feature film, episodic, and commercial production. My work spans large-scale ocean and FLIP, whitewater, pyro, smoke, RBD, Vellum, and MPM—with a strong focus on readable motion, resilient workflows, and final-frame quality.
🎬 FX Portfolio ·
- Building production-ready Houdini FX systems for feature-scale water, pyro, destruction, and environment work.
- Designing USD / Solaris pipelines for procedural assembly, stable handoff, and sequence-scale scene management.
- Developing Python, VEX, and
pxrautomation that reduces artist overhead and makes iteration more predictable. - Integrating ComfyUI, model fine-tuning, and AI image/video workflows into visual development and production.
- 🎞️ Ke Wang FX Portfolio — Reel-first portfolio covering cinematic water, environment FX, pyro, and production breakdowns.
- 🌊 Latest FX Showreel — Selected feature, episodic, and commercial work across large-scale simulation and shot delivery.
- 🧠 Houdini & VFX Tutorials — Practical breakdowns focused on production techniques and reusable workflows.
| Area | Tools & workflows |
|---|---|
| Simulation | Houdini · FLIP · Pyro · RBD · Vellum · MPM · Ocean & Whitewater |
| Scene pipeline | USD · Solaris / LOPs · Python · pxr · VEX |
| Look & delivery | Karma · Nuke · Lighting · Rendering · Shot integration |
| Visual AI | ComfyUI · Model fine-tuning · Image generation · AI video workflows |
DNEG · Nautilus · The Rig · Bodies · Ponniyin Selvan II · Apple Watch
I care about complex simulation, but I care more about whether it survives production and serves the shot.
English · 中文
我是 Ke Wang，现居伦敦，任职于 DNEG Senior FX TD，拥有 9 年以上电影、剧集与商业广告视效制作经验。
我专注于大规模电影级模拟，包括海洋、FLIP、白水、Pyro、烟雾、RBD、Vellum 与 MPM；同时使用 USD / Solaris、Python、VEX 与 pxr 构建可扩展、可交付的制作流程。近期工作也覆盖 ComfyUI、模型微调以及 AI 图像与视频工作流，探索 Visual AI 与传统 FX pipeline 的实际结合。
- 核心方向： 电影级模拟、USD-native pipeline、FX 自动化、Visual AI
- 制作原则： 画面优先、流程稳定、可扩展、可交付
- 所在地： London, United Kingdom