MiniMax发布H3-World视频生成模型

We built H3 to generate videos. But the team found a "world" inside it. 🌍 "Only 8K samples + 0.199...

精选理由

MiniMax用极少量参数把H3变成了世界模型,直接复用语言理解能力控制世界,太巧妙了。

AI 摘要

MiniMax团队将H3视频生成模型转化为世界模型,仅需8K样本和0.199%可训练参数。H3-World直接利用H3预训练的语言理解能力实现世界控制,无需新增动作模块。该模型在Hugging Face上已发布论文,展示了视频生成与理解的结合。

原文 · Hailuo AI

We built H3 to generate videos. But the team found a "world" inside it. 🌍 "Only 8K samples + 0.199...

We built H3 to generate videos. But the team found a "world" inside it. 🌍 "Only 8K samples + 0.199% trainable parameters." "Directly turning H3’s existing language understanding into character and camera control."...➡️ The most exciting part isn’t just that "H3 can also become a world-model", it’s how little had to be added. That’s another thing we love about open models. People don’t just improve what you build. They uncover possibilities you didn’t even know were already there. Huge shoutout to the team! 💜 Xingyi Yang @yxy2168 We share H3-World 🌍 The first to turn MiniMax-H3 itself into world model. No new action module. We directly convert H3’s pretrained language understanding into world control. Only 8K samples + 0.199% Trainable Params. � huggingface.co/papers/2609.01… Js danzer1xxxxchan.github.io/H3-World/ Al8 Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 0 🔄 1 ❤️ 1 👀 115 ⚡

MiniMax发布H3-World视频生成模型 · AI 热点