菜单

关于 🐙 GitHub
arXiv 提交日期: 2026-01-28
📄 Abstract - Advancing Open-source World Models

We present LingBot-World, an open-sourced world simulator stemming from video generation. Positioned as a top-tier world model, LingBot-World offers the following features. (1) It maintains high fidelity and robust dynamics in a broad spectrum of environments, including realism, scientific contexts, cartoon styles, and beyond. (2) It enables a minute-level horizon while preserving contextual consistency over time, which is also known as "long-term memory". (3) It supports real-time interactivity, achieving a latency of under 1 second when producing 16 frames per second. We provide public access to the code and model in an effort to narrow the divide between open-source and closed-source technologies. We believe our release will empower the community with practical applications across areas like content creation, gaming, and robot learning.

顶级标签: video generation aigc systems
详细标签: world model video simulation open-source real-time generation long-term memory 或 搜索:

推进开源世界模型 / Advancing Open-source World Models


1️⃣ 一句话总结

这篇论文介绍了一个名为LingBot-World的高性能开源世界模拟器,它能够基于视频生成技术,在多种风格环境中实现高保真、长时记忆和实时交互的动态模拟,旨在通过开源推动其在内容创作、游戏和机器人学习等领域的应用。

源自 arXiv: 2601.20540