Filtered to video world models · clear filter
This paper introduces SolarWM, an open framework for training video world models from diverse datasets and using different video backbones, allowing for more consistent and reproducible results. Practitioners can use SolarWM to build interactive video world models that can be applied to various real-world applications.
This paper introduces a new AI model called DreamX-Phi 1.0 that can predict what will happen in a robotic manipulation scenario, given an initial state and instructions. This model is useful for robotics developers because it can help them design more reliable and efficient robotic systems.
This paper develops a system called AlayaWorld that can generate interactive virtual worlds from text, images, or videos, allowing for customizable and evolving environments. Practitioners in areas like game development, virtual reality, or interactive storytelling might care about this research for its potential to streamline the creation of immersive experiences.