Google DeepMind Introduces Still-Moving for Video Models; Gen2Act Enhances Robot Actions with Zero-Shot Demonstrations

Google DeepMind has introduced a new method called Still-Moving, which allows users to apply any image customization method to video models. This includes personalization with DreamBooth, stylization with StyleDrop, and control with ControlNet, all in one method. Additionally, users can control the amount of generated motion. Separately, a new approach called Gen2Act has been developed to leverage off-the-shelf video-generation models for human video generation and robot policy execution. Gen2Act enables robots to perform diverse real-world tasks by conditioning their actions on generated human videos and providing zero-shot demonstrations for robot actions.