Back to AI Lab
Video Generation
Research papers, repositories, and articles about video generation
Showing 2 of 2 items
Future Optical Flow Prediction Improves Robot Control & Video Generation
FOFPred trains a language-conditioned vision model to forecast dense motion fields in video. That single model then boosts both robot control and text-guided video generation in downstream tasks.
Kanchana Ranasinghe, Honglu Zhou
X-Humanoid: Robotize Human Videos to Generate Humanoid Videos at Scale
X-Humanoid presents a scalable way to "robotize" human videos, turning ordinary human motion into humanoid-robot video at scale. By adapting a powerful video generative model and building a large synthetic paired dataset in Unreal Engine, it can translate complex third-person human motions into physically plausible humanoid animations, unlocking web-scale data for embodied AI.
Pei Yang, Hai Ci