4DAnyone: Create Anyone in 4D from a Casual Monocular Video
4DAnyone outperforms prior methods in both novel-view video quality and downstream 4DGS reconstruction, with robust in-the-wild generalization.
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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4DAnyone outperforms prior methods in both novel-view video quality and downstream 4DGS reconstruction, with robust in-the-wild generalization.
A large-scale pre-training framework that utilizes synthetic cross-modal training signals, incorporating diverse data from various sources, to teach models to recognize and match fundamental structures across images, which generalizes effectively across more than eight unseen cross-modality registration tasks.
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