AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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MeshSeqGen is introduced, a zero-shot framework that simplifies this process by using the motions from generated video frames to guide mesh deformation, and its mesh-based Gaussian representation ensures the final animations are both plausible and structurally consistent.
FLASHand is proposed, the first feed-forward relightable and animatable 3D hand reconstruction model from a single RGB image, and introduces a mesh-based disentangled 2D Gaussian splatting hand representation to ensure plausible geometry generation and achieve high-fidelity animation and relighting.
This work proposes CameraSquad, a multi-trajectory camera control framework that supports both single-trajectory and parallel multi-trajectory generation, and designs a dual-mode cross-view attention mechanism that maintains consistency across parallel trajectories while guaranteeing camera control precision.
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