Search papers, labs, and topics across Lattice.
4
0
4
0
Vidu S2, which comprises Vidu S2-Avatar, a real-time interactive digital-character model, and Vidu S2-Editing, a real-time video editing model, is presented and the feasibility of real-time spatial video generation for both Vidu S2-Avatar and Vidu S2-Editing is explored.
Even the most visually stunning video generation models struggle to maintain character continuity across shots, revealing a critical gap in current evaluation methods.
Visual in-context learning transforms video editing by seamlessly integrating visual cues with textual instructions, achieving state-of-the-art results.
Voice-controlled video generation just got a major upgrade with Vidu S1, achieving real-time performance without visual distortion.
