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Fudan University, Shanghai, China, Fudan University
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Autonomous vehicles can now better navigate occluded environments thanks to a new risk map that understands both traffic flow and collision potential.
Achieve real-time, synchronized audio-visual generation at 25 FPS by distilling a bidirectional diffusion model into a fast, autoregressive architecture, overcoming training instability with novel alignment and token handling techniques.