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Control over physical properties like friction and restitution in generated videos is now possible, paving the way for more realistic and controllable video synthesis.
Video diffusion models already contain implicit multi-view knowledge, making them surprisingly effective for novel view synthesis when adapted to ignore temporal coherence.
Real-time autonomous driving with language models is now possible, achieving 3x speedup and state-of-the-art performance by combining learned and rule-based planning.
