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Training video generation models to explicitly infer latent physical properties yields more physically plausible videos than simply scaling data and model size.
Text-to-3D generation gets a semantic upgrade: DreamPartGen creates 3D objects with parts that not only look right but also understand their relationships and align with textual descriptions.