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ELSA3D outperforms existing unified 3D models by halving computational costs while enhancing cross-modal reasoning precision.
Forget brute-force VLMs: parameter-efficient fine-tuning with high-quality rationales unlocks surprisingly accurate and interpretable time-series anomaly detection.
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.
