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Achieving high visual fidelity while ensuring physical consistency in video generation could redefine the standards for simulating realistic interactions in AI-generated content.
CIPE-Dance is a game-changer, providing the largest dataset for dance video generation and enabling OmniDance to set new benchmarks in multimodal video synthesis.
Achieve state-of-the-art real-world image dehazing by jointly reconstructing the clear scene and scattering variables, even with non-uniform haze and complex lighting.
Flow-based generative models disentangle concepts naturally during a pivotal "Instantiation Stage," offering a sweet spot for targeted manipulation.