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State-of-the-art vision-language models fail to leverage visual context, leading to biased outputs, but a new training framework shows they can learn to infer concepts from image sets effectively.
Forget generating entire videos – this method distills motion into a highly compressed latent space, letting you steer scene dynamics with text prompts at unprecedented speeds.
