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GenCeption repurposes pre-trained video generative models into a single unified feed-forward vision model that achieves state-of-the-art performance across multiple tasks with exceptional data efficiency, marking a shift toward general-purpose visual intelligence.
NEPA is a new method for visual self-supervised learning and generative pretraining that predicts the next embedding autoregressively, and has been added to a benchmark for evaluation.