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Achieve SOTA medical image segmentation with barely any labels by combining fine-grained visual features with text-based semantic guidance.
Achieve SOTA in both visual generation and understanding by harmonizing generative and semantic representations within a single ViT architecture.
Achieve superior scene-consistent video generation by training a model to iteratively estimate geometry and render novel views, using geometry as context.
