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Achieve state-of-the-art medical image fusion and super-resolution by jointly processing tri-modal inputs with a wavelet-guided diffusion model that explicitly handles frequency imbalances.
Achieve nearly 50% improvement in plant age and leaf count prediction by fusing CLIP embeddings with multi-view imagery, even when views are missing or unordered.
