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The University of Hong Kong
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Direct 2D spatial composition with four binding types unlocks unprecedented controllability in poster generation, outperforming prompt-based methods.
Probabilistic forecasting models can now achieve 65% CRPS reduction with drastically fewer samples by directly learning the distribution shift between successive predictions.
