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Purdue University
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ShellMaker achieves architectural coherence by seamlessly integrating language guidance with structural constraints, revolutionizing exterior completion in building design.
Generate diverse urban vegetation patterns that induce specific temperature changes, even when such combinations are absent from training data, using a novel conflated inverse modeling framework.
