品玩6月19日讯，据 Arixv 页面显示，Google Research 近日联合华盛顿大学推出一款大模型产品 TryOnDiffusion。
TryOnDiffusion 可以将两幅图片进行合成，帮照片中的人物更换不同的服饰。此前这类模型通常会存在缺乏服饰细节的缺点。而 TryOnDiffusion 利用一种被称为并行 UNet 的扩散式架构，让合成的照片可以在保留服饰细节的情况下适应人体的姿势以及形状变化。UNet 的核心是使用交叉注意机制来让服饰变形。此外，研发团队还将衣物扭曲和人物融合成为一个任务，而不是两个独立的任务。
实验结果表明，TryOnDiffusion在定量和定性上均达到了具有竞争力的最先进水平。
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