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. To do so%2C we simply optimize the text embedding such that the cross-attention maps within the denoising network are localized as Gaussians with small standard deviations. We validate our performance on multiple datasets: the CelebA%2C CUB-200-2011%2C Tai-Chi-HD%2C DeepFashion%2C and Human3.6m datasets. We achieve significantly improved accuracy%2C sometimes even outperforming supervised ones%2C particularly for data that is non-aligned and less curated. Our code is publicly available and can be found through our project page: https:%2F%2Fubc-vision.github.io%2FStableKeypoints%2F?quality=80&w=800)
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Conclusion
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