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Experimental Results regarding multiple Machine Learning via Quaternions
In this study, we explore the use of quaternions to represent and classify rotation data, using randomly generated quaternion data and corresponding labels, converting quaternions to rotation matrices, and using them as input features.
StyleGAN3: Generative Networks for Improving the Equivariance of Translation and Rotation
StyleGAN can use style to affect facial posture and identity features, and noise to affect hair, wrinkles, skin color and other details.
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