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Q-RBSA: High-Resolution 3D EBSD Map Generation Using An Efficient Quaternion Transformer Network
Our framework uses a quaternion residual block self-attention network (QRBSA) to generate high-resolution 3D EBSD maps from sparsely sectioned EBSD maps.
3DMaterialGAN: Learning 3D Shape Representation from Latent Space for Materials Science Applications
In the field of computer vision, unsupervised learning for 2D object generation has advanced rapidly in the past few years.
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