fig7

Deep learning-based inverse design and forward prediction of bi-material 4D-printed facial shells

Figure 7. The FCN was trained on the filtered RANDOM dataset and applied transfer learning to actual facial data. The inverse design process proceeds from the RGB image to the depth image, then to the inferred grid design, the manually adjusted grid design, and finally the inferred depth image. FCN: Fully convolutional network; RGB: Red, Green, and Blue.

Soft Science
ISSN 2769-5441 (Online)
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