He grows up to become a valued member of the Survey Corps (the section of the military dedicated to eradicating the Titans) and swears revenge on them, but there's more to Eren — and the Titans — than meets the eye. As stunning as it is traumatizing, "Attack on Titan" is a must-...
Once again as the mouth is open you will generally want to position the jaw lower down when drawing it. Make the shape of the mouth itself similar to an “O”. You can also add a small curve below it to give a hint of the bottom lip. Like in the previous example you can again s...
Each episode has both a Japanese title (shown at the beginning of each episode) and an English title (displayed in the mid-episode eyecatches). Like the title Neon Genesis Evangelion, the English episode titles were created by GAINAX.
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To generate the training data, I need to know the names of three morphs: one that closes the left eye, one that closes the right, and one that opens the mouth. The last one is named "あ" in almost all models, so I did not have a problem with it. The situation is more difficult...
they will keep an eye on every procedure to keep they are with right sewing. Once we finished the covers, 6 skilled workers to check whether they are sewed well. After pp cotton stuffed, 8 skilled workers to shape the shapes, check the quality again, ...
they will keep an eye on every procedure to keep they are with right sewing. Once we finished the covers, 6 skilled workers to check whether they are sewed well. After pp cotton stuffed, 8 skilled workers to shape the shapes, check the quality again, befor...
To generate the training data, I need to know the names of three morphs: one that closes the left eye, one that closes the right, and one that opens the mouth. The last one is named "あ" in almost all models, so I did not have a problem with it. The situation is more difficult...
_eye = paddle.to_tensor(np.random.randint(0, EYE_NUM, size=(batch_size,1))).cuda() one_hot_hair = nn.functional.one_hot(rand_hair, num_classes=HAIR_NUM).reshape(shape=[batch_size, HAIR_NUM]) one_hot_eye = nn.functional.one_hot(rand_eye, num_classes=EYE_NUM).reshape(shape=[...