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The text was updated successfully, but these errors were encountered:
你好,感谢你提出的问题!这里是指x_{t+1}经过去噪声之后得到对应的x_t,右上角的out表示他是去噪之后的输出,t表示对应timestep,之后取有artifact的部分与没有artifact部分进行拼接得到下一步的输入。
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你好 我想问一下 这个artifusion训练的时候是只用无伪影的图像进行训练 不需要什么mask啥的额外的东西吧 就像其他扩散模型一样 这样训练一个无伪影的重构网络。 然后 在推理的时候 只推理有伪影的图像的伪影部分对吧
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The text was updated successfully, but these errors were encountered: