Yu's Meeting

This is the Friday Meeting Topic of Zhu Yu.

FridayMeeting_20230421

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可以将MPL实验的细节,比如:数据修改、loss修改、training分析等po上来

对于该方法细节上的讨论,包括github上作者的回复,请以QA形式整理好传上来。

Questions of Dense Interspecies Face Embedding:

1、Q : Is the Source Image shown in experiment results in paper the Synthesized Image or the orginal input image of the dataset?
A : The Source Image is the original input image of the dataset because the need for the labeled data.
[Here is the answer of the author]
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2、Q : How this method does the inference in the paper?
A : The images are preprocessed and fed into the model and we get its corresponding DIFE.

3、Q : Did DIFE learn the feature information of StyleGAN2 by reducing the distance between the domain-specific embedding and the feature map of the original map extracted by StyleGAN2?
A : This process only plays an indirect role.The DIFE encoder is trained both by distance to CSE and by semantic matching to pseudo-paired images.
[Here is the answer of the author]
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4、Q : When it comes to semantic matching loss,is the pixel embedding of the original image matched with the weighted small region embedding of the pseudo-paired image?
A : Yes.And Pixel embedding means that for each pixel in the input image, a vector is generated at the corresponding position to encode local feature information about the pixel. Feature embedding is the encoding of a set of high-dimensional features into a low-dimensional vector, which is used to extract global feature information,rather than the relationship between features and pixels in the feature map.

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