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what makes such lightweight backbone works so well? #23
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If it's not for the data, it can even be done more finely, and this method is the best solution so far. |
so,how we can generate high quality data for better result?fix the landmarks error in 300w data(like eyes) or rebuild a 3dmm model to replace bfm model? |
You can improve from the following directions:
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I used resnet50 instead of mobilenet_V1, but strangely, the results were worse. Why is such a simple model better? |
@chengfeng0113 what is BFM model? I am newly attached to this field. And How should I do to systhesis short video like 3ddfa_v2 paper? |
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@chengfeng0113 so after face profiling, the image boundary appears "zero" pixel ? I notice that in 3ddfaV1, face profiling will make "zero" pixel at image boundary. But in 3ddfav2, as author shows, there is no "zero" pixel. |
@chengfeng0113 and do you know what is "tri"? I am not familiar with this field. thank you. |
do you know how to generate the 3D render picture with color? |
i have try resnet-22 for reconstruction, but it's worse than your gif which put on the github? especially the mouth always open. can you tell me why? if you did something different from you public data? |
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compared to the previous version of your work, 3ddfa, 3ddfa_v2's structure is much simpler, but achieves better results. so i wonder if the meta-joint loss is the reason that enable mobilenet to outperform previous works. i would like to know your opinion on applying these methods(look ahead, combine different losses) to solving other tasks.
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