DSFNet
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training loss
3DMM's shape_para, exp_para, and Tm values are very large, causing a large loss in the early stages of training. How can this be addressed?
@lhyfst
loss['shape_para_ms'] = self.rse(targets['shape_para'],shape_para_ms)*1e-5
loss['shape_para_is'] = self.rse(targets['shape_para'],shape_para_is)*1e-5
想请问如何快速学到Tm的值,Tm矩阵的数据分布差异较大