Thanks again for this work and share. In the paper, I see the following line "In particular, for a fair comparison, we train SDAFN+ model like PFAPN...". One advantage I see of using something like SDAFN+ is that we don't have to agnostic images or pose images as input during inferencing. (Apart from your research. goals of comparing with PFAFPN..) . Could you please let know if indeed you have a trained SDAFN+ model shared publicly?
Dear @ShuaiBai623 ,
Thanks again for this work and share. In the paper, I see the following line "In particular, for a fair comparison, we train SDAFN+ model like PFAPN...". One advantage I see of using something like SDAFN+ is that we don't have to agnostic images or pose images as input during inferencing. (Apart from your research. goals of comparing with PFAFPN..) . Could you please let know if indeed you have a trained SDAFN+ model shared publicly?
Thanks, Arun