Award for Reproducing the Paper Results
Hi,
If ANYONE succeeded in reproducing the paper results, you are welcome to send your training code along with your huobi wallet address to me via [email protected]. After checking the results myself, I will send 0.3ETH(≈800$) to your wallet but only for the first provider : )
Thanks ~
you'd better train your net on 3ddfa_v1, v2's pipeline is too complicated.
I have no difficulty in representing v1.0, however, I made much effort but failed to represent v2.0, some methods in the paper just didn't work well for me.
The benefit of meta-joint optimization is limited, more augmentation produces better results. If possible, using externel data (the paper only uses 300W-LP) may promote the generalization ability. @zcy8123878