pytorch/examples
Is total variation loss necessary in fast_neural_style?
オープン
#278 opened on 2018/01/03
good first issuequestion
Repository metrics
- Stars
- (21,634 個のスター)
- PR merge metrics
- (PR metrics pending)
説明
I notice that there is no total variation loss regularization implemented in the example of fast_neural_style. But the paper declared it and their torch version use it. I'm wondering if total variation loss is necessary or not in style transfer.