Ha0Tang / C2GAN

[ACM MM 2019 Oral] Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation
http://disi.unitn.it/~hao.tang/project/C2GAN.html
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Why not add L1 loss of Keypoint generator? #8

Closed sitadivon closed 4 years ago

sitadivon commented 4 years ago

The whole loss consists of: GAN loss(both Keypoint and Image) Cycle loss(both Keypoint and Image) L1 loss(Only Image)

I wonder why you not add L1 loss of Keypoint. Did you experiment with that?

Ha0Tang commented 4 years ago

How to use the L1 loss of keypoint?

sitadivon commented 4 years ago

Sorry, I asked a stupid question. I didn't distinguish between cycle loss and L1 loss. Thank you for your patience!

Ha0Tang commented 4 years ago

No worries.