Comments (2)
- You can use a lower
--weight
. For example,--weight 0 0 0 0 0.5 0.5 0.75 1 1 1 1 1 1 1 1 1 1 1
will only transfer colors. - You can also perform optimization over the W+ to make better reconstruction.
- Based on your pretrained DualStyleGAN, you can also try VToonify
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Hello Researcher Yang.
Thank you very much for your prompt reply, I will try the above method and follow up by trying video style transfer. Thank you for your excellent work !!!
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Related Issues (20)
- RuntimeError: Error(s) in loading state_dict for Discriminator: HOT 10
- weight 设定有什么说法么? HOT 2
- Problems with training on Google Colab - FIXED HOT 1
- How do '(3) Training DualStyleGAN' on cpu
- 加载预训练模型出错 HOT 6
- 生成图片的脖子有痕迹 HOT 1
- Error occured when pretraining dualstylegan HOT 2
- Train with w-plus pSp encoder. HOT 2
- the gpu memory usage of finetuning dualstylegan on 8 gpus HOT 2
- Apart from Human images
- Freeze/crash in web demo on reconstruct_face()
- issue while installing HOT 18
- Fantastic work, I was wondering if I can still run this in my pc which has no GPU. HOT 4
- Fine-Tune DualStyleGAN on Target Domain auto terminate HOT 1
- Training fails HOT 2
- 訓練問題 HOT 5
- finetune_stylegan.py error - TypeError: 'tuple' object is not callable HOT 2
- train_sampler.py - IndexError
- 有没有更简单的app.py
- Error on notebook
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