Comments (7)
是的,这个文件是数据处理过程中生成的,处理过程用到了[video-preprocessing。可以重新写一下dataloader直接使用mp4/png格式的数据。
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好的谢谢,可以发一下你的这个txt文件吗,我想看一下他的格式
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你好,我目前已经没有相关的文件了,但应该类似于:
1.mp4
2.mp4
3.mp4
表示训练集有上述3个视频。
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好的 非常感谢
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`损失函数中,为什么两次用到了自身重建对,与论文中提到的并不一致
rec_loss = self.criterion_vgg(fake_selfpose, img_target).mean()*2
rec_loss += self.criterion_vgg(fake_selfexp, img_source).mean()*2
rec_loss += F.l1_loss(fake_selfpose, img_target) rec_loss += F.l1_loss(fake_selfexp, img_source)
而且我理解的是,fake_selfpose和fake_selfexp都应该与img_source计算损失,为什么会使用到img_target呢
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你好 可以回答一下吗
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你好,感谢指出,已更正。自重建loss的目标是针对两个生成器进行自生成约束,因此GT应该和输入保持一致。实验中我们给vgg较大的权重,l1较小的权重,并且发现权重的轻微变化对于结果的影响较小。
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Related Issues (20)
- source video question
- Hello, I would like to request data
- Video editing with single source image & two driving videos? HOT 2
- Hello, I would like to request data HOT 3
- paste pose HOT 1
- 为什么我找不到输入一张图片和两张视频驱动的代码 HOT 3
- 如何确保原视频crop出来的头部视频,经过run_demo.py加工后,paste回原视频,脖子能接上 HOT 2
- License clarification, please?
- The loss functions in the project are inconsistent with the paper. HOT 1
- Great work, can you share an example of One-shot driving
- colab link HOT 1
- video is very blurry HOT 1
- face deformation HOT 1
- hugging face/collab not working
- 使用run_demo_paste.py,唇部会有重影
- training code issue HOT 2
- Gradio
- mlp_pose and mlp_exp?
- DPE处理过以后没有声音了
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