Comments (4)
tranluan
commented on July 24, 2024
Can you elaborate on your question?
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wangxinjun56
commented on July 24, 2024
the G_images_300W_mask .shape is wrong, should be batchsize * 224 * 224 * 3 that can multiply with input_masks_300W
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tranluan
commented on July 24, 2024
The shape is batchsize * 224 * 224 * 1, which is ok for the multiplication.
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linshuheng6
commented on July 24, 2024
@tranluan Hello， could you please tell how to render the generated image with only face part? Or how to obtain the index of those vertices of face which doesn't include the neck and ear? The mask from Z-buffer includes neck, which is not expected. Thank you !
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Related Issues (20)
- G_loss_frecon = tf.zeros(1)??? HOT 11
- Missing perceptual loss (G_loss_frecon = tf.zeros(1)) HOT 5
- InternalError: Failed to create session. HOT 1
- About requirements HOT 5
- Demo (Test) code HOT 8
- NameError: global name 'load_FaceAlignment_vt2pixel' is not defined
- Error in running rendering_example.py : undefined symbol: _ZN10tensorflow12OpDefBuilder5InputESs HOT 4
- Training config. (Training set size?)
- After training your model, the Rendered Image has no texture on it! HOT 7
- Pretrained model HOT 12
- How to get 3D mesh from your model's output? HOT 15
- Rendering Layer Not Differentiable. Cannot train with wild images. HOT 3
- Does G_loss_frecon need to modify it when using VGG-Face?
- Has anyone solved the code in the model_non_linear_3DMM file for solving the perceptual loss G_loss_frecon?
- Complie the render layer the error HOT 3
- The file ‘good_images.dat’ was not found
- About the l2,1 loss
- What is the version of tf?
- Generate 3DMM parameters.
- Cannot run rendering_example.py
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