Comments (2)
vtddggg
commented on September 28, 2024
I have understood what your code mean. It seems that a Variational Autoencoder is trained to guess the color information.
from deepcolor.
zjgirl
commented on September 28, 2024
Do you really think the code matchs with the paper? I think the code doesn't contain two networks (although the two networks are the same). It seems it achieves the direct network which has L1 loss and adversial loss. But it doesn't achieve what the paper says.
from deepcolor.
Related Issues (14)
- An error with your code HOT 3
- error occured during downloading dataset
- ValueError: Dimension 1 in both shapes must be equal, but are 256 and 16. Shapes are [1,256,256] and [1,16,16]. for 'concat_1' (op: 'ConcatV2') with input shapes: [1,256,256,4], [1,16,16,3], [] and with computed input tensors: input[2] = <3>.
- Is any err in this code? HOT 3
- pre-trained model HOT 4
- pre-trained model not available HOT 2
- maybe self tf.leakyrelu function is wrong
- What different between this project and PaintsChainer HOT 1
- what function merge and merge_color mean ? HOT 1
- Application fails w/ ubuntu 16.04
- What is the license on this? HOT 1
- I have a question about data process "main.imageblur()" +1
- Question about line art
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from deepcolor.