Comments (2)
nkolkin13
commented on August 20, 2024
1
Hi! This method (and many other style transfer methods) don't require any training. It uses VGG-16 pretrained on imagenet classification to extract features, but we don't train anything from scratch. We directly optimize the pixels of the output image based on these features, and this optimization is unique to each content/style input pair.
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codingbaobao
commented on August 20, 2024
Oh, okay. Looks like i misunderstand it...
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Related Issues (13)
- content weight question HOT 2
- output path and file name HOT 3
- get black result pciture when using 3-channel gray picture as style image
- What Python is this? HOT 4
- question about processing time at each scale HOT 7
- dec_lap_pyr parameter ? HOT 2
- Hi Nick! Great Paper, I had a small doubt! HOT 1
- [Q] Speed up the code HOT 1
- Should create a pull request? HOT 1
- Could not find a format to read the specified file in mode 'i' HOT 1
- error when run python3 styleTransfer.py content.jpg style2.jpg 1
- Output does not work when working with single-channel grayscale images
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