Comments (2)
Since our model is a fully convolutional network, trained on 256*256 images, our model can handle arbitrary image size.
Therefore, in this example, we just feed the whole image into the model to obtain the stylization result.
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Thank you, my multi-character results are not very ideal, I just touch this field, I continue to read the paper, ha ha ha
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Related Issues (20)
- about other style image training HOT 3
- can you provide a javascript veision ?please
- run HOT 1
- error with trainStructureTransfer.py HOT 10
- higher resolution HOT 3
- Image Matting HOT 7
- RuntimeError: The size of tensor a (256) must match the size of tensor b (254) at non-singleton dimension 1 HOT 1
- could the network generalize to the unseen style
- What license do you have? HOT 2
- about training HOT 3
- RuntimeError: The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 0 HOT 1
- One model for one style? HOT 4
- Can the Background become Transparent to merge with other images? HOT 2
- Testing with multiple scales in [0,n] HOT 1
- about testing multiple images HOT 1
- why training for 3 steps? HOT 4
- Is distance-based process necessary? HOT 2
- balloon special effects HOT 1
- I find some problem HOT 1
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