Comments (4)
williamyang1991
commented on May 30, 2024
I just intuitively want that at any time, both the paths of controllable resblock will be updated.
I did not specifically carry out the ablation study. So I'm not sure whether label smoothing will bring performance gains or drops.
I guess the effect of this step is insignificant.
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Danee-wawawa
commented on May 30, 2024
OK, thank you~In addition, your method is one model for one style. If I want to implement a general model for image2text style transfer, is there any method or paper recommended?^_^
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williamyang1991
commented on May 30, 2024
If you want an Arbitrary-Style-Per-Model Neural Method,
you can refer to https://github.com/ycjing/Neural-Style-Transfer-Papers for the style transfer review.
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Danee-wawawa
commented on May 30, 2024
OK, thank you~^_^
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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
- The stylization of a string HOT 2
- why training for 3 steps? HOT 4
- Is distance-based process necessary? HOT 2
- balloon special effects HOT 1
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