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Excuse me ,is there any Caffe implementation code?
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In constructing a neural network in Tensorflow, user can choose to initialise the weight value as a `tf.varialble` or `tf.const`. The latter means that the weight will not be updated during training. …
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- Abstract (2-3 lines)
Neural Style Transfer is a technique using which one can convert there own pictures into amazing artistic pieces! It uses one Content Image and one Style Image (which is usuall…
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As it is shown in the paper "Controlling Perceptual Factors in Neural Style Transfer", there is spatial control, have you try it? (https://arxiv.org/abs/1611.07865).
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The fast neural style is really faster with GPU backends. But I cant find any option to control the style transfer ratio as argument. How to tune the ratio to get desired result?
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I find prisma seems to preserve more details when do style transfer. Following is an example:
origin image
![free](https://cloud.githubusercontent.com/assets/100203/19834713/5f8a0660-9ea6-11e6-8769-…
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1. May 2019
- [x] OverFeat
- [x] YOLO
- [ ] YOLOv2
- [ ] YOLOv3
2. June 2019
- [ ] Neural Style Transfer
- [ ] FaceNet
- [ ] DeepFace
- [ ] RCNN
- [ ] Fast RCNN
- [ ] …
kyscg updated
4 years ago
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Hi, thanks for such fast model, I have tried your code and followed steps. So, initially I am getting this error:
TypeError: Cannot handle this data type: (1, 1, 3),
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Your issue may already be reported!
Please search on the [issue tracker](https://github.com/pytorch/serve/examples) before creating one.
I wanna train new style model
run this cmd
!unzip trai…
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Hi, I built an App that can transfer style between any two images. It uses fast-neural-style and AdaIN style transfer (https://github.com/xunhuang1995/AdaIN-style) and some of my own modification. The…